From ad6ef825ebe406e5644a523171e6d9f003af347b Mon Sep 17 00:00:00 2001 From: "tina-cloud-app[bot]" <58178390+tina-cloud-app[bot]@users.noreply.github.com> Date: Tue, 25 Mar 2025 07:55:52 +0000 Subject: [PATCH 1/3] TinaCMS content update --- content/pages/home.md | 30 ++++++++++++++++-------------- 1 file changed, 16 insertions(+), 14 deletions(-) diff --git a/content/pages/home.md b/content/pages/home.md index 5af6514..6349480 100644 --- a/content/pages/home.md +++ b/content/pages/home.md @@ -157,13 +157,13 @@ blocks: - repoNameen: CC1M-Adv-C/F repoNamezh: CC1M-Adv-C/F repoTexten: >- - Two million-scale adversarial images datasets. CC1M-Adv-C was generated - to evaluate classification models, while CC1M-Adv-F can be applied to any - vision models. + Two million-scale adversarial images datasets. CC1M-Adv-C was + generated to evaluate classification models, while CC1M-Adv-F can be + applied to any vision models. repoTextzh: >- This comprehensive visibility allows for a meticulous examination of - security loopholes, enabling us to simulate real-world attack scenarios - pinpoint accuracy. + security loopholes, enabling us to simulate real-world attack + scenarios pinpoint accuracy. linkImage: src: /uploads/GitHubButton.png alt: CC1M-Adv-C/F @@ -172,12 +172,13 @@ blocks: - repoNameen: AdvPatch-1K repoNamezh: AdvPatch-1K repoTexten: >- - The first physical-world adversarial T-shirt dataset released to evaluate - the robustness of object detection models and support defense research. + The first physical-world adversarial T-shirt dataset released to + evaluate the robustness of object detection models and support defense + research. repoTextzh: >- This comprehensive visibility allows for a meticulous examination of - security loopholes, enabling us to simulate real-world attack scenarios - pinpoint accuracy. + security loopholes, enabling us to simulate real-world attack + scenarios pinpoint accuracy. linkImage: src: /uploads/GitHubButton.png alt: AdvPatch-1K @@ -193,14 +194,14 @@ blocks: titlezh: ImageNet subtitleen: Feature Attack subtitlezh: 特征攻击 - modelSum: 10 + modelSum: 1112 score: '4.8' detailen: '' - titleen: ADE20K - Semantic Segmentation titlezh: ADE20K - 语义分割 subtitleen: Feature Attack subtitlezh: 特征攻击 - modelSum: 10 + modelSum: 176 score: '4.8' - titleen: CIFAR100 - Image Classification titlezh: CIFAR100 - 图像分类 @@ -211,7 +212,7 @@ blocks: titlezh: ImageNet subtitleen: Label Attack subtitlezh: 类别攻击 - modelSum: 10 + modelSum: 1112 score: '4.8' detailen: '' detailzh: Reviewed by more than 200K Users @@ -219,7 +220,7 @@ blocks: titlezh: COCO - OD subtitleen: Feature Attack subtitlezh: 特征攻击 - modelSum: 10 + modelSum: 394 score: '4.8' detailen: '' detailzh: Reviewed by more than 200K Users @@ -227,7 +228,7 @@ blocks: titlezh: 语义分割 subtitleen: Feature Attack subtitlezh: 特征攻击 - modelSum: 10 + modelSum: 152 score: '4.8' detailen: '' detailzh: Reviewed by more than 200K Users @@ -253,3 +254,4 @@ blocks: rightListTitlezh: '' _template: testimonial --- + From 016ec3c746778ceff898e387707da32715b5f63a Mon Sep 17 00:00:00 2001 From: zhengweijie <1254312584@qq.com> Date: Wed, 26 Mar 2025 15:51:53 +0800 Subject: [PATCH 2/3] try reorder --- content/pages/leaderboards.md | 21709 +++++++++++++++++--------------- 1 file changed, 11540 insertions(+), 10169 deletions(-) diff --git a/content/pages/leaderboards.md b/content/pages/leaderboards.md index fac4018..5ee90b8 100644 --- a/content/pages/leaderboards.md +++ b/content/pages/leaderboards.md @@ -24,2137 +24,2020 @@ blocks: - titlezh: Image Classification titleen: Image Classification - ImageNet rankings: - - nameen: ConvNeXtV2-L + Swin-L - namezh: ConvNeXtV2-L + Swin-L - paper: - text: >- - MixedNUTS: Training-Free Accuracy-Robustness Balance via - Nonlinearly Mixed Classifiers - link: null - download: 2223 - datasetA: '71.16' - datasetB: '34.2' - ranking: '1' - - nameen: Swin-L - namezh: Swin-L - paper: - text: >- - A Comprehensive Study on Robustness of Image Classification - Models: Benchmarking and Rethinking - link: null - download: 5902 - datasetA: '71.12' - datasetB: '21.67' - ranking: '2' - - nameen: ConvNeXt-L - namezh: ConvNeXt-L - paper: - text: >- - A Comprehensive Study on Robustness of Image Classification - Models: Benchmarking and Rethinking - link: null - download: 4450 - datasetA: '71.09' - datasetB: '31.85' - ranking: '3' - - nameen: ConvNeXt-L + ConvStem - namezh: ConvNeXt-L + ConvStem - paper: - text: >- - Revisiting Adversarial Training for ImageNet: Architectures, - Training and Generalization across Threat Models - link: null - download: 2240 - datasetA: '71.02' - datasetB: '35.55' - ranking: '4' - - nameen: Swin-B - namezh: Swin-B - paper: - text: >- - A Comprehensive Study on Robustness of Image Classification - Models: Benchmarking and Rethinking - link: null - download: 8224 - datasetA: '71.01' - datasetB: '27.63' - ranking: '5' - - nameen: ConvNeXt-B - namezh: ConvNeXt-B - paper: - text: >- - A Comprehensive Study on Robustness of Image Classification - Models: Benchmarking and Rethinking - link: null - download: 9006 - datasetA: '71.01' - datasetB: '48.13' - ranking: '6' - - nameen: ConvNeXt-B + ConvStem - namezh: ConvNeXt-B + ConvStem - paper: - text: >- - Revisiting Adversarial Training for ImageNet: Architectures, - Training and Generalization across Threat Models - link: null - download: 5431 - datasetA: '70.99' - datasetB: '50.16' - ranking: '7' - - nameen: ViT-B + ConvStem - namezh: ViT-B + ConvStem - paper: - text: >- - Revisiting Adversarial Training for ImageNet: Architectures, - Training and Generalization across Threat Models - link: null - download: 6491 - datasetA: '70.94' - datasetB: '34.69' - ranking: '8' - - nameen: ConvNeXt-S + ConvStem - namezh: ConvNeXt-S + ConvStem - paper: - text: >- - Revisiting Adversarial Training for ImageNet: Architectures, - Training and Generalization across Threat Models - link: null - download: 6670 - datasetA: '70.86' - datasetB: '51.94' - ranking: '9' - - nameen: RaWideResNet-101-2 - namezh: RaWideResNet-101-2 - paper: - text: >- - Robust Principles: Architectural Design Principles for - Adversarially Robust CNNs - link: null - download: 2641 - datasetA: '70.82' - datasetB: '31.72' - ranking: '10' - - nameen: ConvNeXt-T + ConvStem - namezh: ConvNeXt-T + ConvStem - paper: - text: >- - Revisiting Adversarial Training for ImageNet: Architectures, - Training and Generalization across Threat Models - link: null - download: 6192 - datasetA: '70.75' - datasetB: '48.74' - ranking: '11' - - - nameen: bat_resnext26ts - namezh: bat_resnext26ts + - nameen: rexnet_300 + namezh: rexnet_300 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3336 - datasetA: '70.72' - datasetB: '15.13' - ranking: '12' + download: 2770 + datasetA: '35.36' + datasetB: '53.86' + ranking: '773' - - nameen: beit_base_patch16_224 - namezh: beit_base_patch16_224 + - nameen: nf_regnet_b2 + namezh: nf_regnet_b2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8472 - datasetA: '70.71' - datasetB: '36.88' - ranking: '13' + download: 4668 + datasetA: '46.68' + datasetB: '53.84' + ranking: '553' - - nameen: beit_base_patch16_384 - namezh: beit_base_patch16_384 + - nameen: hrnet_w18_ssld + namezh: hrnet_w18_ssld paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4529 - datasetA: '70.67' - datasetB: '14.6' - ranking: '14' + download: 5635 + datasetA: '53.89' + datasetB: '53.83' + ranking: '383' - - nameen: beit_large_patch16_224 - namezh: beit_large_patch16_224 + - nameen: rexnetr_150 + namezh: rexnetr_150 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3147 - datasetA: '70.66' - datasetB: '32.97' - ranking: '15' + download: 2494 + datasetA: '35.21' + datasetB: '53.75' + ranking: '776' - - nameen: beit_large_patch16_384 - namezh: beit_large_patch16_384 + - nameen: repghostnet_080 + namezh: repghostnet_080 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9974 - datasetA: '70.63' - datasetB: '17.18' - ranking: '16' + download: 4221 + datasetA: '42.24' + datasetB: '53.71' + ranking: '644' - - nameen: beit_large_patch16_512 - namezh: beit_large_patch16_512 + - nameen: repghostnet_100 + namezh: repghostnet_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5558 - datasetA: '70.57' - datasetB: '46.24' - ranking: '17' + download: 4031 + datasetA: '42.2' + datasetB: '53.65' + ranking: '645' - - nameen: beitv2_base_patch16_224 - namezh: beitv2_base_patch16_224 + - nameen: resnet101 + namezh: resnet101 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7363 - datasetA: '70.54' - datasetB: '20.4' - ranking: '18' + download: 7956 + datasetA: '37.85' + datasetB: '53.6' + ranking: '718' - - nameen: beitv2_large_patch16_224 - namezh: beitv2_large_patch16_224 + - nameen: mobilenetv3_small_050 + namezh: mobilenetv3_small_050 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7756 - datasetA: '70.53' - datasetB: '14.67' - ranking: '19' + download: 1414 + datasetA: '48.33' + datasetB: '53.58' + ranking: '503' - - nameen: botnet26t_256 - namezh: botnet26t_256 + - nameen: eva_large_patch14_336 + namezh: eva_large_patch14_336 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7753 - datasetA: '70.5' - datasetB: '28.74' - ranking: '20' + download: 1241 + datasetA: '57.39' + datasetB: '53.54' + ranking: '299' - - nameen: botnet50ts_256 - namezh: botnet50ts_256 + - nameen: hardcorenas_e + namezh: hardcorenas_e paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2350 - datasetA: '70.48' - datasetB: '23.03' - ranking: '21' + download: 7558 + datasetA: '54.66' + datasetB: '53.54' + ranking: '362' - - nameen: caformer_b36 - namezh: caformer_b36 + - nameen: hgnetv2_b2 + namezh: hgnetv2_b2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3920 - datasetA: '70.4' - datasetB: '38.64' - ranking: '22' + download: 7042 + datasetA: '54.37' + datasetB: '53.49' + ranking: '369' - - nameen: caformer_m36 - namezh: caformer_m36 + - nameen: levit_conv_512d + namezh: levit_conv_512d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3945 - datasetA: '70.33' - datasetB: '21.35' - ranking: '23' + download: 6666 + datasetA: '51.58' + datasetB: '53.43' + ranking: '435' - - nameen: caformer_s18 - namezh: caformer_s18 + - nameen: lcnet_035 + namezh: lcnet_035 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7910 - datasetA: '70.28' - datasetB: '21.09' - ranking: '24' + download: 8948 + datasetA: '52.87' + datasetB: '53.42' + ranking: '401' - - nameen: caformer_s36 - namezh: caformer_s36 + - nameen: efficientnetv2_rw_s + namezh: efficientnetv2_rw_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3180 - datasetA: '70.18' - datasetB: '52.45' - ranking: '25' + download: 6527 + datasetA: '59.14' + datasetB: '53.4' + ranking: '258' - - nameen: cait_m36_384 - namezh: cait_m36_384 + - nameen: lcnet_050 + namezh: lcnet_050 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3647 - datasetA: '70.16' - datasetB: '31.13' - ranking: '26' + download: 1131 + datasetA: '52.83' + datasetB: '53.4' + ranking: '402' - - nameen: cait_m48_448 - namezh: cait_m48_448 + - nameen: convformer_m36 + namezh: convformer_m36 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5559 - datasetA: '70.04' - datasetB: '46.6' - ranking: '27' + download: 2712 + datasetA: '68.56' + datasetB: '53.39' + ranking: '67' - - nameen: cait_s24_224 - namezh: cait_s24_224 + - nameen: vgg19 + namezh: vgg19 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9853 - datasetA: '69.98' - datasetB: '17.69' - ranking: '28' + download: 2616 + datasetA: '28.38' + datasetB: '53.24' + ranking: '929' - - nameen: cait_s24_384 - namezh: cait_s24_384 + - nameen: volo_d4_448 + namezh: volo_d4_448 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4231 - datasetA: '69.97' - datasetB: '28.35' - ranking: '29' + download: 5869 + datasetA: '21.73' + datasetB: '53.22' + ranking: '1083' - - nameen: cait_s36_384 - namezh: cait_s36_384 + - nameen: resnet50t + namezh: resnet50t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9192 - datasetA: '69.96' - datasetB: '47.99' - ranking: '30' + download: 1027 + datasetA: '38.16' + datasetB: '53.19' + ranking: '709' - - nameen: cait_xs24_384 - namezh: cait_xs24_384 + - nameen: tf_mobilenetv3_small_100 + namezh: tf_mobilenetv3_small_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8357 - datasetA: '69.93' - datasetB: '20.92' - ranking: '31' + download: 3180 + datasetA: '30.05' + datasetB: '53.17' + ranking: '899' - - nameen: cait_xxs24_224 - namezh: cait_xxs24_224 + - nameen: vit_medium_patch16_gap_384 + namezh: vit_medium_patch16_gap_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8597 - datasetA: '69.91' - datasetB: '35.79' - ranking: '32' + download: 2202 + datasetA: '24.78' + datasetB: '53.17' + ranking: '1015' - - nameen: cait_xxs24_384 - namezh: cait_xxs24_384 + - nameen: efficientvit_b2 + namezh: efficientvit_b2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8056 - datasetA: '69.9' - datasetB: '15.86' - ranking: '33' + download: 5615 + datasetA: '58.96' + datasetB: '53.16' + ranking: '264' - - nameen: cait_xxs36_224 - namezh: cait_xxs36_224 + - nameen: nfnet_f5 + namezh: nfnet_f5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5564 - datasetA: '69.83' - datasetB: '29.99' - ranking: '34' + download: 5806 + datasetA: '46.01' + datasetB: '53.16' + ranking: '568' - - nameen: cait_xxs36_384 - namezh: cait_xxs36_384 + - nameen: deit3_large_patch16_384 + namezh: deit3_large_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8555 - datasetA: '69.81' - datasetB: '38.1' - ranking: '35' + download: 1739 + datasetA: '64.55' + datasetB: '53.12' + ranking: '144' - - nameen: coat_lite_medium - namezh: coat_lite_medium + - nameen: efficientnet_el + namezh: efficientnet_el paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2967 - datasetA: '69.66' - datasetB: '39.33' - ranking: '36' + download: 8558 + datasetA: '60.14' + datasetB: '53.06' + ranking: '241' - - nameen: coat_lite_medium_384 - namezh: coat_lite_medium_384 + - nameen: mobilenet_edgetpu_v2_l + namezh: mobilenet_edgetpu_v2_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3986 - datasetA: '69.64' - datasetB: '14.49' - ranking: '37' + download: 6471 + datasetA: '48.99' + datasetB: '53.04' + ranking: '489' - - nameen: coat_lite_mini - namezh: coat_lite_mini + - nameen: efficientvit_m4 + namezh: efficientvit_m4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6822 - datasetA: '69.61' - datasetB: '47.05' - ranking: '38' + download: 1180 + datasetA: '58.5' + datasetB: '52.99' + ranking: '273' - - nameen: coat_lite_small - namezh: coat_lite_small + - nameen: tf_mixnet_l + namezh: tf_mixnet_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1387 - datasetA: '69.6' - datasetB: '20.24' - ranking: '39' + download: 9276 + datasetA: '30.28' + datasetB: '52.88' + ranking: '892' - - nameen: coat_lite_tiny - namezh: coat_lite_tiny + - nameen: mobilenetv4_conv_medium + namezh: mobilenetv4_conv_medium paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9254 - datasetA: '69.5' - datasetB: '28.28' - ranking: '40' + download: 9127 + datasetA: '48.08' + datasetB: '52.87' + ranking: '509' - - nameen: coat_mini - namezh: coat_mini + - nameen: regnetz_040_h + namezh: regnetz_040_h paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9924 - datasetA: '69.45' - datasetB: '39.57' - ranking: '41' + download: 8231 + datasetA: '43.03' + datasetB: '52.81' + ranking: '633' - - nameen: coat_small - namezh: coat_small + - nameen: vgg11 + namezh: vgg11 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5532 - datasetA: '69.44' - datasetB: '32.56' - ranking: '42' + download: 3706 + datasetA: '28.99' + datasetB: '52.73' + ranking: '923' - - nameen: coat_tiny - namezh: coat_tiny + - nameen: convnextv2_large + namezh: convnextv2_large paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4899 - datasetA: '69.44' - datasetB: '15.89' - ranking: '43' + download: 7852 + datasetA: '67.3' + datasetB: '52.67' + ranking: '96' - - nameen: coatnet_0_224 - namezh: coatnet_0_224 + - nameen: ese_vovnet39b + namezh: ese_vovnet39b paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4432 - datasetA: '69.43' - datasetB: '42.68' - ranking: '44' + download: 5184 + datasetA: '58.32' + datasetB: '52.54' + ranking: '278' - - nameen: coatnet_0_rw_224 - namezh: coatnet_0_rw_224 + - nameen: nf_ecaresnet50 + namezh: nf_ecaresnet50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5400 - datasetA: '69.43' - datasetB: '45.53' - ranking: '45' + download: 3364 + datasetA: '46.78' + datasetB: '52.53' + ranking: '549' - - nameen: coatnet_1_224 - namezh: coatnet_1_224 + - nameen: vgg16 + namezh: vgg16 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9334 - datasetA: '69.42' - datasetB: '21.45' - ranking: '46' + download: 8866 + datasetA: '28.72' + datasetB: '52.53' + ranking: '927' - - nameen: coatnet_1_rw_224 - namezh: coatnet_1_rw_224 + - nameen: vit_large_patch14_clip_quickgelu_336 + namezh: vit_large_patch14_clip_quickgelu_336 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4700 - datasetA: '69.14' - datasetB: '31.82' - ranking: '47' + download: 7317 + datasetA: '25.42' + datasetB: '52.52' + ranking: '996' - - nameen: coatnet_2_224 - namezh: coatnet_2_224 + - nameen: fbnetv3_d + namezh: fbnetv3_d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9574 - datasetA: '69.06' - datasetB: '17.07' - ranking: '48' + download: 1696 + datasetA: '56.83' + datasetB: '52.49' + ranking: '312' - - nameen: coatnet_2_rw_224 - namezh: coatnet_2_rw_224 + - nameen: vit_large_r50_s32_224 + namezh: vit_large_r50_s32_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4984 - datasetA: '69.04' - datasetB: '43.31' - ranking: '49' + download: 5815 + datasetA: '25.07' + datasetB: '52.49' + ranking: '1008' - - nameen: coatnet_3_224 - namezh: coatnet_3_224 + - nameen: resnet50x4_clip + namezh: resnet50x4_clip paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1904 - datasetA: '69.03' - datasetB: '39.8' - ranking: '50' + download: 3458 + datasetA: '38.16' + datasetB: '52.47' + ranking: '710' - - nameen: coatnet_3_rw_224 - namezh: coatnet_3_rw_224 + - nameen: vit_medium_patch32_clip_224 + namezh: vit_medium_patch32_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8116 - datasetA: '69.0' - datasetB: '23.34' - ranking: '51' + download: 6674 + datasetA: '24.47' + datasetB: '52.47' + ranking: '1019' - - nameen: coatnet_4_224 - namezh: coatnet_4_224 + - nameen: volo_d5_512 + namezh: volo_d5_512 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9951 - datasetA: '68.99' - datasetB: '43.39' - ranking: '52' + download: 4290 + datasetA: '21.66' + datasetB: '52.46' + ranking: '1086' - - nameen: coatnet_5_224 - namezh: coatnet_5_224 + - nameen: caformer_s36 + namezh: caformer_s36 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1125 - datasetA: '68.97' - datasetB: '17.23' - ranking: '53' + download: 3180 + datasetA: '70.18' + datasetB: '52.45' + ranking: '25' - - nameen: coatnet_bn_0_rw_224 - namezh: coatnet_bn_0_rw_224 + - nameen: focalnet_huge_fl4 + namezh: focalnet_huge_fl4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3902 - datasetA: '68.96' - datasetB: '45.31' - ranking: '54' + download: 5232 + datasetA: '56.59' + datasetB: '52.41' + ranking: '320' - - nameen: coatnet_nano_cc_224 - namezh: coatnet_nano_cc_224 + - nameen: fastvit_mci0 + namezh: fastvit_mci0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9040 - datasetA: '68.92' - datasetB: '39.59' - ranking: '55' + download: 4519 + datasetA: '57.23' + datasetB: '52.33' + ranking: '301' - - nameen: coatnet_nano_rw_224 - namezh: coatnet_nano_rw_224 + - nameen: resnetblur101d + namezh: resnetblur101d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5824 - datasetA: '68.88' - datasetB: '25.77' - ranking: '56' + download: 8083 + datasetA: '36.96' + datasetB: '52.31' + ranking: '737' - - nameen: coatnet_pico_rw_224 - namezh: coatnet_pico_rw_224 + - nameen: swinv2_cr_giant_224 + namezh: swinv2_cr_giant_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7550 - datasetA: '68.85' - datasetB: '43.16' - ranking: '57' + download: 8876 + datasetA: '32.36' + datasetB: '52.29' + ranking: '843' - - nameen: coatnet_rmlp_0_rw_224 - namezh: coatnet_rmlp_0_rw_224 + - nameen: vit_base_patch16_reg4_gap_256 + namezh: vit_base_patch16_reg4_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3977 - datasetA: '68.76' - datasetB: '48.07' - ranking: '58' + download: 9642 + datasetA: '27.79' + datasetB: '52.29' + ranking: '946' - - nameen: coatnet_rmlp_1_rw2_224 - namezh: coatnet_rmlp_1_rw2_224 + - nameen: repvit_m2 + namezh: repvit_m2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6180 - datasetA: '68.74' - datasetB: '11.6' - ranking: '59' + download: 9968 + datasetA: '40.98' + datasetB: '52.26' + ranking: '666' - - nameen: coatnet_rmlp_1_rw_224 - namezh: coatnet_rmlp_1_rw_224 + - nameen: vit_so400m_patch14_siglip_gap_384 + namezh: vit_so400m_patch14_siglip_gap_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5556 - datasetA: '68.73' - datasetB: '38.14' - ranking: '60' + download: 4731 + datasetA: '23.21' + datasetB: '52.26' + ranking: '1052' - - nameen: coatnet_rmlp_2_rw_224 - namezh: coatnet_rmlp_2_rw_224 + - nameen: regnetz_e8 + namezh: regnetz_e8 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6874 - datasetA: '68.73' - datasetB: '47.99' - ranking: '61' + download: 9116 + datasetA: '42.51' + datasetB: '52.25' + ranking: '641' - - nameen: coatnet_rmlp_2_rw_384 - namezh: coatnet_rmlp_2_rw_384 + - nameen: mvitv2_huge_cls + namezh: mvitv2_huge_cls paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3247 - datasetA: '68.72' - datasetB: '22.47' - ranking: '62' + download: 3503 + datasetA: '47.43' + datasetB: '52.23' + ranking: '532' - - nameen: coatnet_rmlp_3_rw_224 - namezh: coatnet_rmlp_3_rw_224 + - nameen: resnet32ts + namezh: resnet32ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3812 - datasetA: '68.71' - datasetB: '31.15' - ranking: '63' + download: 3210 + datasetA: '39.02' + datasetB: '52.16' + ranking: '697' - - nameen: coatnet_rmlp_nano_rw_224 - namezh: coatnet_rmlp_nano_rw_224 + - nameen: poolformer_s24 + namezh: poolformer_s24 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9122 - datasetA: '68.64' - datasetB: '49.46' - ranking: '64' + download: 1688 + datasetA: '45.54' + datasetB: '52.14' + ranking: '584' - - nameen: coatnext_nano_rw_224 - namezh: coatnext_nano_rw_224 + - nameen: xcit_nano_12_p16_224 + namezh: xcit_nano_12_p16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1861 - datasetA: '68.62' - datasetB: '37.42' - ranking: '65' - - - nameen: convformer_b36 - namezh: convformer_b36 - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 5480 - datasetA: '68.6' - datasetB: '24.59' - ranking: '66' + download: 9224 + datasetA: '20.76' + datasetB: '52.13' + ranking: '1106' - - nameen: convformer_m36 - namezh: convformer_m36 + - nameen: convmixer_1536_20 + namezh: convmixer_1536_20 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2712 - datasetA: '68.56' - datasetB: '53.39' - ranking: '67' + download: 4614 + datasetA: '68.23' + datasetB: '52.09' + ranking: '75' - - nameen: convformer_s18 - namezh: convformer_s18 + - nameen: mobilenetv3_rw + namezh: mobilenetv3_rw paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1315 - datasetA: '68.55' - datasetB: '44.21' - ranking: '68' + download: 4317 + datasetA: '48.41' + datasetB: '52.08' + ranking: '502' - - nameen: convformer_s36 - namezh: convformer_s36 + - nameen: mixnet_xxl + namezh: mixnet_xxl paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5314 - datasetA: '68.43' - datasetB: '30.55' - ranking: '69' + download: 4838 + datasetA: '49.6' + datasetB: '52.06' + ranking: '480' - - nameen: convit_base - namezh: convit_base + - nameen: efficientvit_m0 + namezh: efficientvit_m0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2506 - datasetA: '68.42' - datasetB: '33.46' - ranking: '70' + download: 1646 + datasetA: '58.81' + datasetB: '52.04' + ranking: '269' - - nameen: convit_small - namezh: convit_small + - nameen: vit_small_resnet26d_224 + namezh: vit_small_resnet26d_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8634 - datasetA: '68.4' - datasetB: '48.57' - ranking: '71' + download: 8015 + datasetA: '23.49' + datasetB: '51.99' + ranking: '1045' - - nameen: convit_tiny - namezh: convit_tiny + - nameen: regnetz_c16 + namezh: regnetz_c16 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1261 - datasetA: '68.37' - datasetB: '43.03' - ranking: '72' + download: 4612 + datasetA: '42.86' + datasetB: '51.95' + ranking: '636' - - nameen: convmixer_768_32 - namezh: convmixer_768_32 + - nameen: ConvNeXt-S + ConvStem + namezh: ConvNeXt-S + ConvStem + paper: + text: >- + Revisiting Adversarial Training for ImageNet: Architectures, + Training and Generalization across Threat Models + link: null + download: 6670 + datasetA: '70.86' + datasetB: '51.94' + ranking: '9' + - nameen: mixer_l32_224 + namezh: mixer_l32_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5777 - datasetA: '68.36' - datasetB: '26.35' - ranking: '73' + download: 1218 + datasetA: '50.12' + datasetB: '51.93' + ranking: '473' - - nameen: convmixer_1024_20_ks9_p14 - namezh: convmixer_1024_20_ks9_p14 + - nameen: repvit_m3 + namezh: repvit_m3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5042 - datasetA: '68.32' - datasetB: '18.59' - ranking: '74' + download: 5729 + datasetA: '40.82' + datasetB: '51.93' + ranking: '668' - - nameen: convmixer_1536_20 - namezh: convmixer_1536_20 + - nameen: eca_nfnet_l3 + namezh: eca_nfnet_l3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4614 - datasetA: '68.23' - datasetB: '52.09' - ranking: '75' + download: 7390 + datasetA: '62.25' + datasetB: '51.81' + ranking: '193' - - nameen: convnext_atto - namezh: convnext_atto + - nameen: cs3darknet_m + namezh: cs3darknet_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2263 - datasetA: '68.19' - datasetB: '15.68' - ranking: '76' + download: 1754 + datasetA: '65.97' + datasetB: '51.67' + ranking: '117' - - nameen: convnext_atto_ols - namezh: convnext_atto_ols + - nameen: efficientnet_cc_b1_8e + namezh: efficientnet_cc_b1_8e paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1778 - datasetA: '68.15' - datasetB: '17.65' - ranking: '77' + download: 9551 + datasetA: '60.16' + datasetB: '51.67' + ranking: '240' - - nameen: convnext_base - namezh: convnext_base + - nameen: hgnetv2_b5 + namezh: hgnetv2_b5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8371 - datasetA: '67.94' - datasetB: '22.26' - ranking: '78' + download: 4241 + datasetA: '54.29' + datasetB: '51.59' + ranking: '372' - - nameen: convnext_femto - namezh: convnext_femto + - nameen: resnetblur50d + namezh: resnetblur50d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8793 - datasetA: '67.84' - datasetB: '16.68' - ranking: '79' + download: 1918 + datasetA: '37.11' + datasetB: '51.57' + ranking: '736' - - nameen: convnext_femto_ols - namezh: convnext_femto_ols + - nameen: regnetx_002 + namezh: regnetx_002 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4911 - datasetA: '67.8' - datasetB: '28.55' - ranking: '80' + download: 4310 + datasetA: '44.94' + datasetB: '51.55' + ranking: '600' - - nameen: convnext_large - namezh: convnext_large + - nameen: tf_mobilenetv3_large_075 + namezh: tf_mobilenetv3_large_075 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3415 - datasetA: '67.8' - datasetB: '15.4' - ranking: '81' + download: 7445 + datasetA: '30.17' + datasetB: '51.5' + ranking: '895' - - nameen: convnext_large_mlp - namezh: convnext_large_mlp + - nameen: tnt_s_patch16_224 + namezh: tnt_s_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1842 - datasetA: '67.78' - datasetB: '26.13' - ranking: '82' + download: 4803 + datasetA: '29.42' + datasetB: '51.5' + ranking: '912' - - nameen: convnext_nano - namezh: convnext_nano + - nameen: regnetx_004 + namezh: regnetx_004 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 2924 - datasetA: '67.67' - datasetB: '28.18' - ranking: '86' + download: 4990 + datasetA: '20.68' + datasetB: '51.28' + ranking: '1109' - - nameen: convnext_small - namezh: convnext_small + - nameen: efficientnet_b0_g8_gn + namezh: efficientnet_b0_g8_gn paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4487 - datasetA: '67.64' - datasetB: '37.47' - ranking: '87' + download: 9581 + datasetA: '61.14' + datasetB: '51.25' + ranking: '221' - - nameen: convnext_tiny - namezh: convnext_tiny + - nameen: efficientnet_b4 + namezh: efficientnet_b4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7403 - datasetA: '67.62' - datasetB: '23.07' - ranking: '88' + download: 5331 + datasetA: '60.62' + datasetB: '51.24' + ranking: '232' - - nameen: convnext_tiny_hnf - namezh: convnext_tiny_hnf + - nameen: vit_base_patch16_clip_384 + namezh: vit_base_patch16_clip_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3000 - datasetA: '67.58' - datasetB: '42.73' - ranking: '89' + download: 7052 + datasetA: '28.05' + datasetB: '51.22' + ranking: '942' - - nameen: convnext_xlarge - namezh: convnext_xlarge + - nameen: tf_efficientnet_lite4 + namezh: tf_efficientnet_lite4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9335 - datasetA: '67.52' - datasetB: '31.21' - ranking: '90' + download: 2941 + datasetA: '30.61' + datasetB: '51.09' + ranking: '883' - - nameen: convnext_xxlarge - namezh: convnext_xxlarge + - nameen: seresnext101d_32x8d + namezh: seresnext101d_32x8d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7751 - datasetA: '67.49' - datasetB: '47.94' - ranking: '91' + download: 9324 + datasetA: '33.76' + datasetB: '50.87' + ranking: '817' - - nameen: convnextv2_atto - namezh: convnextv2_atto + - nameen: nextvit_large + namezh: nextvit_large paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1836 - datasetA: '67.34' - datasetB: '27.23' - ranking: '92' + download: 1585 + datasetA: '46.9' + datasetB: '50.85' + ranking: '546' - - nameen: convnextv2_base - namezh: convnextv2_base + - nameen: mobilenetv4_hybrid_medium_075 + namezh: mobilenetv4_hybrid_medium_075 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3867 - datasetA: '67.32' - datasetB: '42.52' - ranking: '93' + download: 8535 + datasetA: '47.92' + datasetB: '50.74' + ranking: '514' - - nameen: convnextv2_femto - namezh: convnextv2_femto + - nameen: maxvit_nano_rw_256 + namezh: maxvit_nano_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6226 - datasetA: '67.31' - datasetB: '39.8' - ranking: '94' + download: 1385 + datasetA: '51.23' + datasetB: '50.73' + ranking: '442' - - nameen: convnextv2_huge - namezh: convnextv2_huge + - nameen: cspresnet50d + namezh: cspresnet50d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6416 - datasetA: '67.3' - datasetB: '28.36' - ranking: '95' + download: 2543 + datasetA: '65.42' + datasetB: '50.72' + ranking: '127' - - nameen: convnextv2_large - namezh: convnextv2_large + - nameen: mixnet_s + namezh: mixnet_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7852 - datasetA: '67.3' - datasetB: '52.67' - ranking: '96' + download: 9455 + datasetA: '49.82' + datasetB: '50.71' + ranking: '478' - - nameen: convnextv2_nano - namezh: convnextv2_nano + - nameen: repghostnet_050 + namezh: repghostnet_050 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1030 - datasetA: '67.26' - datasetB: '43.3' - ranking: '97' + download: 1123 + datasetA: '42.49' + datasetB: '50.69' + ranking: '642' - - nameen: convnextv2_pico - namezh: convnextv2_pico + - nameen: tiny_vit_21m_512 + namezh: tiny_vit_21m_512 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1120 - datasetA: '67.21' - datasetB: '40.58' - ranking: '98' + download: 2850 + datasetA: '29.67' + datasetB: '50.69' + ranking: '905' - - nameen: convnextv2_small - namezh: convnextv2_small + - nameen: vgg11_bn + namezh: vgg11_bn paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4586 - datasetA: '67.14' - datasetB: '21.97' - ranking: '99' + download: 6962 + datasetA: '28.84' + datasetB: '50.66' + ranking: '924' - - nameen: convnextv2_tiny - namezh: convnextv2_tiny + - nameen: maxvit_small_tf_512 + namezh: maxvit_small_tf_512 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4580 - datasetA: '67.13' - datasetB: '42.5' - ranking: '100' + download: 1539 + datasetA: '50.76' + datasetB: '50.65' + ranking: '453' - - nameen: crossvit_9_240 - namezh: crossvit_9_240 + - nameen: vit_betwixt_patch16_reg1_gap_256 + namezh: vit_betwixt_patch16_reg1_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1548 - datasetA: '67.13' - datasetB: '24.76' - ranking: '101' + download: 5361 + datasetA: '26.56' + datasetB: '50.62' + ranking: '972' - - nameen: crossvit_9_dagger_240 - namezh: crossvit_9_dagger_240 + - nameen: twins_svt_large + namezh: twins_svt_large paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9056 - datasetA: '67.06' - datasetB: '47.97' - ranking: '102' + download: 5895 + datasetA: '29.03' + datasetB: '50.47' + ranking: '921' - - nameen: crossvit_15_240 - namezh: crossvit_15_240 + - nameen: vit_base_patch32_224 + namezh: vit_base_patch32_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3104 - datasetA: '67.05' - datasetB: '33.02' - ranking: '103' + download: 3782 + datasetA: '27.09' + datasetB: '50.37' + ranking: '958' - - nameen: crossvit_15_dagger_240 - namezh: crossvit_15_dagger_240 + - nameen: vit_small_patch32_384 + namezh: vit_small_patch32_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4697 - datasetA: '66.98' - datasetB: '44.26' - ranking: '104' + download: 4495 + datasetA: '23.55' + datasetB: '50.24' + ranking: '1042' - - nameen: crossvit_15_dagger_408 - namezh: crossvit_15_dagger_408 + - nameen: hardcorenas_b + namezh: hardcorenas_b paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3192 - datasetA: '66.92' - datasetB: '19.22' - ranking: '105' + download: 5526 + datasetA: '54.72' + datasetB: '50.23' + ranking: '359' - - nameen: crossvit_18_240 - namezh: crossvit_18_240 + - nameen: ConvNeXt-B + ConvStem + namezh: ConvNeXt-B + ConvStem + paper: + text: >- + Revisiting Adversarial Training for ImageNet: Architectures, + Training and Generalization across Threat Models + link: null + download: 5431 + datasetA: '70.99' + datasetB: '50.16' + ranking: '7' + - nameen: efficientnet_b3 + namezh: efficientnet_b3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5388 - datasetA: '66.86' - datasetB: '46.13' - ranking: '106' - - - nameen: crossvit_18_dagger_240 - namezh: crossvit_18_dagger_240 - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 5105 - datasetA: '66.81' - datasetB: '30.17' - ranking: '107' + download: 2692 + datasetA: '60.93' + datasetB: '50.15' + ranking: '228' - - nameen: crossvit_18_dagger_408 - namezh: crossvit_18_dagger_408 + - nameen: swinv2_tiny_window16_256 + namezh: swinv2_tiny_window16_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4904 - datasetA: '66.67' - datasetB: '43.93' - ranking: '108' + download: 4357 + datasetA: '31.49' + datasetB: '50.15' + ranking: '862' - - nameen: crossvit_base_240 - namezh: crossvit_base_240 + - nameen: vit_tiny_r_s16_p8_384 + namezh: vit_tiny_r_s16_p8_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6317 - datasetA: '66.53' - datasetB: '27.93' - ranking: '109' + download: 2579 + datasetA: '22.8' + datasetB: '50.13' + ranking: '1060' - - nameen: crossvit_small_240 - namezh: crossvit_small_240 + - nameen: vit_base_patch32_plus_256 + namezh: vit_base_patch32_plus_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2761 - datasetA: '66.47' - datasetB: '44.91' - ranking: '110' + download: 4083 + datasetA: '26.82' + datasetB: '50.06' + ranking: '965' - - nameen: crossvit_tiny_240 - namezh: crossvit_tiny_240 + - nameen: repvit_m0_9 + namezh: repvit_m0_9 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8287 - datasetA: '66.47' - datasetB: '26.06' - ranking: '111' + download: 1922 + datasetA: '41.46' + datasetB: '50.0' + ranking: '661' - - nameen: cs3darknet_focus_l - namezh: cs3darknet_focus_l + - nameen: efficientvit_m3 + namezh: efficientvit_m3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8180 - datasetA: '66.45' - datasetB: '36.35' - ranking: '112' + download: 2926 + datasetA: '58.64' + datasetB: '49.95' + ranking: '272' - - nameen: cs3darknet_focus_m - namezh: cs3darknet_focus_m + - nameen: inception_next_tiny + namezh: inception_next_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9664 - datasetA: '66.28' - datasetB: '26.17' - ranking: '113' + download: 8429 + datasetA: '53.23' + datasetB: '49.94' + ranking: '393' - - nameen: cs3darknet_focus_s - namezh: cs3darknet_focus_s + - nameen: mvitv2_large + namezh: mvitv2_large paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9302 - datasetA: '66.2' - datasetB: '37.3' - ranking: '114' + download: 5055 + datasetA: '47.38' + datasetB: '49.92' + ranking: '533' - - nameen: cs3darknet_focus_x - namezh: cs3darknet_focus_x + - nameen: pnasnet5large + namezh: pnasnet5large paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9114 - datasetA: '66.11' - datasetB: '24.51' - ranking: '115' + download: 9087 + datasetA: '45.63' + datasetB: '49.89' + ranking: '580' - - nameen: cs3darknet_l - namezh: cs3darknet_l + - nameen: mixnet_xl + namezh: mixnet_xl paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7058 - datasetA: '66.0' - datasetB: '46.83' - ranking: '116' + download: 1240 + datasetA: '49.75' + datasetB: '49.87' + ranking: '479' - - nameen: cs3darknet_m - namezh: cs3darknet_m + - nameen: nf_regnet_b4 + namezh: nf_regnet_b4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1754 - datasetA: '65.97' - datasetB: '51.67' - ranking: '117' + download: 4159 + datasetA: '46.62' + datasetB: '49.85' + ranking: '555' - - nameen: cs3darknet_s - namezh: cs3darknet_s + - nameen: fastvit_t8 + namezh: fastvit_t8 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7192 - datasetA: '65.94' - datasetB: '15.49' - ranking: '118' + download: 6346 + datasetA: '57.02' + datasetB: '49.81' + ranking: '308' - - nameen: cs3darknet_x - namezh: cs3darknet_x + - nameen: pit_xs_distilled_224 + namezh: pit_xs_distilled_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3321 - datasetA: '65.88' - datasetB: '31.92' - ranking: '119' + download: 4329 + datasetA: '45.65' + datasetB: '49.81' + ranking: '579' - - nameen: cs3edgenet_x - namezh: cs3edgenet_x + - nameen: nf_regnet_b5 + namezh: nf_regnet_b5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8691 - datasetA: '65.87' - datasetB: '19.96' - ranking: '120' + download: 7416 + datasetA: '46.62' + datasetB: '49.71' + ranking: '556' - - nameen: cs3se_edgenet_x - namezh: cs3se_edgenet_x + - nameen: vit_large_patch32_384 + namezh: vit_large_patch32_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7957 - datasetA: '65.8' - datasetB: '49.11' - ranking: '121' + download: 5439 + datasetA: '25.08' + datasetB: '49.6' + ranking: '1007' - - nameen: cs3sedarknet_l - namezh: cs3sedarknet_l + - nameen: vit_base_patch32_clip_224 + namezh: vit_base_patch32_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9532 - datasetA: '65.79' - datasetB: '35.28' - ranking: '122' + download: 7544 + datasetA: '26.98' + datasetB: '49.59' + ranking: '960' - - nameen: cs3sedarknet_x - namezh: cs3sedarknet_x + - nameen: vit_base_patch16_siglip_224 + namezh: vit_base_patch16_siglip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4649 - datasetA: '65.71' - datasetB: '28.42' - ranking: '123' + download: 6358 + datasetA: '27.64' + datasetB: '49.58' + ranking: '949' - - nameen: cs3sedarknet_xdw - namezh: cs3sedarknet_xdw + - nameen: coatnet_rmlp_nano_rw_224 + namezh: coatnet_rmlp_nano_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3182 - datasetA: '65.62' - datasetB: '25.1' - ranking: '124' + download: 9122 + datasetA: '68.64' + datasetB: '49.46' + ranking: '64' - - nameen: cspdarknet53 - namezh: cspdarknet53 + - nameen: dla60x + namezh: dla60x paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1096 - datasetA: '65.58' - datasetB: '30.03' - ranking: '125' + download: 2364 + datasetA: '63.44' + datasetB: '49.42' + ranking: '168' - - nameen: cspresnet50 - namezh: cspresnet50 + - nameen: lamhalobotnet50ts_256 + namezh: lamhalobotnet50ts_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1616 - datasetA: '65.57' - datasetB: '17.69' - ranking: '126' + download: 8961 + datasetA: '52.88' + datasetB: '49.36' + ranking: '400' - - nameen: cspresnet50d - namezh: cspresnet50d + - nameen: vit_wee_patch16_reg1_gap_256 + namezh: vit_wee_patch16_reg1_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2543 - datasetA: '65.42' - datasetB: '50.72' - ranking: '127' + download: 8744 + datasetA: '22.77' + datasetB: '49.35' + ranking: '1061' - - nameen: cspresnet50w - namezh: cspresnet50w + - nameen: mobilenetv4_hybrid_large + namezh: mobilenetv4_hybrid_large paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7670 - datasetA: '65.4' - datasetB: '45.47' - ranking: '128' + download: 8495 + datasetA: '48.04' + datasetB: '49.28' + ranking: '511' - - nameen: cspresnext50 - namezh: cspresnext50 + - nameen: eva02_large_patch14_clip_336 + namezh: eva02_large_patch14_clip_336 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7905 - datasetA: '65.39' - datasetB: '18.44' - ranking: '129' + download: 8602 + datasetA: '57.77' + datasetB: '49.21' + ranking: '289' - - nameen: darknet17 - namezh: darknet17 + - nameen: maxvit_base_tf_224 + namezh: maxvit_base_tf_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3625 - datasetA: '65.37' - datasetB: '43.4' - ranking: '130' + download: 3292 + datasetA: '51.46' + datasetB: '49.21' + ranking: '436' - - nameen: darknet21 - namezh: darknet21 + - nameen: cs3se_edgenet_x + namezh: cs3se_edgenet_x paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1252 - datasetA: '65.36' - datasetB: '11.11' - ranking: '131' + download: 7957 + datasetA: '65.8' + datasetB: '49.11' + ranking: '121' - - nameen: darknet53 - namezh: darknet53 + - nameen: hiera_base_plus_224 + namezh: hiera_base_plus_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4074 - datasetA: '65.34' - datasetB: '29.03' - ranking: '132' + download: 3615 + datasetA: '54.18' + datasetB: '49.11' + ranking: '375' - - nameen: darknetaa53 - namezh: darknetaa53 + - nameen: regnetz_b16_evos + namezh: regnetz_b16_evos paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1931 - datasetA: '65.15' - datasetB: '31.59' - ranking: '133' + download: 9793 + datasetA: '42.92' + datasetB: '49.11' + ranking: '635' - - nameen: davit_base - namezh: davit_base + - nameen: vit_base_patch16_xp_224 + namezh: vit_base_patch16_xp_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1908 - datasetA: '65.01' - datasetB: '26.18' - ranking: '134' + download: 7992 + datasetA: '27.17' + datasetB: '49.02' + ranking: '957' - - nameen: davit_giant - namezh: davit_giant + - nameen: eva_large_patch14_196 + namezh: eva_large_patch14_196 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5905 - datasetA: '64.95' - datasetB: '32.87' - ranking: '135' + download: 7787 + datasetA: '57.42' + datasetB: '48.97' + ranking: '298' - - nameen: davit_huge - namezh: davit_huge + - nameen: seresnextaa201d_32x8d + namezh: seresnextaa201d_32x8d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8288 - datasetA: '64.95' - datasetB: '16.26' - ranking: '136' + download: 4869 + datasetA: '33.72' + datasetB: '48.94' + ranking: '819' - - nameen: davit_large - namezh: davit_large + - nameen: nfnet_f3 + namezh: nfnet_f3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6745 - datasetA: '64.77' - datasetB: '26.88' - ranking: '137' + download: 7441 + datasetA: '46.09' + datasetB: '48.93' + ranking: '566' - - nameen: davit_small - namezh: davit_small + - nameen: lcnet_100 + namezh: lcnet_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6753 - datasetA: '64.72' - datasetB: '28.81' - ranking: '138' + download: 2847 + datasetA: '52.73' + datasetB: '48.83' + ranking: '404' - - nameen: davit_tiny - namezh: davit_tiny + - nameen: resnet33ts + namezh: resnet33ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8514 - datasetA: '64.7' - datasetB: '41.96' - ranking: '139' + download: 1690 + datasetA: '39.01' + datasetB: '48.81' + ranking: '698' - - nameen: deit3_base_patch16_224 - namezh: deit3_base_patch16_224 + - nameen: vit_so400m_patch14_siglip_384 + namezh: vit_so400m_patch14_siglip_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5630 - datasetA: '64.69' - datasetB: '27.8' - ranking: '140' + download: 5402 + datasetA: '23.3' + datasetB: '48.79' + ranking: '1050' - - nameen: deit3_base_patch16_384 - namezh: deit3_base_patch16_384 + - nameen: rexnet_150 + namezh: rexnet_150 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1463 - datasetA: '64.67' - datasetB: '33.53' - ranking: '141' + download: 9866 + datasetA: '35.41' + datasetB: '48.78' + ranking: '771' - - nameen: deit3_huge_patch14_224 - namezh: deit3_huge_patch14_224 + - nameen: ConvNeXt-T + ConvStem + namezh: ConvNeXt-T + ConvStem + paper: + text: >- + Revisiting Adversarial Training for ImageNet: Architectures, + Training and Generalization across Threat Models + link: null + download: 6192 + datasetA: '70.75' + datasetB: '48.74' + ranking: '11' + + - nameen: deit_base_patch16_384 + namezh: deit_base_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8284 - datasetA: '64.63' - datasetB: '29.68' - ranking: '142' + download: 2377 + datasetA: '64.31' + datasetB: '48.68' + ranking: '151' - - nameen: deit3_large_patch16_224 - namezh: deit3_large_patch16_224 + - nameen: convit_small + namezh: convit_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7407 - datasetA: '64.55' - datasetB: '21.59' - ranking: '143' + download: 8634 + datasetA: '68.4' + datasetB: '48.57' + ranking: '71' - - nameen: deit3_large_patch16_384 - namezh: deit3_large_patch16_384 + - nameen: mobilenetv2_110d + namezh: mobilenetv2_110d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1739 - datasetA: '64.55' - datasetB: '53.12' - ranking: '144' + download: 3650 + datasetA: '48.64' + datasetB: '48.55' + ranking: '497' - - nameen: deit3_medium_patch16_224 - namezh: deit3_medium_patch16_224 + - nameen: poolformer_m48 + namezh: poolformer_m48 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6216 - datasetA: '64.54' - datasetB: '16.72' - ranking: '145' + download: 1691 + datasetA: '45.57' + datasetB: '48.52' + ranking: '582' - - nameen: deit3_small_patch16_224 - namezh: deit3_small_patch16_224 + - nameen: fastvit_s12 + namezh: fastvit_s12 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7678 - datasetA: '64.53' - datasetB: '21.31' - ranking: '146' + download: 5480 + datasetA: '57.16' + datasetB: '48.48' + ranking: '304' - - nameen: deit3_small_patch16_384 - namezh: deit3_small_patch16_384 + - nameen: eva_giant_patch14_clip_224 + namezh: eva_giant_patch14_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4096 - 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link: 'https://huggingface.co/docs/timm/index' - download: 2861 - datasetA: '64.34' - datasetB: '12.71' - ranking: '150' - - - nameen: deit_base_patch16_384 - namezh: deit_base_patch16_384 + text: >- + A Comprehensive Study on Robustness of Image Classification + Models: Benchmarking and Rethinking + link: null + download: 9006 + datasetA: '71.01' + datasetB: '48.13' + ranking: '6' + - nameen: coatnet_rmlp_0_rw_224 + namezh: coatnet_rmlp_0_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2377 - datasetA: '64.31' - datasetB: '48.68' - ranking: '151' + download: 3977 + datasetA: '68.76' + datasetB: '48.07' + ranking: '58' - - nameen: deit_small_distilled_patch16_224 - namezh: deit_small_distilled_patch16_224 + - nameen: vit_base_patch16_plus_240 + namezh: vit_base_patch16_plus_240 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1616 - datasetA: '64.3' - 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download: 9013 - datasetA: '62.38' - datasetB: '29.81' - ranking: '188' + download: 7058 + datasetA: '66.0' + datasetB: '46.83' + ranking: '116' - - nameen: eca_halonext26ts - namezh: eca_halonext26ts + - nameen: resnet200d + namezh: resnet200d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1845 - datasetA: '62.38' - datasetB: '39.92' - ranking: '189' + download: 5722 + datasetA: '37.4' + datasetB: '46.83' + ranking: '729' - - nameen: eca_nfnet_l0 - namezh: eca_nfnet_l0 + - nameen: mobilenetv2_035 + namezh: mobilenetv2_035 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2399 - datasetA: '62.36' - datasetB: '32.34' - ranking: '190' - - - nameen: eca_nfnet_l1 - namezh: eca_nfnet_l1 + download: 3673 + datasetA: '48.82' + datasetB: '46.82' + ranking: '493' + + - nameen: seresnet269d + namezh: seresnet269d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 7766 - datasetA: '61.65' - datasetB: '22.98' - ranking: '206' + download: 5558 + datasetA: '70.57' + datasetB: '46.24' + ranking: '17' - - nameen: ecaresnext50t_32x4d - namezh: ecaresnext50t_32x4d + - nameen: repvgg_b2 + namezh: repvgg_b2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1113 - datasetA: '61.62' - datasetB: '17.04' - ranking: '207' + download: 1885 + datasetA: '41.78' + datasetB: '46.16' + ranking: '656' - - nameen: edgenext_base - namezh: edgenext_base + - nameen: crossvit_18_240 + namezh: crossvit_18_240 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2225 - datasetA: '61.6' - datasetB: '23.01' - ranking: '208' + download: 5388 + datasetA: '66.86' + datasetB: '46.13' + ranking: '106' - - nameen: edgenext_small - namezh: edgenext_small + - nameen: dla60x_c + namezh: dla60x_c paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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ranking: '212' + download: 2455 + datasetA: '55.71' + datasetB: '46.08' + ranking: '332' - nameen: efficientformer_l1 namezh: efficientformer_l1 @@ -2166,5495 +2049,5471 @@ blocks: datasetB: '46.06' ranking: '213' - - nameen: efficientformer_l3 - namezh: efficientformer_l3 + - nameen: resnest101e + namezh: resnest101e paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8922 - datasetA: '61.34' - datasetB: '36.41' - ranking: '214' + download: 7954 + datasetA: '39.51' + datasetB: '46.06' + ranking: '687' - - nameen: efficientformer_l7 - namezh: efficientformer_l7 + - nameen: tnt_b_patch16_224 + namezh: tnt_b_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2949 - datasetA: '61.34' - datasetB: '30.87' - ranking: '215' + download: 1713 + datasetA: '29.45' + datasetB: '46.02' + ranking: '911' - - nameen: efficientformerv2_l - namezh: efficientformerv2_l + - 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datasetA: '61.14' - datasetB: '51.25' - ranking: '221' + download: 7440 + datasetA: '24.5' + datasetB: '45.73' + ranking: '1018' - - nameen: efficientnet_b0_g16_evos - namezh: efficientnet_b0_g16_evos + - nameen: xcit_small_24_p8_224 + namezh: xcit_small_24_p8_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8257 - datasetA: '61.13' - datasetB: '46.33' - ranking: '222' + download: 4251 + datasetA: '20.59' + datasetB: '45.68' + ranking: '1112' - - nameen: efficientnet_b0_gn - namezh: efficientnet_b0_gn + - nameen: ecaresnet50d + namezh: ecaresnet50d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3561 - datasetA: '61.13' - datasetB: '45.91' - ranking: '223' + download: 9271 + datasetA: '61.96' + datasetB: '45.67' + ranking: '198' - - nameen: efficientnet_b1 - namezh: efficientnet_b1 + - nameen: tf_efficientnetv2_m + namezh: tf_efficientnetv2_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 8512 - datasetA: '60.13' - datasetB: '33.5' - ranking: '242' + download: 2952 + datasetA: '63.16' + datasetB: '45.01' + ranking: '174' - - nameen: efficientnet_em - namezh: efficientnet_em + - nameen: xcit_medium_24_p16_224 + namezh: xcit_medium_24_p16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8708 - datasetA: '60.11' - datasetB: '40.03' - ranking: '243' + download: 1573 + datasetA: '20.83' + datasetB: '44.97' + ranking: '1102' - - nameen: efficientnet_es - namezh: efficientnet_es + - nameen: swinv2_small_window8_256 + namezh: swinv2_small_window8_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5520 - datasetA: '59.96' - datasetB: '28.84' - ranking: '244' + download: 7948 + datasetA: '31.67' + datasetB: '44.93' + ranking: '859' - - nameen: efficientnet_es_pruned - namezh: efficientnet_es_pruned + - nameen: crossvit_small_240 + namezh: crossvit_small_240 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2661 - datasetA: '59.95' - datasetB: '26.1' - ranking: '245' + download: 2761 + datasetA: '66.47' + datasetB: '44.91' + ranking: '110' - - nameen: efficientnet_h_b5 - namezh: efficientnet_h_b5 + - nameen: xcit_nano_12_p8_384 + namezh: xcit_nano_12_p8_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3350 - datasetA: '59.91' - datasetB: '13.91' - ranking: '246' + download: 2618 + datasetA: '20.78' + datasetB: '44.9' + ranking: '1105' - - nameen: efficientnet_l2 - namezh: efficientnet_l2 + - nameen: vit_base_patch32_clip_448 + namezh: vit_base_patch32_clip_448 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7258 - datasetA: '59.83' - datasetB: '47.33' - ranking: '247' + download: 6111 + datasetA: '26.89' + datasetB: '44.88' + ranking: '963' - - nameen: efficientnet_lite0 - namezh: efficientnet_lite0 + - nameen: seresnext50_32x4d + namezh: seresnext50_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2611 - datasetA: '59.78' - datasetB: '29.63' - ranking: '248' + download: 5968 + datasetA: '33.85' + datasetB: '44.78' + ranking: '813' - - nameen: efficientnet_lite1 - namezh: efficientnet_lite1 + - nameen: xcit_small_12_p8_224 + namezh: xcit_small_12_p8_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4244 - datasetA: '59.74' - datasetB: '28.53' - ranking: '249' + download: 7515 + datasetA: '20.69' + datasetB: '44.71' + ranking: '1108' - - nameen: efficientnet_lite2 - namezh: efficientnet_lite2 + - nameen: regnetz_d8_evos + namezh: regnetz_d8_evos paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8781 - datasetA: '59.51' - datasetB: '39.91' - ranking: '250' + download: 2651 + datasetA: '42.63' + datasetB: '44.67' + ranking: '639' - - nameen: efficientnet_lite3 - namezh: efficientnet_lite3 + - nameen: levit_conv_128 + namezh: levit_conv_128 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7950 - datasetA: '59.46' - datasetB: '40.81' - ranking: '251' + download: 2118 + datasetA: '51.8' + datasetB: '44.56' + ranking: '426' - - nameen: efficientnet_lite4 - namezh: efficientnet_lite4 + - nameen: swinv2_cr_tiny_224 + namezh: swinv2_cr_tiny_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3438 - datasetA: '59.45' - datasetB: '30.79' - ranking: '252' + download: 2558 + datasetA: '31.88' + datasetB: '44.56' + ranking: '853' - - nameen: efficientnet_x_b3 - namezh: efficientnet_x_b3 + - nameen: maxvit_tiny_rw_224 + namezh: maxvit_tiny_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3614 - datasetA: '59.37' - datasetB: '41.19' - ranking: '253' + download: 4504 + datasetA: '50.67' + datasetB: '44.54' + ranking: '455' - - nameen: efficientnet_x_b5 - namezh: efficientnet_x_b5 + - nameen: focalnet_tiny_srf + namezh: focalnet_tiny_srf paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8984 - datasetA: '59.31' - datasetB: '43.25' - ranking: '254' + download: 6534 + datasetA: '55.88' + datasetB: '44.53' + ranking: '326' - - nameen: efficientnetv2_l - namezh: efficientnetv2_l + - nameen: resnext50_32x4d + namezh: resnext50_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2618 - datasetA: '59.26' - datasetB: '18.07' - ranking: '255' - - - nameen: efficientnetv2_m - namezh: efficientnetv2_m + download: 9710 + datasetA: '35.8' + datasetB: '44.52' + ranking: '762' + + - nameen: resnet50x16_clip + namezh: resnet50x16_clip paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3004 - datasetA: '59.19' - datasetB: '51.35' - ranking: '256' + download: 2333 + datasetA: '38.15' + datasetB: '44.36' + ranking: '712' - - nameen: efficientnetv2_rw_m - namezh: efficientnetv2_rw_m + - nameen: nest_tiny_jx + namezh: nest_tiny_jx paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8450 - datasetA: '59.18' - datasetB: '32.43' - ranking: '257' + download: 8776 + datasetA: '47.01' + datasetB: '44.31' + ranking: '544' - - nameen: efficientnetv2_rw_s - namezh: efficientnetv2_rw_s + - nameen: crossvit_15_dagger_240 + namezh: crossvit_15_dagger_240 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6527 - datasetA: '59.14' - datasetB: '53.4' - ranking: '258' + download: 4697 + datasetA: '66.98' + datasetB: '44.26' + ranking: '104' - - nameen: efficientnetv2_rw_t - namezh: efficientnetv2_rw_t + - nameen: ghostnet_130 + namezh: ghostnet_130 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5694 - datasetA: '59.1' - datasetB: '18.73' - ranking: '259' + download: 8952 + datasetA: '55.18' + datasetB: '44.25' + ranking: '344' - - nameen: efficientnetv2_s - namezh: efficientnetv2_s + - nameen: convformer_s18 + namezh: convformer_s18 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5941 - datasetA: '59.1' - datasetB: '34.97' - ranking: '260' + download: 1315 + datasetA: '68.55' + datasetB: '44.21' + ranking: '68' - - nameen: efficientnetv2_xl - namezh: efficientnetv2_xl + - nameen: ecaresnet50t + namezh: ecaresnet50t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3743 - datasetA: '59.03' - datasetB: '46.96' - ranking: '261' + download: 5672 + datasetA: '61.93' + datasetB: '44.16' + ranking: '200' - - nameen: efficientvit_b0 - namezh: efficientvit_b0 + - nameen: vit_giant_patch14_reg4_dinov2 + namezh: vit_giant_patch14_reg4_dinov2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7480 - datasetA: '58.99' - datasetB: '11.66' - ranking: '262' + download: 4041 + datasetA: '26.01' + datasetB: '44.16' + ranking: '979' - - nameen: efficientvit_b1 - namezh: efficientvit_b1 + - nameen: vitamin_large_336 + namezh: vitamin_large_336 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5907 - datasetA: '58.98' - datasetB: '11.52' - ranking: '263' + download: 7825 + datasetA: '22.47' + datasetB: '44.14' + ranking: '1070' - - nameen: efficientvit_b2 - namezh: efficientvit_b2 + - nameen: vitamin_large2_256 + namezh: vitamin_large2_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5615 - datasetA: '58.96' - datasetB: '53.16' - ranking: '264' + download: 8485 + datasetA: '22.66' + datasetB: '44.1' + ranking: '1065' - - nameen: efficientvit_b3 - namezh: efficientvit_b3 + - nameen: dm_nfnet_f6 + namezh: dm_nfnet_f6 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7279 - datasetA: '58.86' - datasetB: '40.46' - ranking: '265' + download: 7413 + datasetA: '62.9' + datasetB: '44.07' + ranking: '180' - - nameen: efficientvit_l1 - namezh: efficientvit_l1 + - nameen: resnetv2_101x3_bit + namezh: resnetv2_101x3_bit paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5991 - datasetA: '58.86' - datasetB: '45.33' - ranking: '266' + download: 9600 + datasetA: '36.06' + datasetB: '44.07' + ranking: '756' - - nameen: efficientvit_l2 - namezh: efficientvit_l2 + - nameen: edgenext_small + namezh: edgenext_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5348 - datasetA: '58.85' - datasetB: '17.73' - ranking: '267' + download: 6321 + datasetA: '61.57' + datasetB: '44.05' + ranking: '209' - - nameen: efficientvit_l3 - namezh: efficientvit_l3 + - nameen: crossvit_18_dagger_408 + namezh: crossvit_18_dagger_408 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7262 - datasetA: '58.82' - datasetB: '32.48' - ranking: '268' + download: 4904 + datasetA: '66.67' + datasetB: '43.93' + ranking: '108' - - nameen: efficientvit_m0 - namezh: efficientvit_m0 + - nameen: mobilevit_xs + namezh: mobilevit_xs paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1646 - datasetA: '58.81' - datasetB: '52.04' - ranking: '269' + download: 2012 + datasetA: '47.79' + datasetB: '43.81' + ranking: '521' - - nameen: efficientvit_m1 - namezh: efficientvit_m1 + - nameen: gcvit_small + namezh: gcvit_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6707 - datasetA: '58.77' - datasetB: '42.86' - ranking: '270' + download: 4204 + datasetA: '55.57' + datasetB: '43.7' + ranking: '335' - - nameen: efficientvit_m2 - namezh: efficientvit_m2 + - nameen: vit_large_patch16_siglip_gap_384 + namezh: vit_large_patch16_siglip_gap_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6889 - datasetA: '58.7' - datasetB: '40.78' - ranking: '271' + download: 5054 + datasetA: '25.09' + datasetB: '43.68' + ranking: '1005' - - nameen: efficientvit_m3 - namezh: efficientvit_m3 + - nameen: legacy_seresnet34 + namezh: legacy_seresnet34 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2926 - datasetA: '58.64' - datasetB: '49.95' - ranking: '272' + download: 8864 + datasetA: '52.65' + datasetB: '43.62' + ranking: '408' - - nameen: efficientvit_m4 - namezh: efficientvit_m4 + - nameen: vit_srelpos_small_patch16_224 + namezh: vit_srelpos_small_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1180 - datasetA: '58.5' - datasetB: '52.99' - ranking: '273' + download: 8476 + datasetA: '22.86' + datasetB: '43.62' + ranking: '1056' - - nameen: efficientvit_m5 - namezh: efficientvit_m5 + - nameen: tf_efficientnet_b3 + namezh: tf_efficientnet_b3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4764 - datasetA: '58.44' - datasetB: '13.34' - ranking: '274' + download: 5423 + datasetA: '31.38' + datasetB: '43.57' + ranking: '866' - - nameen: ese_vovnet19b_dw - namezh: ese_vovnet19b_dw + - nameen: swinv2_tiny_window8_256 + namezh: swinv2_tiny_window8_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6265 - datasetA: '58.43' - datasetB: '31.74' - ranking: '275' + download: 6861 + datasetA: '31.52' + datasetB: '43.51' + ranking: '861' - - nameen: ese_vovnet19b_slim - namezh: ese_vovnet19b_slim + - nameen: vitamin_xlarge_336 + namezh: vitamin_xlarge_336 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4218 - datasetA: '58.37' - datasetB: '17.08' - ranking: '276' - - - nameen: ese_vovnet19b_slim_dw - namezh: ese_vovnet19b_slim_dw - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 6685 - datasetA: '58.33' - datasetB: '36.36' - ranking: '277' + download: 7102 + datasetA: '22.19' + datasetB: '43.46' + ranking: '1074' - - nameen: ese_vovnet39b - namezh: ese_vovnet39b + - nameen: res2net50_48w_2s + namezh: res2net50_48w_2s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5184 - datasetA: '58.32' - datasetB: '52.54' - ranking: '278' + download: 7362 + datasetA: '40.41' + datasetB: '43.44' + ranking: '673' - - nameen: ese_vovnet39b_evos - namezh: ese_vovnet39b_evos + - nameen: lambda_resnet26t + namezh: lambda_resnet26t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1008 - datasetA: '58.31' - datasetB: '30.69' - ranking: '279' + download: 6475 + datasetA: '53.01' + datasetB: '43.43' + ranking: '398' - - nameen: ese_vovnet57b - namezh: ese_vovnet57b + - nameen: efficientnet_b3_g8_gn + namezh: efficientnet_b3_g8_gn paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6805 - datasetA: '58.31' - datasetB: '11.66' - ranking: '280' + download: 1987 + datasetA: '60.86' + datasetB: '43.42' + ranking: '229' - - nameen: ese_vovnet99b - namezh: ese_vovnet99b + - nameen: darknet17 + namezh: darknet17 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8378 - datasetA: '58.19' - datasetB: '32.56' - ranking: '281' + download: 3625 + datasetA: '65.37' + datasetB: '43.4' + ranking: '130' - - nameen: eva02_base_patch14_224 - namezh: eva02_base_patch14_224 + - nameen: hrnet_w18_small_v2 + namezh: hrnet_w18_small_v2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6778 - datasetA: '58.12' - datasetB: '39.66' - ranking: '282' + download: 7452 + datasetA: '53.9' + datasetB: '43.4' + ranking: '382' - - nameen: eva02_base_patch14_448 - namezh: eva02_base_patch14_448 + - nameen: coatnet_4_224 + namezh: coatnet_4_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7486 - datasetA: '58.08' - datasetB: '26.0' - ranking: '283' + download: 9951 + datasetA: '68.99' + datasetB: '43.39' + ranking: '52' - - nameen: eva02_base_patch16_clip_224 - namezh: eva02_base_patch16_clip_224 + - nameen: resnetv2_50x1_bit + namezh: resnetv2_50x1_bit paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8490 - datasetA: '58.05' - datasetB: '35.33' - ranking: '284' + download: 4682 + datasetA: '36.27' + datasetB: '43.38' + ranking: '751' - - nameen: eva02_enormous_patch14_clip_224 - namezh: eva02_enormous_patch14_clip_224 + - nameen: efficientformerv2_l + namezh: efficientformerv2_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2678 - datasetA: '58.01' - datasetB: '14.27' - ranking: '285' + download: 9145 + datasetA: '61.32' + datasetB: '43.36' + ranking: '216' - - nameen: eva02_large_patch14_224 - namezh: eva02_large_patch14_224 + - nameen: levit_384 + namezh: levit_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3865 - datasetA: '58.0' - datasetB: '12.38' - ranking: '286' + download: 7264 + datasetA: '52.09' + datasetB: '43.34' + ranking: '421' - - nameen: eva02_large_patch14_448 - namezh: eva02_large_patch14_448 + - nameen: resnet18 + namezh: resnet18 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8819 - datasetA: '57.87' - datasetB: '37.88' - ranking: '287' + download: 5996 + datasetA: '39.4' + datasetB: '43.32' + ranking: '692' - - nameen: eva02_large_patch14_clip_224 - namezh: eva02_large_patch14_clip_224 + - nameen: coatnet_2_rw_224 + namezh: coatnet_2_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1943 - datasetA: '57.8' - datasetB: '41.74' - ranking: '288' + download: 4984 + datasetA: '69.04' + datasetB: '43.31' + ranking: '49' - - nameen: eva02_large_patch14_clip_336 - namezh: eva02_large_patch14_clip_336 + - nameen: convnextv2_nano + namezh: convnextv2_nano paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8602 - datasetA: '57.77' - datasetB: '49.21' - ranking: '289' + download: 1030 + datasetA: '67.26' + datasetB: '43.3' + ranking: '97' - - nameen: eva02_small_patch14_224 - namezh: eva02_small_patch14_224 + - nameen: gernet_s + namezh: gernet_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4915 - datasetA: '57.71' - datasetB: '45.27' - ranking: '290' + download: 2694 + datasetA: '55.31' + datasetB: '43.28' + ranking: '341' - - nameen: eva02_small_patch14_336 - namezh: eva02_small_patch14_336 + - nameen: efficientnet_x_b5 + namezh: efficientnet_x_b5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3951 - datasetA: '57.61' - datasetB: '31.24' - ranking: '291' + download: 8984 + datasetA: '59.31' + datasetB: '43.25' + ranking: '254' - - nameen: eva02_tiny_patch14_224 - namezh: eva02_tiny_patch14_224 + - nameen: maxvit_pico_rw_256 + namezh: maxvit_pico_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5244 - datasetA: '57.61' - datasetB: '32.52' - ranking: '292' + download: 9405 + datasetA: '51.23' + datasetB: '43.21' + ranking: '443' - - nameen: eva02_tiny_patch14_336 - namezh: eva02_tiny_patch14_336 + - nameen: coatnet_pico_rw_224 + namezh: coatnet_pico_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1676 - datasetA: '57.54' - datasetB: '40.16' - ranking: '293' + download: 7550 + datasetA: '68.85' + datasetB: '43.16' + ranking: '57' - - nameen: eva_giant_patch14_224 - namezh: eva_giant_patch14_224 + - nameen: vit_small_patch14_dinov2 + namezh: vit_small_patch14_dinov2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4536 - datasetA: '57.54' - datasetB: '46.28' - ranking: '294' + download: 8752 + datasetA: '23.72' + datasetB: '43.14' + ranking: '1035' - - nameen: eva_giant_patch14_336 - namezh: eva_giant_patch14_336 + - nameen: xcit_tiny_12_p16_384 + namezh: xcit_tiny_12_p16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3882 - datasetA: '57.51' - datasetB: '36.37' - ranking: '295' + download: 2328 + datasetA: '20.32' + datasetB: '43.14' + ranking: '1119' - - nameen: eva_giant_patch14_560 - namezh: eva_giant_patch14_560 + - nameen: ecaresnet50d_pruned + namezh: ecaresnet50d_pruned paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9624 - datasetA: '57.45' - datasetB: '31.44' - ranking: '296' + download: 4659 + datasetA: '61.95' + datasetB: '43.09' + ranking: '199' - - nameen: eva_giant_patch14_clip_224 - namezh: eva_giant_patch14_clip_224 + - nameen: resnet26 + namezh: resnet26 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2816 - datasetA: '57.44' - datasetB: '48.34' - ranking: '297' + download: 1249 + datasetA: '39.23' + datasetB: '43.08' + ranking: '694' - - nameen: eva_large_patch14_196 - namezh: eva_large_patch14_196 + - nameen: regnetz_d8 + namezh: regnetz_d8 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7787 - datasetA: '57.42' - datasetB: '48.97' - ranking: '298' + download: 2801 + datasetA: '42.73' + datasetB: '43.05' + ranking: '638' - - nameen: eva_large_patch14_336 - namezh: eva_large_patch14_336 + - nameen: gcvit_base + namezh: gcvit_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1241 - datasetA: '57.39' - datasetB: '53.54' - ranking: '299' + download: 1737 + datasetA: '55.59' + datasetB: '43.04' + ranking: '334' - - nameen: fastvit_ma36 - namezh: fastvit_ma36 + - nameen: convit_tiny + namezh: convit_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8415 - datasetA: '57.24' - datasetB: '36.21' - ranking: '300' + download: 1261 + datasetA: '68.37' + datasetB: '43.03' + ranking: '72' - - nameen: fastvit_mci0 - namezh: fastvit_mci0 + - nameen: tf_efficientnet_b2 + namezh: tf_efficientnet_b2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4519 - datasetA: '57.23' - datasetB: '52.33' - ranking: '301' + download: 3927 + datasetA: '31.39' + datasetB: '43.02' + ranking: '865' - - nameen: fastvit_mci1 - namezh: fastvit_mci1 + - nameen: resnext101_32x4d + namezh: resnext101_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8658 - datasetA: '57.23' - datasetB: '45.44' - ranking: '302' + download: 9968 + datasetA: '35.65' + datasetB: '42.93' + ranking: '764' - - nameen: fastvit_mci2 - namezh: fastvit_mci2 + - nameen: resnet14t + namezh: resnet14t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5229 - datasetA: '57.18' - datasetB: '22.58' - ranking: '303' + download: 1930 + datasetA: '39.42' + datasetB: '42.9' + ranking: '691' - - nameen: fastvit_s12 - namezh: fastvit_s12 + - nameen: efficientvit_m1 + namezh: efficientvit_m1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5480 - datasetA: '57.16' - datasetB: '48.48' - ranking: '304' + download: 6707 + datasetA: '58.77' + datasetB: '42.86' + ranking: '270' - - nameen: fastvit_sa12 - namezh: fastvit_sa12 + - nameen: gcresnet33ts + namezh: gcresnet33ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4306 - datasetA: '57.03' - datasetB: '12.59' - ranking: '305' + download: 7266 + datasetA: '55.76' + datasetB: '42.84' + ranking: '330' - - nameen: fastvit_sa24 - namezh: fastvit_sa24 + - nameen: vit_base_patch32_clip_384 + namezh: vit_base_patch32_clip_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2057 - datasetA: '57.03' - datasetB: '14.3' - ranking: '306' + download: 9847 + datasetA: '26.95' + datasetB: '42.8' + ranking: '962' - - nameen: fastvit_sa36 - namezh: fastvit_sa36 + - nameen: convnext_tiny_hnf + namezh: convnext_tiny_hnf paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7970 - datasetA: '57.03' - datasetB: '18.62' - ranking: '307' + download: 3000 + datasetA: '67.58' + datasetB: '42.73' + ranking: '89' - - nameen: fastvit_t8 - namezh: fastvit_t8 + - nameen: gernet_m + namezh: gernet_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6346 - datasetA: '57.02' - datasetB: '49.81' - ranking: '308' + download: 2024 + datasetA: '55.38' + datasetB: '42.7' + ranking: '340' - - nameen: fastvit_t12 - namezh: fastvit_t12 + - nameen: vit_huge_patch14_clip_quickgelu_224 + namezh: vit_huge_patch14_clip_quickgelu_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3771 - datasetA: '56.92' - datasetB: '20.6' - ranking: '309' + download: 1992 + datasetA: '25.65' + datasetB: '42.69' + ranking: '987' - - nameen: fbnetc_100 - namezh: fbnetc_100 + - nameen: vit_small_r26_s32_384 + namezh: vit_small_r26_s32_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9458 - datasetA: '56.88' - datasetB: '41.91' - ranking: '310' + download: 1069 + datasetA: '23.49' + datasetB: '42.69' + ranking: '1044' - - nameen: fbnetv3_b - namezh: fbnetv3_b + - nameen: coatnet_0_224 + namezh: coatnet_0_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7767 - datasetA: '56.83' - datasetB: '41.91' - ranking: '311' + download: 4432 + datasetA: '69.43' + datasetB: '42.68' + ranking: '44' - - nameen: fbnetv3_d - namezh: fbnetv3_d + - nameen: hgnet_base + namezh: hgnet_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1696 - datasetA: '56.83' - datasetB: '52.49' - ranking: '312' + download: 8166 + datasetA: '54.57' + datasetB: '42.56' + ranking: '364' - - nameen: fbnetv3_g - namezh: fbnetv3_g + - nameen: resnet152 + namezh: resnet152 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1332 - datasetA: '56.83' - datasetB: '29.5' - ranking: '313' + download: 1476 + datasetA: '37.66' + datasetB: '42.54' + ranking: '724' - - nameen: flexivit_base - namezh: flexivit_base + - nameen: convnextv2_base + namezh: convnextv2_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2049 - datasetA: '56.78' - datasetB: '28.7' - ranking: '314' + download: 3867 + datasetA: '67.32' + datasetB: '42.52' + ranking: '93' - - nameen: flexivit_large - namezh: flexivit_large + - nameen: convnextv2_tiny + namezh: convnextv2_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3600 - datasetA: '56.76' - datasetB: '21.28' - ranking: '315' + download: 4580 + datasetA: '67.13' + datasetB: '42.5' + ranking: '100' - - nameen: flexivit_small - namezh: flexivit_small + - nameen: vitamin_small_224 + namezh: vitamin_small_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5189 - datasetA: '56.76' - datasetB: '32.16' - ranking: '316' + download: 6656 + datasetA: '22.35' + datasetB: '42.23' + ranking: '1072' - - nameen: focalnet_base_lrf - namezh: focalnet_base_lrf + - nameen: regnety_008_tv + namezh: regnety_008_tv paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1299 - datasetA: '56.72' - datasetB: '25.02' - ranking: '317' + download: 2606 + datasetA: '43.78' + datasetB: '42.07' + ranking: '617' - - nameen: focalnet_base_srf - namezh: focalnet_base_srf + - nameen: vit_large_patch16_384 + namezh: vit_large_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2262 - datasetA: '56.64' - datasetB: '33.94' - ranking: '318' + download: 6701 + datasetA: '25.3' + datasetB: '42.05' + ranking: '1001' - - nameen: focalnet_huge_fl3 - namezh: focalnet_huge_fl3 + - nameen: tf_efficientnetv2_b1 + namezh: tf_efficientnetv2_b1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8010 - datasetA: '56.61' - datasetB: '47.74' - ranking: '319' - - - nameen: focalnet_huge_fl4 - namezh: focalnet_huge_fl4 + download: 4485 + datasetA: '30.57' + datasetB: '42.01' + ranking: '885' + + - nameen: resnet51q + namezh: resnet51q paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5232 - datasetA: '56.59' - datasetB: '52.41' - ranking: '320' + download: 1928 + datasetA: '38.05' + datasetB: '41.99' + ranking: '716' - - nameen: focalnet_large_fl3 - namezh: focalnet_large_fl3 + - nameen: davit_tiny + namezh: davit_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9428 - datasetA: '56.57' - datasetB: '29.07' - ranking: '321' + download: 8514 + datasetA: '64.7' + datasetB: '41.96' + ranking: '139' - - nameen: focalnet_large_fl4 - namezh: focalnet_large_fl4 + - nameen: fbnetc_100 + namezh: fbnetc_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3285 - datasetA: '56.56' - datasetB: '25.65' - ranking: '322' + download: 9458 + datasetA: '56.88' + datasetB: '41.91' + ranking: '310' - - nameen: focalnet_small_lrf - namezh: focalnet_small_lrf + - nameen: fbnetv3_b + namezh: fbnetv3_b paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7372 - datasetA: '56.55' - datasetB: '14.27' - ranking: '323' + download: 7767 + datasetA: '56.83' + datasetB: '41.91' + ranking: '311' - - nameen: focalnet_small_srf - namezh: focalnet_small_srf + - nameen: pit_ti_distilled_224 + namezh: pit_ti_distilled_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4818 - datasetA: '56.5' - datasetB: '30.22' - ranking: '324' + download: 9925 + datasetA: '45.72' + datasetB: '41.86' + ranking: '577' - - nameen: focalnet_tiny_lrf - namezh: focalnet_tiny_lrf + - nameen: eva02_large_patch14_clip_224 + namezh: eva02_large_patch14_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9414 - datasetA: '56.32' - datasetB: '19.01' - ranking: '325' + download: 1943 + datasetA: '57.8' + datasetB: '41.74' + ranking: '288' - - nameen: focalnet_tiny_srf - namezh: focalnet_tiny_srf + - nameen: xcit_nano_12_p16_384 + namezh: xcit_nano_12_p16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6534 - datasetA: '55.88' - datasetB: '44.53' - ranking: '326' + download: 6866 + datasetA: '20.7' + datasetB: '41.71' + ranking: '1107' - - nameen: focalnet_xlarge_fl3 - namezh: focalnet_xlarge_fl3 + - nameen: tresnet_m + namezh: tresnet_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6349 - datasetA: '55.85' - datasetB: '24.21' - ranking: '327' + download: 4026 + datasetA: '29.34' + datasetB: '41.69' + ranking: '914' - - nameen: focalnet_xlarge_fl4 - namezh: focalnet_xlarge_fl4 + - nameen: nf_regnet_b0 + namezh: nf_regnet_b0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8750 - datasetA: '55.84' - datasetB: '23.88' - ranking: '328' + download: 6998 + datasetA: '46.78' + datasetB: '41.68' + ranking: '551' - - nameen: gc_efficientnetv2_rw_t - namezh: gc_efficientnetv2_rw_t + - nameen: rexnet_130 + namezh: rexnet_130 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7512 - datasetA: '55.82' - datasetB: '39.14' - ranking: '329' + download: 2939 + datasetA: '35.43' + datasetB: '41.67' + ranking: '770' - - nameen: gcresnet33ts - namezh: gcresnet33ts + - nameen: maxxvit_rmlp_small_rw_256 + namezh: maxxvit_rmlp_small_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7266 - datasetA: '55.76' - datasetB: '42.84' - ranking: '330' + download: 2689 + datasetA: '50.29' + datasetB: '41.57' + ranking: '464' - - nameen: gcresnet50t - namezh: gcresnet50t + - nameen: levit_256 + namezh: levit_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1562 - datasetA: '55.75' - datasetB: '25.14' - ranking: '331' + download: 3761 + datasetA: '52.13' + datasetB: '41.44' + ranking: '419' - - nameen: gcresnext26ts - namezh: gcresnext26ts + - nameen: mobilenet_100 + namezh: mobilenet_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2455 - datasetA: '55.71' - datasetB: '46.08' - ranking: '332' + download: 8510 + datasetA: '49.19' + datasetB: '41.43' + ranking: '486' - - nameen: gcresnext50ts - namezh: gcresnext50ts + - nameen: efficientnet_x_b3 + namezh: efficientnet_x_b3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8785 - datasetA: '55.65' - datasetB: '35.91' - ranking: '333' + download: 3614 + datasetA: '59.37' + datasetB: '41.19' + ranking: '253' - - nameen: gcvit_base - namezh: gcvit_base + - nameen: hrnet_w30 + namezh: hrnet_w30 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1737 - datasetA: '55.59' - datasetB: '43.04' - ranking: '334' + download: 7999 + datasetA: '53.87' + datasetB: '41.16' + ranking: '384' - - nameen: gcvit_small - namezh: gcvit_small + - nameen: tf_efficientnetv2_b0 + namezh: tf_efficientnetv2_b0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4204 - datasetA: '55.57' - datasetB: '43.7' - ranking: '335' + download: 2950 + datasetA: '30.58' + datasetB: '41.1' + ranking: '884' - - nameen: gcvit_tiny - namezh: gcvit_tiny + - nameen: swinv2_cr_base_224 + namezh: swinv2_cr_base_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4031 - datasetA: '55.55' - datasetB: '13.97' - ranking: '336' + download: 3202 + datasetA: '32.46' + datasetB: '41.03' + ranking: '840' - - nameen: gcvit_xtiny - namezh: gcvit_xtiny + - nameen: dm_nfnet_f1 + namezh: dm_nfnet_f1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2850 - datasetA: '55.52' - datasetB: '11.76' - ranking: '337' + download: 3488 + datasetA: '63.06' + datasetB: '41.0' + ranking: '175' - - nameen: gcvit_xxtiny - namezh: gcvit_xxtiny + - nameen: resnext101_64x4d + namezh: resnext101_64x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9635 - datasetA: '55.48' - datasetB: '36.65' - ranking: '338' + download: 5095 + datasetA: '35.5' + datasetB: '40.94' + ranking: '768' - - nameen: gernet_l - namezh: gernet_l + - nameen: volo_d3_448 + namezh: volo_d3_448 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5258 - datasetA: '55.39' - datasetB: '39.13' - ranking: '339' + download: 5361 + datasetA: '21.76' + datasetB: '40.94' + ranking: '1081' - - nameen: gernet_m - namezh: gernet_m + - nameen: densenet161 + namezh: densenet161 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2024 - datasetA: '55.38' - datasetB: '42.7' - ranking: '340' - - - nameen: gernet_s - namezh: gernet_s - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 2694 - datasetA: '55.31' - datasetB: '43.28' - ranking: '341' + download: 5040 + datasetA: '64.12' + datasetB: '40.9' + ranking: '157' - 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download: 9407 - datasetA: '54.81' - datasetB: '31.71' - ranking: '356' + download: 3435 + datasetA: '23.73' + datasetB: '40.42' + ranking: '1034' - - nameen: haloregnetz_b - namezh: haloregnetz_b + - nameen: repvgg_b2g4 + namezh: repvgg_b2g4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5887 - datasetA: '54.79' - datasetB: '46.36' - ranking: '357' + download: 8896 + datasetA: '41.78' + datasetB: '40.38' + ranking: '657' - - nameen: hardcorenas_a - namezh: hardcorenas_a + - nameen: efficientnet_b1 + namezh: efficientnet_b1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2535 - datasetA: '54.73' - datasetB: '11.74' - ranking: '358' + download: 5669 + datasetA: '61.09' + datasetB: '40.36' + ranking: '224' - - nameen: hardcorenas_b - namezh: hardcorenas_b + - nameen: vit_giant_patch14_224 + namezh: vit_giant_patch14_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 5369 - datasetA: '54.55' - datasetB: '34.58' - ranking: '365' + download: 8590 + datasetA: '33.53' + datasetB: '40.13' + ranking: '823' - - nameen: hgnet_tiny - namezh: hgnet_tiny + - nameen: efficientnet_em + namezh: efficientnet_em paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6546 - datasetA: '54.49' - datasetB: '11.85' - ranking: '366' + download: 8708 + datasetA: '60.11' + datasetB: '40.03' + ranking: '243' - - nameen: hgnetv2_b0 - namezh: hgnetv2_b0 + - nameen: vit_relpos_base_patch32_plus_rpn_256 + namezh: vit_relpos_base_patch32_plus_rpn_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8212 - datasetA: '54.48' - datasetB: '40.17' - ranking: '367' + download: 5088 + datasetA: '24.08' + datasetB: '40.0' + ranking: '1028' - - nameen: hgnetv2_b1 - namezh: hgnetv2_b1 + - nameen: xcit_small_24_p8_384 + namezh: xcit_small_24_p8_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9670 - datasetA: '54.42' - datasetB: '22.39' - ranking: '368' + download: 5189 + datasetA: '20.53' + datasetB: '39.98' + ranking: '1113' - - nameen: hgnetv2_b2 - namezh: hgnetv2_b2 + - nameen: swinv2_cr_huge_224 + namezh: swinv2_cr_huge_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7042 - datasetA: '54.37' - datasetB: '53.49' - ranking: '369' + download: 2747 + datasetA: '32.27' + datasetB: '39.97' + ranking: '845' - - nameen: hgnetv2_b3 - namezh: hgnetv2_b3 + - nameen: vit_large_patch14_224 + namezh: vit_large_patch14_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3848 - datasetA: '54.33' - datasetB: '13.15' - ranking: '370' + download: 3587 + datasetA: '25.47' + datasetB: '39.94' + ranking: '992' - - nameen: hgnetv2_b4 - namezh: hgnetv2_b4 + - nameen: eca_halonext26ts + namezh: eca_halonext26ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3639 - datasetA: '54.3' - datasetB: '13.35' - ranking: '371' + download: 1845 + datasetA: '62.38' + datasetB: '39.92' + ranking: '189' - - nameen: hgnetv2_b5 - namezh: hgnetv2_b5 + - nameen: efficientnet_lite2 + namezh: efficientnet_lite2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4241 - datasetA: '54.29' - datasetB: '51.59' - ranking: '372' + download: 8781 + datasetA: '59.51' + datasetB: '39.91' + ranking: '250' - - nameen: hgnetv2_b6 - namezh: hgnetv2_b6 + - nameen: skresnext50_32x4d + namezh: skresnext50_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2363 - datasetA: '54.29' - datasetB: '18.55' - ranking: '373' + download: 4920 + datasetA: '33.39' + datasetB: '39.81' + ranking: '824' - - nameen: hiera_base_224 - namezh: hiera_base_224 + - nameen: coatnet_3_224 + namezh: coatnet_3_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 8582 - datasetA: '54.16' - datasetB: '25.19' - ranking: '377' + download: 7661 + datasetA: '54.09' + datasetB: '39.7' + ranking: '380' - - nameen: hiera_small_224 - namezh: hiera_small_224 + - nameen: eva02_base_patch14_224 + namezh: eva02_base_patch14_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2267 - datasetA: '54.16' - datasetB: '38.6' - ranking: '378' + download: 6778 + datasetA: '58.12' + datasetB: '39.66' + ranking: '282' - - nameen: hiera_tiny_224 - namezh: hiera_tiny_224 + - nameen: tf_efficientnet_b4 + namezh: tf_efficientnet_b4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4756 - datasetA: '54.15' - datasetB: '35.31' - ranking: '379' + download: 3573 + datasetA: '31.32' + datasetB: '39.6' + ranking: '867' - - nameen: hrnet_w18 - namezh: hrnet_w18 + - nameen: coatnet_nano_cc_224 + namezh: coatnet_nano_cc_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 5635 - datasetA: '53.89' - datasetB: '53.83' - ranking: '383' - - - nameen: hrnet_w30 - namezh: hrnet_w30 + download: 2967 + datasetA: '69.66' + datasetB: '39.33' + ranking: '36' + + - nameen: nf_resnet26 + namezh: nf_resnet26 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7999 - datasetA: '53.87' - datasetB: '41.16' - ranking: '384' + download: 7539 + datasetA: '46.57' + datasetB: '39.22' + ranking: '557' - - nameen: hrnet_w32 - namezh: hrnet_w32 + - nameen: gc_efficientnetv2_rw_t + namezh: gc_efficientnetv2_rw_t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7389 - datasetA: '53.81' - datasetB: '24.89' - ranking: '385' + download: 7512 + datasetA: '55.82' + datasetB: '39.14' + ranking: '329' - - nameen: hrnet_w40 - namezh: hrnet_w40 + - nameen: gernet_l + namezh: gernet_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1164 - datasetA: '53.78' - datasetB: '36.26' - ranking: '386' + download: 5258 + datasetA: '55.39' + datasetB: '39.13' + ranking: '339' - - nameen: hrnet_w44 - namezh: hrnet_w44 + - nameen: mobilenetv4_conv_blur_medium + namezh: mobilenetv4_conv_blur_medium paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7862 - datasetA: '53.52' - datasetB: '34.8' - ranking: '387' + download: 4023 + datasetA: '48.15' + datasetB: '39.05' + ranking: '507' - - nameen: hrnet_w48 - namezh: hrnet_w48 + - nameen: res2net50_26w_6s + namezh: res2net50_26w_6s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6881 - datasetA: '53.5' - datasetB: '51.28' - ranking: '388' + download: 1080 + datasetA: '40.64' + datasetB: '39.05' + ranking: '671' - - nameen: hrnet_w48_ssld - namezh: hrnet_w48_ssld + - nameen: tf_efficientnet_b0 + namezh: tf_efficientnet_b0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7917 - datasetA: '53.47' - datasetB: '17.45' - ranking: '389' + download: 1208 + datasetA: '31.44' + datasetB: '39.05' + ranking: '863' - - nameen: hrnet_w64 - namezh: hrnet_w64 + - nameen: semnasnet_140 + namezh: semnasnet_140 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8471 - datasetA: '53.39' - datasetB: '31.04' - ranking: '390' + download: 5872 + datasetA: '34.42' + datasetB: '39.0' + ranking: '794' - - nameen: inception_next_base - namezh: inception_next_base + - nameen: vit_base_patch32_clip_quickgelu_224 + namezh: vit_base_patch32_clip_quickgelu_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3443 - datasetA: '53.31' - datasetB: '11.63' - ranking: '391' + download: 6229 + datasetA: '26.82' + datasetB: '38.93' + ranking: '964' - - nameen: inception_next_small - namezh: inception_next_small + - nameen: vit_base_patch16_clip_224 + namezh: vit_base_patch16_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4472 - datasetA: '53.27' - datasetB: '46.56' - ranking: '392' + download: 8491 + datasetA: '28.07' + datasetB: '38.82' + ranking: '941' - - nameen: inception_next_tiny - namezh: inception_next_tiny + - nameen: repvgg_a1 + namezh: repvgg_a1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8429 - datasetA: '53.23' - datasetB: '49.94' - ranking: '393' + download: 4769 + datasetA: '42.04' + datasetB: '38.71' + ranking: '651' - - nameen: inception_resnet_v2 - namezh: inception_resnet_v2 + - nameen: maxvit_tiny_tf_512 + namezh: maxvit_tiny_tf_512 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2390 - datasetA: '53.15' - datasetB: '28.3' - ranking: '394' + download: 6007 + datasetA: '50.38' + datasetB: '38.7' + ranking: '459' - - nameen: inception_v3 - namezh: inception_v3 + - nameen: caformer_b36 + namezh: caformer_b36 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 6475 - datasetA: '53.01' - datasetB: '43.43' - ranking: '398' + download: 1922 + datasetA: '52.22' + datasetB: '38.38' + ranking: '417' - - nameen: lambda_resnet50ts - namezh: lambda_resnet50ts + - nameen: vit_so400m_patch14_siglip_gap_224 + namezh: vit_so400m_patch14_siglip_gap_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4947 - datasetA: '52.96' - datasetB: '36.38' - ranking: '399' + download: 3117 + datasetA: '23.29' + datasetB: '38.33' + ranking: '1051' - - nameen: lamhalobotnet50ts_256 - namezh: lamhalobotnet50ts_256 + - nameen: maxxvitv2_rmlp_large_rw_224 + namezh: maxxvitv2_rmlp_large_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8961 - datasetA: '52.88' - datasetB: '49.36' - ranking: '400' + download: 3832 + datasetA: '50.22' + datasetB: '38.31' + ranking: '469' - - nameen: lcnet_035 - namezh: lcnet_035 + - nameen: xception65 + namezh: xception65 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8948 - datasetA: '52.87' - datasetB: '53.42' - ranking: '401' + download: 4177 + datasetA: '21.45' + datasetB: '38.29' + ranking: '1093' - - nameen: lcnet_050 - namezh: lcnet_050 + - nameen: resnet152c + namezh: resnet152c paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1131 - datasetA: '52.83' - datasetB: '53.4' - ranking: '402' + download: 5094 + datasetA: '37.63' + datasetB: '38.16' + ranking: '725' - - nameen: lcnet_075 - namezh: lcnet_075 + - nameen: coatnet_rmlp_1_rw_224 + namezh: coatnet_rmlp_1_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5841 - datasetA: '52.8' - datasetB: '32.11' - ranking: '403' + download: 5556 + datasetA: '68.73' + datasetB: '38.14' + ranking: '60' - - nameen: lcnet_100 - namezh: lcnet_100 + - nameen: tresnet_xl + namezh: tresnet_xl paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2847 - datasetA: '52.73' - datasetB: '48.83' - ranking: '404' - - - nameen: lcnet_150 - namezh: lcnet_150 - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 9636 - datasetA: '52.73' - datasetB: '34.75' - ranking: '405' + download: 8069 + datasetA: '29.22' + datasetB: '38.12' + ranking: '916' - - nameen: legacy_senet154 - namezh: legacy_senet154 + - nameen: cait_xxs36_384 + namezh: cait_xxs36_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2238 - datasetA: '52.72' - datasetB: '47.15' - ranking: '406' + download: 8555 + datasetA: '69.81' + datasetB: '38.1' + ranking: '35' - - nameen: legacy_seresnet18 - namezh: legacy_seresnet18 + - nameen: vit_relpos_small_patch16_rpn_224 + namezh: vit_relpos_small_patch16_rpn_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4398 - datasetA: '52.71' - datasetB: '22.79' - ranking: '407' + download: 1106 + datasetA: '23.76' + datasetB: '38.02' + ranking: '1033' - - nameen: legacy_seresnet34 - namezh: legacy_seresnet34 + - nameen: rexnet_100 + namezh: rexnet_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8864 - datasetA: '52.65' - datasetB: '43.62' - ranking: '408' + download: 6567 + datasetA: '35.49' + datasetB: '37.92' + ranking: '769' - - nameen: legacy_seresnet50 - namezh: legacy_seresnet50 + - nameen: eva02_large_patch14_448 + namezh: eva02_large_patch14_448 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6311 - datasetA: '52.52' - datasetB: '40.13' - ranking: '409' + download: 8819 + datasetA: '57.87' + datasetB: '37.88' + ranking: '287' - - nameen: legacy_seresnet101 - namezh: legacy_seresnet101 + - nameen: resnext101_32x8d + namezh: resnext101_32x8d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9156 - datasetA: '52.52' - datasetB: '25.5' - ranking: '410' + download: 3799 + datasetA: '35.63' + datasetB: '37.82' + ranking: '765' - - nameen: legacy_seresnet152 - namezh: legacy_seresnet152 + - nameen: tf_efficientnet_cc_b0_8e + namezh: tf_efficientnet_cc_b0_8e paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1015 - datasetA: '52.44' - datasetB: '21.14' - ranking: '411' + download: 2047 + datasetA: '31.04' + datasetB: '37.67' + ranking: '873' - - nameen: legacy_seresnext26_32x4d - namezh: legacy_seresnext26_32x4d + - nameen: xcit_medium_24_p16_384 + namezh: xcit_medium_24_p16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6896 - datasetA: '52.43' - datasetB: '17.66' - ranking: '412' + download: 3839 + datasetA: '20.82' + datasetB: '37.54' + ranking: '1103' - - nameen: legacy_seresnext50_32x4d - namezh: legacy_seresnext50_32x4d + - nameen: mixer_b32_224 + namezh: mixer_b32_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4511 - datasetA: '52.39' - datasetB: '26.24' - ranking: '413' + download: 6122 + datasetA: '50.18' + datasetB: '37.53' + ranking: '471' - - nameen: legacy_seresnext101_32x4d - namezh: legacy_seresnext101_32x4d + - nameen: regnetz_b16 + namezh: regnetz_b16 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8382 - datasetA: '52.3' - datasetB: '35.17' - ranking: '414' + download: 7078 + datasetA: '43.02' + datasetB: '37.5' + ranking: '634' - - nameen: legacy_xception - namezh: legacy_xception + - nameen: convnext_small + namezh: convnext_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2727 - datasetA: '52.28' - datasetB: '23.72' - ranking: '415' + download: 4487 + datasetA: '67.64' + datasetB: '37.47' + ranking: '87' - - nameen: levit_128 - namezh: levit_128 + - nameen: nest_base + namezh: nest_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4163 - datasetA: '52.27' - datasetB: '13.22' - ranking: '416' + download: 7877 + datasetA: '47.16' + datasetB: '37.47' + ranking: '539' - - nameen: levit_128s - namezh: levit_128s + - nameen: coatnext_nano_rw_224 + namezh: coatnext_nano_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1922 - datasetA: '52.22' - datasetB: '38.38' - ranking: '417' + download: 1861 + datasetA: '68.62' + datasetB: '37.42' + ranking: '65' - - nameen: levit_192 - namezh: levit_192 + - nameen: efficientformerv2_s2 + namezh: efficientformerv2_s2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5713 - datasetA: '52.15' - datasetB: '15.84' - ranking: '418' + download: 3137 + datasetA: '61.23' + datasetB: '37.36' + ranking: '219' - - nameen: levit_256 - namezh: levit_256 + - nameen: vit_small_patch32_224 + namezh: vit_small_patch32_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3761 - datasetA: '52.13' - datasetB: '41.44' - ranking: '419' + download: 7722 + datasetA: '23.57' + datasetB: '37.32' + ranking: '1041' - - nameen: levit_256d - namezh: levit_256d + - nameen: cs3darknet_focus_s + namezh: cs3darknet_focus_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3262 - datasetA: '52.12' - datasetB: '13.29' - ranking: '420' + download: 9302 + datasetA: '66.2' + datasetB: '37.3' + ranking: '114' - - nameen: levit_384 - namezh: levit_384 + - nameen: nf_seresnet50 + namezh: nf_seresnet50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7264 - datasetA: '52.09' - datasetB: '43.34' - ranking: '421' + download: 2153 + datasetA: '46.37' + datasetB: '37.26' + ranking: '561' - - nameen: levit_384_s8 - namezh: levit_384_s8 + - nameen: swinv2_base_window12_192 + namezh: swinv2_base_window12_192 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6166 - datasetA: '52.03' - datasetB: '10.04' - ranking: '422' + download: 5208 + datasetA: '32.66' + datasetB: '37.24' + ranking: '836' - - nameen: levit_512 - namezh: levit_512 + - nameen: maxvit_xlarge_tf_224 + namezh: maxvit_xlarge_tf_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6435 - datasetA: '51.91' - datasetB: '32.66' - ranking: '423' + download: 4122 + datasetA: '50.36' + datasetB: '37.14' + ranking: '460' - - nameen: levit_512_s8 - namezh: levit_512_s8 + - nameen: regnetz_040 + namezh: regnetz_040 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2170 - datasetA: '51.83' - datasetB: '28.02' - ranking: '424' + download: 1735 + datasetA: '43.08' + datasetB: '36.91' + ranking: '632' - - nameen: levit_512d - namezh: levit_512d + - nameen: beit_base_patch16_224 + namezh: beit_base_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2591 - datasetA: '51.81' - datasetB: '24.07' - ranking: '425' + download: 8472 + datasetA: '70.71' + datasetB: '36.88' + ranking: '13' - - nameen: levit_conv_128 - namezh: levit_conv_128 + - nameen: seresnet200d + namezh: seresnet200d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2118 - datasetA: '51.8' - datasetB: '44.56' - ranking: '426' + download: 1970 + datasetA: '34.04' + datasetB: '36.87' + ranking: '807' - - nameen: levit_conv_128s - namezh: levit_conv_128s + - nameen: vit_base_patch16_siglip_256 + namezh: vit_base_patch16_siglip_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6540 - datasetA: '51.76' - datasetB: '19.11' - ranking: '427' + download: 5946 + datasetA: '27.62' + datasetB: '36.86' + ranking: '950' - - nameen: levit_conv_192 - namezh: levit_conv_192 + - nameen: seresnet50 + namezh: seresnet50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1097 - datasetA: '51.74' - datasetB: '45.49' - ranking: '428' + download: 5446 + datasetA: '34.08' + datasetB: '36.85' + ranking: '802' - - nameen: levit_conv_256 - namezh: levit_conv_256 + - nameen: regnety_640 + namezh: regnety_640 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5063 - datasetA: '51.72' - datasetB: '27.35' - ranking: '429' + download: 9502 + datasetA: '43.26' + datasetB: '36.82' + ranking: '628' - - nameen: levit_conv_256d - namezh: levit_conv_256d + - nameen: xcit_large_24_p8_224 + namezh: xcit_large_24_p8_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9168 - datasetA: '51.7' - datasetB: '15.14' - ranking: '430' + download: 2697 + datasetA: '21.19' + datasetB: '36.82' + ranking: '1096' - - nameen: levit_conv_384 - namezh: levit_conv_384 + - nameen: resnet50c + namezh: resnet50c paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2384 - datasetA: '51.66' - datasetB: '21.11' - ranking: '431' + download: 2172 + datasetA: '38.28' + datasetB: '36.78' + ranking: '706' - - nameen: levit_conv_384_s8 - namezh: levit_conv_384_s8 + - nameen: twins_svt_base + namezh: twins_svt_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3486 - datasetA: '51.65' - datasetB: '21.88' - ranking: '432' + download: 4548 + datasetA: '29.05' + datasetB: '36.71' + ranking: '920' - - nameen: levit_conv_512 - namezh: levit_conv_512 + - nameen: gcvit_xxtiny + namezh: gcvit_xxtiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2229 - datasetA: '51.64' - datasetB: '18.7' - ranking: '433' + download: 9635 + datasetA: '55.48' + datasetB: '36.65' + ranking: '338' - - nameen: levit_conv_512_s8 - namezh: levit_conv_512_s8 + - nameen: resnetrs420 + namezh: resnetrs420 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6790 - datasetA: '51.62' - datasetB: '14.01' - ranking: '434' + download: 7573 + datasetA: '36.6' + datasetB: '36.61' + ranking: '744' - - nameen: levit_conv_512d - namezh: levit_conv_512d + - nameen: deit_base_distilled_patch16_384 + namezh: deit_base_distilled_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6666 - datasetA: '51.58' - datasetB: '53.43' - ranking: '435' + download: 4102 + datasetA: '64.34' + datasetB: '36.57' + ranking: '149' - - nameen: maxvit_base_tf_224 - namezh: maxvit_base_tf_224 + - nameen: xcit_large_24_p16_224 + namezh: xcit_large_24_p16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3292 - datasetA: '51.46' - datasetB: '49.21' - ranking: '436' + download: 4676 + datasetA: '21.12' + datasetB: '36.44' + ranking: '1098' - - nameen: maxvit_base_tf_384 - namezh: maxvit_base_tf_384 + - nameen: efficientformer_l3 + namezh: efficientformer_l3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6508 - datasetA: '51.38' - datasetB: '26.53' - ranking: '437' + download: 8922 + datasetA: '61.34' + datasetB: '36.41' + ranking: '214' - - nameen: maxvit_base_tf_512 - namezh: maxvit_base_tf_512 + - nameen: tf_efficientnet_b7 + namezh: tf_efficientnet_b7 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2573 - datasetA: '51.34' - datasetB: '14.61' - ranking: '438' + download: 7402 + datasetA: '31.2' + datasetB: '36.4' + ranking: '870' - - nameen: maxvit_large_tf_224 - namezh: maxvit_large_tf_224 + - nameen: vit_gigantic_patch14_224 + namezh: vit_gigantic_patch14_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2043 - datasetA: '51.27' - datasetB: '18.31' - ranking: '439' + download: 8573 + datasetA: '25.89' + datasetB: '36.4' + ranking: '981' - - nameen: maxvit_large_tf_384 - namezh: maxvit_large_tf_384 + - nameen: lambda_resnet50ts + namezh: lambda_resnet50ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4921 - datasetA: '51.24' - datasetB: '24.72' - ranking: '440' + download: 4947 + datasetA: '52.96' + datasetB: '36.38' + ranking: '399' - - nameen: maxvit_large_tf_512 - namezh: maxvit_large_tf_512 + - nameen: eva_giant_patch14_336 + namezh: eva_giant_patch14_336 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3635 - datasetA: '51.23' - datasetB: '30.24' - ranking: '441' + download: 3882 + datasetA: '57.51' + datasetB: '36.37' + ranking: '295' - - nameen: maxvit_nano_rw_256 - namezh: maxvit_nano_rw_256 + - nameen: ese_vovnet19b_slim_dw + namezh: ese_vovnet19b_slim_dw paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1385 - datasetA: '51.23' - datasetB: '50.73' - ranking: '442' + download: 6685 + datasetA: '58.33' + datasetB: '36.36' + ranking: '277' - - nameen: maxvit_pico_rw_256 - namezh: maxvit_pico_rw_256 + - nameen: nf_regnet_b3 + namezh: nf_regnet_b3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9405 - datasetA: '51.23' - datasetB: '43.21' - ranking: '443' + download: 4331 + datasetA: '46.64' + datasetB: '36.36' + ranking: '554' - - nameen: maxvit_rmlp_base_rw_224 - namezh: maxvit_rmlp_base_rw_224 + - nameen: cs3darknet_focus_l + namezh: cs3darknet_focus_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2065 - datasetA: '51.18' - datasetB: '20.82' - ranking: '444' + download: 8180 + datasetA: '66.45' + datasetB: '36.35' + ranking: '112' - - nameen: maxvit_rmlp_base_rw_384 - namezh: maxvit_rmlp_base_rw_384 + - nameen: xcit_tiny_12_p16_224 + namezh: xcit_tiny_12_p16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9930 - datasetA: '51.17' - datasetB: '17.79' - ranking: '445' + download: 7477 + datasetA: '20.32' + datasetB: '36.33' + ranking: '1118' - - nameen: maxvit_rmlp_nano_rw_256 - namezh: maxvit_rmlp_nano_rw_256 + - nameen: ghostnetv2_130 + namezh: ghostnetv2_130 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8372 - datasetA: '51.16' - datasetB: '25.02' - ranking: '446' + download: 4067 + datasetA: '55.15' + datasetB: '36.31' + ranking: '346' - - nameen: maxvit_rmlp_pico_rw_256 - namezh: maxvit_rmlp_pico_rw_256 + - nameen: hrnet_w40 + namezh: hrnet_w40 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2735 - datasetA: '51.1' - datasetB: '32.17' - ranking: '447' - - - nameen: maxvit_rmlp_small_rw_224 - namezh: maxvit_rmlp_small_rw_224 - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 7878 - datasetA: '51.01' - datasetB: '14.63' - ranking: '448' + download: 1164 + datasetA: '53.78' + datasetB: '36.26' + ranking: '386' - - nameen: maxvit_rmlp_small_rw_256 - namezh: maxvit_rmlp_small_rw_256 + - nameen: mobilenet_125 + namezh: mobilenet_125 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7023 - datasetA: '50.99' - datasetB: '40.53' - ranking: '449' + download: 2798 + datasetA: '49.16' + datasetB: '36.22' + ranking: '487' - - nameen: maxvit_rmlp_tiny_rw_256 - namezh: maxvit_rmlp_tiny_rw_256 + - nameen: fastvit_ma36 + namezh: fastvit_ma36 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5659 - datasetA: '50.91' - datasetB: '15.49' - ranking: '450' + download: 8415 + datasetA: '57.24' + datasetB: '36.21' + ranking: '300' - - nameen: maxvit_small_tf_224 - namezh: maxvit_small_tf_224 + - nameen: efficientnet_b0 + namezh: efficientnet_b0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6754 - datasetA: '50.9' - datasetB: '28.94' - ranking: '451' + download: 2849 + datasetA: '61.19' + datasetB: '36.18' + ranking: '220' - - nameen: maxvit_small_tf_384 - namezh: maxvit_small_tf_384 + - nameen: resnetrs200 + namezh: resnetrs200 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2148 - datasetA: '50.77' - datasetB: '30.6' - ranking: '452' + download: 5457 + datasetA: '36.66' + datasetB: '36.18' + ranking: '741' - - nameen: maxvit_small_tf_512 - namezh: maxvit_small_tf_512 + - nameen: repvgg_d2se + namezh: repvgg_d2se paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1539 - datasetA: '50.76' - datasetB: '50.65' - ranking: '453' + download: 1806 + datasetA: '41.48' + datasetB: '36.13' + ranking: '660' - - nameen: maxvit_tiny_pm_256 - namezh: maxvit_tiny_pm_256 + - nameen: deit3_small_patch16_384 + namezh: deit3_small_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4144 - datasetA: '50.69' - datasetB: '45.87' - ranking: '454' + download: 4096 + datasetA: '64.44' + datasetB: '36.12' + ranking: '147' - - nameen: maxvit_tiny_rw_224 - namezh: maxvit_tiny_rw_224 + - nameen: mvitv2_small + namezh: mvitv2_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4504 - datasetA: '50.67' - datasetB: '44.54' - ranking: '455' + download: 1139 + datasetA: '47.31' + datasetB: '36.09' + ranking: '535' - - nameen: maxvit_tiny_rw_256 - namezh: maxvit_tiny_rw_256 + - nameen: vit_base_r50_s16_384 + namezh: vit_base_r50_s16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7750 - datasetA: '50.62' - datasetB: '12.83' - ranking: '456' + download: 6104 + datasetA: '26.72' + datasetB: '36.03' + ranking: '968' - - nameen: maxvit_tiny_tf_224 - namezh: maxvit_tiny_tf_224 + - nameen: vit_betwixt_patch16_gap_256 + namezh: vit_betwixt_patch16_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1678 - datasetA: '50.46' - datasetB: '13.27' - ranking: '457' + download: 5527 + datasetA: '26.56' + datasetB: '35.97' + ranking: '971' - - nameen: maxvit_tiny_tf_384 - namezh: maxvit_tiny_tf_384 + - nameen: resnetblur50 + namezh: resnetblur50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6239 - datasetA: '50.38' - datasetB: '32.5' - ranking: '458' + download: 4603 + datasetA: '37.18' + datasetB: '35.92' + ranking: '735' - - nameen: maxvit_tiny_tf_512 - namezh: maxvit_tiny_tf_512 + - nameen: gcresnext50ts + namezh: gcresnext50ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6007 - datasetA: '50.38' - datasetB: '38.7' - ranking: '459' + download: 8785 + datasetA: '55.65' + datasetB: '35.91' + ranking: '333' - - nameen: maxvit_xlarge_tf_224 - namezh: maxvit_xlarge_tf_224 + - nameen: xcit_large_24_p8_384 + namezh: xcit_large_24_p8_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4122 - datasetA: '50.36' - datasetB: '37.14' - ranking: '460' + download: 8468 + datasetA: '21.14' + datasetB: '35.88' + ranking: '1097' - - nameen: maxvit_xlarge_tf_384 - namezh: maxvit_xlarge_tf_384 + - nameen: mobilenetv4_hybrid_medium + namezh: mobilenetv4_hybrid_medium paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3540 - datasetA: '50.34' - datasetB: '17.15' - ranking: '461' + download: 6638 + datasetA: '47.97' + datasetB: '35.82' + ranking: '513' - - nameen: maxvit_xlarge_tf_512 - namezh: maxvit_xlarge_tf_512 + - nameen: cait_xxs24_224 + namezh: cait_xxs24_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7446 - datasetA: '50.32' - datasetB: '18.4' - ranking: '462' + download: 8597 + datasetA: '69.91' + datasetB: '35.79' + ranking: '32' - - nameen: maxxvit_rmlp_nano_rw_256 - namezh: maxxvit_rmlp_nano_rw_256 + - nameen: resnetrs101 + namezh: resnetrs101 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5541 - datasetA: '50.31' - datasetB: '17.0' - ranking: '463' + download: 3989 + datasetA: '36.9' + datasetB: '35.76' + ranking: '739' - - nameen: maxxvit_rmlp_small_rw_256 - namezh: maxxvit_rmlp_small_rw_256 + - nameen: seresnext101_32x4d + namezh: seresnext101_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2689 - datasetA: '50.29' - datasetB: '41.57' - ranking: '464' + download: 6204 + datasetA: '33.8' + datasetB: '35.72' + ranking: '814' - - nameen: maxxvit_rmlp_tiny_rw_256 - namezh: maxxvit_rmlp_tiny_rw_256 + - nameen: regnety_080 + namezh: regnety_080 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9245 - datasetA: '50.27' - datasetB: '17.12' - ranking: '465' + download: 4932 + datasetA: '43.53' + datasetB: '35.71' + ranking: '623' - - nameen: maxxvitv2_nano_rw_256 - namezh: maxxvitv2_nano_rw_256 + - nameen: samvit_base_patch16_224 + namezh: samvit_base_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1750 - datasetA: '50.25' - datasetB: '40.2' - ranking: '466' + download: 7300 + datasetA: '35.1' + datasetB: '35.62' + ranking: '780' - - nameen: maxxvitv2_rmlp_base_rw_224 - namezh: maxxvitv2_rmlp_base_rw_224 + - nameen: mobilenet_edgetpu_v2_s + namezh: mobilenet_edgetpu_v2_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8362 - datasetA: '50.24' - datasetB: '26.45' - ranking: '467' + download: 7447 + datasetA: '48.86' + datasetB: '35.59' + ranking: '491' - - nameen: maxxvitv2_rmlp_base_rw_384 - namezh: maxxvitv2_rmlp_base_rw_384 + - nameen: vit_base_patch16_siglip_gap_384 + namezh: vit_base_patch16_siglip_gap_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7016 - datasetA: '50.23' - datasetB: '46.3' - ranking: '468' + download: 9366 + datasetA: '27.29' + datasetB: '35.57' + ranking: '955' - - nameen: maxxvitv2_rmlp_large_rw_224 - namezh: maxxvitv2_rmlp_large_rw_224 - paper: + - nameen: ConvNeXt-L + ConvStem + namezh: ConvNeXt-L + ConvStem + paper: + text: >- + Revisiting Adversarial Training for ImageNet: Architectures, + Training and Generalization across Threat Models + link: null + download: 2240 + datasetA: '71.02' + datasetB: '35.55' + ranking: '4' + - nameen: hardcorenas_d + namezh: hardcorenas_d + paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3832 - datasetA: '50.22' - datasetB: '38.31' - ranking: '469' + download: 2923 + datasetA: '54.66' + datasetB: '35.48' + ranking: '361' - - nameen: mixer_b16_224 - namezh: mixer_b16_224 + - nameen: lambda_resnet26rpt_256 + namezh: lambda_resnet26rpt_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4749 - datasetA: '50.18' - datasetB: '45.59' - ranking: '470' + download: 2198 + datasetA: '53.01' + datasetB: '35.46' + ranking: '397' - - nameen: mixer_b32_224 - namezh: mixer_b32_224 + - nameen: repvgg_a0 + namezh: repvgg_a0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6122 - datasetA: '50.18' - datasetB: '37.53' - ranking: '471' + download: 5672 + datasetA: '42.04' + datasetB: '35.43' + ranking: '650' - - nameen: mixer_l16_224 - namezh: mixer_l16_224 + - nameen: tf_efficientnet_lite0 + namezh: tf_efficientnet_lite0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4678 - datasetA: '50.13' - datasetB: '23.76' - ranking: '472' + download: 8830 + datasetA: '30.85' + datasetB: '35.39' + ranking: '879' - - nameen: mixer_l32_224 - namezh: mixer_l32_224 + - nameen: vit_srelpos_medium_patch16_224 + namezh: vit_srelpos_medium_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1218 - datasetA: '50.12' - datasetB: '51.93' - ranking: '473' + download: 9520 + datasetA: '23.12' + datasetB: '35.39' + ranking: '1055' - - nameen: mixer_s16_224 - namezh: mixer_s16_224 + - nameen: tf_efficientnet_lite1 + namezh: tf_efficientnet_lite1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9015 - datasetA: '50.02' - datasetB: '47.79' - ranking: '474' + download: 8551 + datasetA: '30.77' + datasetB: '35.38' + ranking: '880' - - nameen: mixer_s32_224 - namezh: mixer_s32_224 + - nameen: volo_d4_224 + namezh: volo_d4_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6224 - datasetA: '50.02' - datasetB: '26.06' - ranking: '475' + download: 9873 + datasetA: '21.73' + datasetB: '35.36' + ranking: '1082' - - nameen: mixnet_l - namezh: mixnet_l + - nameen: eva02_base_patch16_clip_224 + namezh: eva02_base_patch16_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1058 - datasetA: '49.87' - datasetB: '19.03' - ranking: '476' + download: 8490 + datasetA: '58.05' + datasetB: '35.33' + ranking: '284' - - nameen: mixnet_m - namezh: mixnet_m + - nameen: resmlp_36_224 + namezh: resmlp_36_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7289 - datasetA: '49.87' - datasetB: '15.27' - ranking: '477' + download: 2404 + datasetA: '40.17' + datasetB: '35.32' + ranking: '680' - - nameen: mixnet_s - namezh: mixnet_s + - nameen: hiera_tiny_224 + namezh: hiera_tiny_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9455 - datasetA: '49.82' - datasetB: '50.71' - ranking: '478' + download: 4756 + datasetA: '54.15' + datasetB: '35.31' + ranking: '379' - - nameen: mixnet_xl - namezh: mixnet_xl + - nameen: cs3sedarknet_l + namezh: cs3sedarknet_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1240 - datasetA: '49.75' - datasetB: '49.87' - ranking: '479' + download: 9532 + datasetA: '65.79' + datasetB: '35.28' + ranking: '122' - - nameen: mixnet_xxl - namezh: mixnet_xxl + - nameen: vit_base_patch16_224_miil + namezh: vit_base_patch16_224_miil paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4838 - datasetA: '49.6' - datasetB: '52.06' - ranking: '480' + download: 8207 + datasetA: '28.09' + datasetB: '35.28' + ranking: '939' - - nameen: mnasnet_050 - namezh: mnasnet_050 + - nameen: legacy_seresnext101_32x4d + namezh: legacy_seresnext101_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9409 - datasetA: '49.53' - datasetB: '16.7' - ranking: '481' + download: 8382 + datasetA: '52.3' + datasetB: '35.17' + ranking: '414' - - nameen: mnasnet_075 - namezh: mnasnet_075 + - nameen: twins_svt_small + namezh: twins_svt_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2849 - datasetA: '49.48' - datasetB: '30.65' - ranking: '482' + download: 8262 + datasetA: '29.0' + datasetB: '35.15' + ranking: '922' - - nameen: mnasnet_100 - namezh: mnasnet_100 + - nameen: edgenext_x_small + namezh: edgenext_x_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3833 - datasetA: '49.47' - datasetB: '33.06' - ranking: '483' + download: 2643 + datasetA: '61.54' + datasetB: '35.12' + ranking: '211' - - nameen: mnasnet_140 - namezh: mnasnet_140 + - nameen: swinv2_cr_huge_384 + namezh: swinv2_cr_huge_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9522 - datasetA: '49.39' - datasetB: '25.36' - ranking: '484' + download: 9580 + datasetA: '32.25' + datasetB: '35.03' + ranking: '846' - - nameen: mnasnet_small - namezh: mnasnet_small + - nameen: vit_base_patch16_rope_reg1_gap_256 + namezh: vit_base_patch16_rope_reg1_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9985 - datasetA: '49.29' - datasetB: '33.39' - ranking: '485' + download: 6153 + datasetA: '27.69' + datasetB: '35.03' + ranking: '947' - - nameen: mobilenet_100 - namezh: mobilenet_100 + - nameen: efficientnetv2_s + namezh: efficientnetv2_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8510 - datasetA: '49.19' - datasetB: '41.43' - ranking: '486' + download: 5941 + datasetA: '59.1' + datasetB: '34.97' + ranking: '260' - - nameen: mobilenet_125 - namezh: mobilenet_125 + - nameen: swinv2_cr_giant_384 + namezh: swinv2_cr_giant_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2798 - datasetA: '49.16' - datasetB: '36.22' - ranking: '487' + download: 2552 + datasetA: '32.35' + datasetB: '34.92' + ranking: '844' - - nameen: mobilenet_edgetpu_100 - namezh: mobilenet_edgetpu_100 + - nameen: vit_base_resnet50d_224 + namezh: vit_base_resnet50d_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9858 - datasetA: '49.05' - datasetB: '15.93' - ranking: '488' + download: 4150 + datasetA: '26.61' + datasetB: '34.82' + ranking: '970' - - nameen: mobilenet_edgetpu_v2_l - namezh: mobilenet_edgetpu_v2_l + - nameen: hrnet_w44 + namezh: hrnet_w44 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6471 - datasetA: '48.99' - datasetB: '53.04' - ranking: '489' + download: 7862 + datasetA: '53.52' + datasetB: '34.8' + ranking: '387' - - nameen: mobilenet_edgetpu_v2_m - namezh: mobilenet_edgetpu_v2_m + - nameen: lcnet_150 + namezh: lcnet_150 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2432 - datasetA: '48.89' - datasetB: '23.33' - ranking: '490' + download: 9636 + datasetA: '52.73' + datasetB: '34.75' + ranking: '405' - - nameen: mobilenet_edgetpu_v2_s - namezh: mobilenet_edgetpu_v2_s + - nameen: ViT-B + ConvStem + namezh: ViT-B + ConvStem paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 7447 - datasetA: '48.86' - datasetB: '35.59' - ranking: '491' - - - nameen: mobilenet_edgetpu_v2_xs - namezh: mobilenet_edgetpu_v2_xs + text: >- + Revisiting Adversarial Training for ImageNet: Architectures, + Training and Generalization across Threat Models + link: null + download: 6491 + datasetA: '70.94' + datasetB: '34.69' + ranking: '8' + - nameen: regnetx_032 + namezh: regnetx_032 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6091 - datasetA: '48.84' - datasetB: '33.39' - ranking: '492' + download: 2040 + datasetA: '44.58' + datasetB: '34.65' + ranking: '606' - - nameen: mobilenetv2_035 - namezh: mobilenetv2_035 + - nameen: xcit_tiny_12_p8_384 + namezh: xcit_tiny_12_p8_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3673 - datasetA: '48.82' - datasetB: '46.82' - ranking: '493' + download: 7913 + datasetA: '20.34' + datasetB: '34.63' + ranking: '1117' - - nameen: mobilenetv2_050 - namezh: mobilenetv2_050 + - nameen: hgnet_small + namezh: hgnet_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6166 - datasetA: '48.82' - datasetB: '15.17' - ranking: '494' + download: 5369 + datasetA: '54.55' + datasetB: '34.58' + ranking: '365' - - nameen: mobilenetv2_075 - namezh: mobilenetv2_075 + - nameen: vit_so150m_patch16_reg4_gap_256 + namezh: vit_so150m_patch16_reg4_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1816 - datasetA: '48.77' - datasetB: '17.26' - ranking: '495' + download: 4222 + datasetA: '23.46' + datasetB: '34.41' + ranking: '1047' - - nameen: mobilenetv2_100 - namezh: mobilenetv2_100 + - nameen: swinv2_base_window8_256 + namezh: swinv2_base_window8_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5681 - datasetA: '48.7' - datasetB: '31.97' - ranking: '496' + download: 3924 + datasetA: '32.66' + datasetB: '34.32' + ranking: '835' - - nameen: mobilenetv2_110d - namezh: mobilenetv2_110d + - nameen: deit_small_patch16_224 + namezh: deit_small_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3650 - datasetA: '48.64' - datasetB: '48.55' - ranking: '497' + download: 1020 + datasetA: '64.16' + datasetB: '34.3' + ranking: '153' - - nameen: mobilenetv2_120d - namezh: mobilenetv2_120d + - nameen: ConvNeXtV2-L + Swin-L + namezh: ConvNeXtV2-L + Swin-L + paper: + text: >- + MixedNUTS: Training-Free Accuracy-Robustness Balance via + Nonlinearly Mixed Classifiers + link: null + download: 2223 + datasetA: '71.16' + datasetB: '34.2' + ranking: '1' + - nameen: poolformer_m36 + namezh: poolformer_m36 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4813 - datasetA: '48.61' - datasetB: '28.74' - ranking: '498' + download: 5927 + datasetA: '45.58' + datasetB: '34.19' + ranking: '581' - - nameen: mobilenetv2_140 - namezh: mobilenetv2_140 + - nameen: resnet34 + namezh: resnet34 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8402 - datasetA: '48.54' - datasetB: '16.95' - ranking: '499' + download: 1845 + datasetA: '38.9' + datasetB: '34.18' + ranking: '699' - - nameen: mobilenetv3_large_075 - namezh: mobilenetv3_large_075 + - nameen: resnetv2_152x4_bit + namezh: resnetv2_152x4_bit paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1397 - datasetA: '48.46' - datasetB: '25.96' - ranking: '500' + download: 7444 + datasetA: '35.84' + datasetB: '34.17' + ranking: '760' - - nameen: mobilenetv3_large_100 - namezh: mobilenetv3_large_100 + - nameen: swinv2_cr_small_ns_256 + namezh: swinv2_cr_small_ns_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2993 - datasetA: '48.42' - datasetB: '15.39' - ranking: '501' + download: 4671 + datasetA: '31.9' + datasetB: '34.13' + ranking: '852' - - nameen: mobilenetv3_rw - namezh: mobilenetv3_rw + - nameen: dm_nfnet_f4 + namezh: dm_nfnet_f4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4317 - datasetA: '48.41' - datasetB: '52.08' - ranking: '502' + download: 2721 + datasetA: '62.93' + datasetB: '34.02' + ranking: '178' - - nameen: mobilenetv3_small_050 - namezh: mobilenetv3_small_050 + - nameen: ghostnetv2_160 + namezh: ghostnetv2_160 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1414 - datasetA: '48.33' - datasetB: '53.58' - ranking: '503' + download: 4326 + datasetA: '55.07' + datasetB: '34.01' + ranking: '347' - - nameen: mobilenetv3_small_075 - namezh: mobilenetv3_small_075 + - nameen: resnet34d + namezh: resnet34d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4580 - datasetA: '48.25' - datasetB: '24.57' - ranking: '504' + download: 5889 + datasetA: '38.88' + datasetB: '34.0' + ranking: '700' - - nameen: mobilenetv3_small_100 - namezh: mobilenetv3_small_100 + - nameen: focalnet_base_srf + namezh: focalnet_base_srf paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1782 - datasetA: '48.17' - datasetB: '29.96' - ranking: '505' + download: 2262 + datasetA: '56.64' + datasetB: '33.94' + ranking: '318' - - nameen: mobilenetv4_conv_aa_medium - namezh: mobilenetv4_conv_aa_medium + - nameen: dla60_res2next + namezh: dla60_res2next paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2085 - datasetA: '48.16' - datasetB: '27.6' - ranking: '506' + download: 7334 + datasetA: '63.46' + datasetB: '33.74' + ranking: '167' - - nameen: mobilenetv4_conv_blur_medium - namezh: mobilenetv4_conv_blur_medium + - nameen: regnetx_004_tv + namezh: regnetx_004_tv paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4023 - datasetA: '48.15' - datasetB: '39.05' - ranking: '507' + download: 1379 + datasetA: '44.86' + datasetB: '33.74' + ranking: '602' - - nameen: mobilenetv4_conv_large - namezh: mobilenetv4_conv_large + - nameen: seresnext26ts + namezh: seresnext26ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3194 - datasetA: '48.14' - datasetB: '21.24' - ranking: '508' + download: 3416 + datasetA: '33.85' + datasetB: '33.69' + ranking: '812' - - nameen: mobilenetv4_conv_medium - namezh: mobilenetv4_conv_medium + - nameen: vit_base_r50_s16_224 + namezh: vit_base_r50_s16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9127 - datasetA: '48.08' - datasetB: '52.87' - ranking: '509' + download: 8407 + datasetA: '26.75' + datasetB: '33.6' + ranking: '967' - - nameen: mobilenetv4_conv_small - namezh: mobilenetv4_conv_small + - nameen: vit_so150m_patch16_reg4_map_256 + namezh: vit_so150m_patch16_reg4_map_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4866 - datasetA: '48.08' - datasetB: '13.4' - ranking: '510' + download: 9738 + datasetA: '23.33' + datasetB: '33.56' + ranking: '1048' - - nameen: mobilenetv4_hybrid_large - namezh: mobilenetv4_hybrid_large + - nameen: deit3_base_patch16_384 + namezh: deit3_base_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8495 - datasetA: '48.04' - datasetB: '49.28' - ranking: '511' + download: 1463 + datasetA: '64.67' + datasetB: '33.53' + ranking: '141' - - nameen: mobilenetv4_hybrid_large_075 - namezh: mobilenetv4_hybrid_large_075 + - nameen: efficientnet_el_pruned + namezh: efficientnet_el_pruned paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9665 - datasetA: '48.02' - datasetB: '25.18' - ranking: '512' + download: 8512 + datasetA: '60.13' + datasetB: '33.5' + ranking: '242' - - nameen: mobilenetv4_hybrid_medium - namezh: mobilenetv4_hybrid_medium + - nameen: resnetv2_50d_gn + namezh: resnetv2_50d_gn paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6638 - datasetA: '47.97' - datasetB: '35.82' - ranking: '513' + download: 2707 + datasetA: '36.33' + datasetB: '33.49' + ranking: '749' - - nameen: mobilenetv4_hybrid_medium_075 - namezh: mobilenetv4_hybrid_medium_075 + - nameen: convit_base + namezh: convit_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8535 - datasetA: '47.92' - datasetB: '50.74' - ranking: '514' + download: 2506 + datasetA: '68.42' + datasetB: '33.46' + ranking: '70' - - nameen: mobileone_s0 - namezh: mobileone_s0 + - nameen: regnetv_040 + namezh: regnetv_040 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5623 - datasetA: '47.9' - datasetB: '32.5' - ranking: '515' + download: 5369 + datasetA: '44.99' + datasetB: '33.45' + ranking: '598' - - nameen: mobileone_s1 - namezh: mobileone_s1 + - nameen: mnasnet_small + namezh: mnasnet_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9036 - datasetA: '47.9' - datasetB: '20.29' - ranking: '516' + download: 9985 + datasetA: '49.29' + datasetB: '33.39' + ranking: '485' - - nameen: mobileone_s2 - namezh: mobileone_s2 + - nameen: mobilenet_edgetpu_v2_xs + namezh: mobilenet_edgetpu_v2_xs paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2145 - datasetA: '47.9' - datasetB: '25.76' - ranking: '517' + download: 6091 + datasetA: '48.84' + datasetB: '33.39' + ranking: '492' - - nameen: mobileone_s3 - namezh: mobileone_s3 + - nameen: resnetv2_101d + namezh: resnetv2_101d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1558 - datasetA: '47.85' - datasetB: '26.97' - ranking: '518' + download: 1710 + datasetA: '36.14' + datasetB: '33.39' + ranking: '754' - - nameen: mobileone_s4 - namezh: mobileone_s4 + - nameen: selecsls42b + namezh: selecsls42b paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4458 - datasetA: '47.84' - datasetB: '32.73' - ranking: '519' + download: 5226 + datasetA: '34.78' + datasetB: '33.26' + ranking: '787' - - nameen: mobilevit_s - namezh: mobilevit_s + - nameen: repghostnet_111 + namezh: repghostnet_111 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6691 - datasetA: '47.84' - datasetB: '21.15' - ranking: '520' + download: 9977 + datasetA: '42.18' + datasetB: '33.21' + ranking: '646' - - nameen: mobilevit_xs - namezh: mobilevit_xs + - nameen: pit_s_224 + namezh: pit_s_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2012 - datasetA: '47.79' - datasetB: '43.81' - ranking: '521' + download: 2428 + datasetA: '45.78' + datasetB: '33.18' + ranking: '574' - - nameen: mobilevit_xxs - namezh: mobilevit_xxs + - nameen: tf_mixnet_m + namezh: tf_mixnet_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3545 - datasetA: '47.76' - datasetB: '29.54' - ranking: '522' + download: 8371 + datasetA: '30.18' + datasetB: '33.07' + ranking: '893' - - nameen: mobilevitv2_050 - namezh: mobilevitv2_050 + - nameen: mnasnet_100 + namezh: mnasnet_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8117 - datasetA: '47.71' - datasetB: '29.6' - ranking: '523' + download: 3833 + datasetA: '49.47' + datasetB: '33.06' + ranking: '483' - - nameen: mobilevitv2_075 - namezh: mobilevitv2_075 + - nameen: volo_d1_224 + namezh: volo_d1_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9545 - datasetA: '47.69' - datasetB: '19.76' - ranking: '524' + download: 2131 + datasetA: '22.12' + datasetB: '33.05' + ranking: '1076' - - nameen: mobilevitv2_100 - namezh: mobilevitv2_100 + - nameen: resnet50d + namezh: resnet50d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4492 - datasetA: '47.66' - datasetB: '15.98' - ranking: '525' + download: 7264 + datasetA: '38.22' + datasetB: '33.03' + ranking: '707' - - nameen: mobilevitv2_125 - namezh: mobilevitv2_125 + - nameen: crossvit_15_240 + namezh: crossvit_15_240 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6445 - datasetA: '47.66' - datasetB: '16.57' - ranking: '526' + download: 3104 + datasetA: '67.05' + datasetB: '33.02' + ranking: '103' - - nameen: mobilevitv2_150 - namezh: mobilevitv2_150 + - nameen: dla102 + namezh: dla102 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5748 - datasetA: '47.64' - datasetB: '11.67' - ranking: '527' + download: 9459 + datasetA: '63.37' + datasetB: '32.98' + ranking: '170' - - nameen: mobilevitv2_175 - namezh: mobilevitv2_175 + - nameen: beit_large_patch16_224 + namezh: beit_large_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9949 - datasetA: '47.59' - datasetB: '12.65' - ranking: '528' + download: 3147 + datasetA: '70.66' + datasetB: '32.97' + ranking: '15' - - nameen: mobilevitv2_200 - namezh: mobilevitv2_200 + - nameen: vit_medium_patch16_clip_224 + namezh: vit_medium_patch16_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8233 - datasetA: '47.59' - datasetB: '23.44' - ranking: '529' + download: 2060 + datasetA: '24.95' + datasetB: '32.95' + ranking: '1012' - - nameen: mvitv2_base - namezh: mvitv2_base + - nameen: deit_base_distilled_patch16_224 + namezh: deit_base_distilled_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6802 - datasetA: '47.52' - datasetB: '26.78' - ranking: '530' + download: 1498 + datasetA: '64.34' + datasetB: '32.93' + ranking: '148' - - nameen: mvitv2_base_cls - namezh: mvitv2_base_cls + - nameen: dpn48b + namezh: dpn48b paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8154 - datasetA: '47.47' - datasetB: '16.93' - ranking: '531' + download: 4008 + datasetA: '62.83' + datasetB: '32.93' + ranking: '181' - - nameen: mvitv2_huge_cls - namezh: mvitv2_huge_cls + - nameen: resnetaa50d + namezh: resnetaa50d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3503 - datasetA: '47.43' - datasetB: '52.23' - ranking: '532' + download: 2638 + datasetA: '37.33' + datasetB: '32.89' + ranking: '732' - - nameen: mvitv2_large - namezh: mvitv2_large + - nameen: davit_giant + namezh: davit_giant paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5055 - datasetA: '47.38' - datasetB: '49.92' - ranking: '533' + download: 5905 + datasetA: '64.95' + datasetB: '32.87' + ranking: '135' - - nameen: mvitv2_large_cls - namezh: mvitv2_large_cls + - nameen: swinv2_cr_tiny_384 + namezh: swinv2_cr_tiny_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8836 - datasetA: '47.33' - datasetB: '47.95' - ranking: '534' + download: 1959 + datasetA: '31.85' + datasetB: '32.76' + ranking: '854' - - nameen: mvitv2_small - namezh: mvitv2_small + - nameen: mobileone_s4 + namezh: mobileone_s4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1139 - datasetA: '47.31' - datasetB: '36.09' - ranking: '535' + download: 4458 + datasetA: '47.84' + datasetB: '32.73' + ranking: '519' - - nameen: mvitv2_small_cls - namezh: mvitv2_small_cls + - nameen: vovnet39a + namezh: vovnet39a paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4742 - datasetA: '47.29' - datasetB: '38.59' - ranking: '536' + download: 6537 + datasetA: '21.53' + datasetB: '32.71' + ranking: '1087' - - nameen: mvitv2_tiny - namezh: mvitv2_tiny + - nameen: levit_512 + namezh: levit_512 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8654 - datasetA: '47.21' - datasetB: '19.67' - ranking: '537' + download: 6435 + datasetA: '51.91' + datasetB: '32.66' + ranking: '423' - - nameen: nasnetalarge - namezh: nasnetalarge + - nameen: nf_regnet_b1 + namezh: nf_regnet_b1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6252 - datasetA: '47.17' - datasetB: '20.44' - ranking: '538' + download: 6201 + datasetA: '46.77' + datasetB: '32.62' + ranking: '552' - - nameen: nest_base - namezh: nest_base + - nameen: res2next50 + namezh: res2next50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7877 - datasetA: '47.16' - datasetB: '37.47' - ranking: '539' + download: 7209 + datasetA: '40.23' + datasetB: '32.62' + ranking: '677' - - nameen: nest_base_jx - namezh: nest_base_jx + - nameen: coat_small + namezh: coat_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5030 - datasetA: '47.15' - datasetB: '39.74' - ranking: '540' + download: 5532 + datasetA: '69.44' + datasetB: '32.56' + ranking: '42' - - nameen: nest_small - namezh: nest_small + - nameen: ese_vovnet99b + namezh: ese_vovnet99b paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5553 - datasetA: '47.15' - datasetB: '25.39' - ranking: '541' + download: 8378 + datasetA: '58.19' + datasetB: '32.56' + ranking: '281' - - nameen: nest_small_jx - namezh: nest_small_jx + - nameen: nfnet_f4 + namezh: nfnet_f4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4293 - datasetA: '47.08' - datasetB: '32.5' - ranking: '542' + download: 5123 + datasetA: '46.06' + datasetB: '32.53' + ranking: '567' - - nameen: nest_tiny - namezh: nest_tiny + - nameen: eva02_tiny_patch14_224 + namezh: eva02_tiny_patch14_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9477 - datasetA: '47.04' - datasetB: '11.66' - ranking: '543' + download: 5244 + datasetA: '57.61' + datasetB: '32.52' + ranking: '292' - - nameen: nest_tiny_jx - namezh: nest_tiny_jx + - nameen: maxvit_tiny_tf_384 + namezh: maxvit_tiny_tf_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8776 - datasetA: '47.01' - datasetB: '44.31' - ranking: '544' + download: 6239 + datasetA: '50.38' + datasetB: '32.5' + ranking: '458' - - nameen: nextvit_base - namezh: nextvit_base + - nameen: mobileone_s0 + namezh: mobileone_s0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6015 - datasetA: '46.97' - datasetB: '21.91' - ranking: '545' + download: 5623 + datasetA: '47.9' + datasetB: '32.5' + ranking: '515' - - nameen: nextvit_large - namezh: nextvit_large + - nameen: nest_small_jx + namezh: nest_small_jx paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1585 - datasetA: '46.9' - datasetB: '50.85' - ranking: '546' + download: 4293 + datasetA: '47.08' + datasetB: '32.5' + ranking: '542' - - nameen: nextvit_small - namezh: nextvit_small + - nameen: hrnet_w18_small + namezh: hrnet_w18_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1221 - datasetA: '46.84' - datasetB: '27.83' - ranking: '547' + download: 1976 + datasetA: '54.09' + datasetB: '32.49' + ranking: '381' - - nameen: nf_ecaresnet26 - namezh: nf_ecaresnet26 + - nameen: efficientvit_l3 + namezh: efficientvit_l3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9011 - datasetA: '46.79' - datasetB: '46.94' - ranking: '548' + download: 7262 + datasetA: '58.82' + datasetB: '32.48' + ranking: '268' - - nameen: nf_ecaresnet50 - namezh: nf_ecaresnet50 + - nameen: edgenext_xx_small + namezh: edgenext_xx_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3364 - datasetA: '46.78' - datasetB: '52.53' - ranking: '549' + download: 4899 + datasetA: '61.43' + datasetB: '32.46' + ranking: '212' - - nameen: nf_ecaresnet101 - namezh: nf_ecaresnet101 + - nameen: efficientnetv2_rw_m + namezh: efficientnetv2_rw_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5629 - datasetA: '46.78' - datasetB: '30.7' - ranking: '550' + download: 8450 + datasetA: '59.18' + datasetB: '32.43' + ranking: '257' - - nameen: nf_regnet_b0 - namezh: nf_regnet_b0 + - nameen: swinv2_large_window12to24_192to384 + namezh: swinv2_large_window12to24_192to384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6998 - datasetA: '46.78' - datasetB: '41.68' - ranking: '551' + download: 7777 + datasetA: '31.72' + datasetB: '32.4' + ranking: '858' - - nameen: nf_regnet_b1 - namezh: nf_regnet_b1 + - nameen: efficientformerv2_s0 + namezh: efficientformerv2_s0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6201 - datasetA: '46.77' - datasetB: '32.62' - ranking: '552' + download: 4840 + datasetA: '61.3' + datasetB: '32.38' + ranking: '217' - - nameen: nf_regnet_b2 - namezh: nf_regnet_b2 + - nameen: dpn68b + namezh: dpn68b paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4668 - datasetA: '46.68' - datasetB: '53.84' - ranking: '553' + download: 2375 + datasetA: '62.68' + datasetB: '32.35' + ranking: '183' - - nameen: nf_regnet_b3 - namezh: nf_regnet_b3 + - nameen: eca_nfnet_l0 + namezh: eca_nfnet_l0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4331 - datasetA: '46.64' - datasetB: '36.36' - ranking: '554' + download: 2399 + datasetA: '62.36' + datasetB: '32.34' + ranking: '190' - - nameen: nf_regnet_b4 - namezh: nf_regnet_b4 + - nameen: visformer_small + namezh: visformer_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4159 - datasetA: '46.62' - datasetB: '49.85' - ranking: '555' + download: 6586 + datasetA: '28.34' + datasetB: '32.26' + ranking: '931' - - nameen: nf_regnet_b5 - namezh: nf_regnet_b5 + - nameen: tf_mobilenetv3_small_minimal_100 + namezh: tf_mobilenetv3_small_minimal_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7416 - datasetA: '46.62' - datasetB: '49.71' - ranking: '556' + download: 7491 + datasetA: '29.99' + datasetB: '32.18' + ranking: '900' - - nameen: nf_resnet26 - namezh: nf_resnet26 + - nameen: maxvit_rmlp_pico_rw_256 + namezh: maxvit_rmlp_pico_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7539 - datasetA: '46.57' - datasetB: '39.22' - ranking: '557' + download: 2735 + datasetA: '51.1' + datasetB: '32.17' + ranking: '447' - - nameen: nf_resnet50 - namezh: nf_resnet50 + - nameen: flexivit_small + namezh: flexivit_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6557 - datasetA: '46.56' - datasetB: '11.95' - ranking: '558' + download: 5189 + datasetA: '56.76' + datasetB: '32.16' + ranking: '316' - - nameen: nf_resnet101 - namezh: nf_resnet101 + - nameen: lcnet_075 + namezh: lcnet_075 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2736 - datasetA: '46.55' - datasetB: '10.88' - ranking: '559' + download: 5841 + datasetA: '52.8' + datasetB: '32.11' + ranking: '403' - - nameen: nf_seresnet26 - namezh: nf_seresnet26 + - nameen: dpn92 + namezh: dpn92 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2193 - datasetA: '46.44' - datasetB: '19.17' - ranking: '560' + download: 7103 + datasetA: '62.58' + datasetB: '32.1' + ranking: '184' - - nameen: nf_seresnet50 - namezh: nf_seresnet50 + - nameen: vit_huge_patch14_xp_224 + namezh: vit_huge_patch14_xp_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2153 - datasetA: '46.37' - datasetB: '37.26' - ranking: '561' + download: 6348 + datasetA: '25.56' + datasetB: '32.03' + ranking: '990' - - nameen: nf_seresnet101 - namezh: nf_seresnet101 + - nameen: mobilenetv2_100 + namezh: mobilenetv2_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3535 - datasetA: '46.29' - datasetB: '26.01' - ranking: '562' + download: 5681 + datasetA: '48.7' + datasetB: '31.97' + ranking: '496' - - nameen: nfnet_f0 - namezh: nfnet_f0 + - nameen: cs3darknet_x + namezh: cs3darknet_x paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5017 - datasetA: '46.25' - datasetB: '12.24' - ranking: '563' + download: 3321 + datasetA: '65.88' + datasetB: '31.92' + ranking: '119' - - nameen: nfnet_f1 - namezh: nfnet_f1 + - nameen: tf_efficientnet_b6 + namezh: tf_efficientnet_b6 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7460 - datasetA: '46.22' - datasetB: '20.06' - ranking: '564' + download: 9462 + datasetA: '31.22' + datasetB: '31.89' + ranking: '869' - - nameen: nfnet_f2 - namezh: nfnet_f2 + - nameen: ConvNeXt-L + namezh: ConvNeXt-L + paper: + text: >- + A Comprehensive Study on Robustness of Image Classification + Models: Benchmarking and Rethinking + link: null + download: 4450 + datasetA: '71.09' + datasetB: '31.85' + ranking: '3' + - nameen: coatnet_1_rw_224 + namezh: coatnet_1_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6071 - datasetA: '46.12' - datasetB: '29.72' - ranking: '565' + download: 4700 + datasetA: '69.14' + datasetB: '31.82' + ranking: '47' - - nameen: nfnet_f3 - namezh: nfnet_f3 + - nameen: dla102x2 + namezh: dla102x2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7441 - datasetA: '46.09' - datasetB: '48.93' - ranking: '566' + download: 4995 + datasetA: '63.2' + datasetB: '31.79' + ranking: '172' - - nameen: nfnet_f4 - namezh: nfnet_f4 + - nameen: ese_vovnet19b_dw + namezh: ese_vovnet19b_dw paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5123 - datasetA: '46.06' - datasetB: '32.53' - ranking: '567' + download: 6265 + datasetA: '58.43' + datasetB: '31.74' + ranking: '275' - - nameen: nfnet_f5 - namezh: nfnet_f5 + - nameen: RaWideResNet-101-2 + namezh: RaWideResNet-101-2 + paper: + text: >- + Robust Principles: Architectural Design Principles for + Adversarially Robust CNNs + link: null + download: 2641 + datasetA: '70.82' + datasetB: '31.72' + ranking: '10' + - nameen: halonet_h1 + namezh: halonet_h1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5806 - datasetA: '46.01' - datasetB: '53.16' - ranking: '568' + download: 9407 + datasetA: '54.81' + datasetB: '31.71' + ranking: '356' - - nameen: nfnet_f6 - namezh: nfnet_f6 + - nameen: regnety_120 + namezh: regnety_120 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7174 - datasetA: '46.0' - datasetB: '24.86' - ranking: '569' + download: 9546 + datasetA: '43.38' + datasetB: '31.69' + ranking: '625' - - nameen: nfnet_f7 - namezh: nfnet_f7 + - nameen: vit_base_patch16_384 + namezh: vit_base_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1920 - datasetA: '45.91' - datasetB: '23.16' - ranking: '570' + download: 9484 + datasetA: '28.09' + datasetB: '31.64' + ranking: '940' - - nameen: nfnet_l0 - namezh: nfnet_l0 + - nameen: darknetaa53 + namezh: darknetaa53 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1998 - datasetA: '45.9' - datasetB: '27.37' - ranking: '571' + download: 1931 + datasetA: '65.15' + datasetB: '31.59' + ranking: '133' - - nameen: pit_b_224 - namezh: pit_b_224 + - nameen: seresnext101_64x4d + namezh: seresnext101_64x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6933 - datasetA: '45.9' - datasetB: '25.95' - ranking: '572' + download: 1633 + datasetA: '33.77' + datasetB: '31.49' + ranking: '816' - - nameen: pit_b_distilled_224 - namezh: pit_b_distilled_224 + - nameen: xcit_medium_24_p8_224 + namezh: xcit_medium_24_p8_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6016 - datasetA: '45.88' - datasetB: '46.47' - ranking: '573' + download: 8458 + datasetA: '20.99' + datasetB: '31.45' + ranking: '1100' - - nameen: pit_s_224 - namezh: pit_s_224 + - nameen: eva_giant_patch14_560 + namezh: eva_giant_patch14_560 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2428 - datasetA: '45.78' - datasetB: '33.18' - ranking: '574' + download: 9624 + datasetA: '57.45' + datasetB: '31.44' + ranking: '296' - - nameen: pit_s_distilled_224 - namezh: pit_s_distilled_224 + - nameen: pvt_v2_b0 + namezh: pvt_v2_b0 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8978 - datasetA: '45.76' - datasetB: '21.19' - ranking: '575' + download: 9067 + datasetA: '45.2' + datasetB: '31.44' + ranking: '591' - - nameen: pit_ti_224 - namezh: pit_ti_224 + - nameen: regnety_008 + namezh: regnety_008 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6591 - datasetA: '45.74' - datasetB: '47.83' - ranking: '576' + download: 4274 + datasetA: '43.78' + datasetB: '31.41' + ranking: '616' - - nameen: pit_ti_distilled_224 - namezh: pit_ti_distilled_224 + - nameen: resnet50x4_clip_gap + namezh: resnet50x4_clip_gap paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9925 - datasetA: '45.72' - datasetB: '41.86' - ranking: '577' + download: 9329 + datasetA: '38.16' + datasetB: '31.36' + ranking: '711' - - nameen: pit_xs_224 - namezh: pit_xs_224 + - nameen: vit_betwixt_patch16_reg4_gap_256 + namezh: vit_betwixt_patch16_reg4_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1396 - datasetA: '45.68' - datasetB: '28.69' - ranking: '578' + download: 1761 + datasetA: '26.35' + datasetB: '31.31' + ranking: '973' - - nameen: pit_xs_distilled_224 - namezh: pit_xs_distilled_224 + - nameen: eva02_small_patch14_336 + namezh: eva02_small_patch14_336 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4329 - datasetA: '45.65' - datasetB: '49.81' - ranking: '579' + download: 3951 + datasetA: '57.61' + datasetB: '31.24' + ranking: '291' - - nameen: pnasnet5large - namezh: pnasnet5large + - nameen: resnet101s + namezh: resnet101s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9087 - datasetA: '45.63' - datasetB: '49.89' - ranking: '580' + download: 7855 + datasetA: '37.67' + datasetB: '31.22' + ranking: '723' - - nameen: poolformer_m36 - namezh: poolformer_m36 + - nameen: convnext_xlarge + namezh: convnext_xlarge paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5927 - datasetA: '45.58' - datasetB: '34.19' - ranking: '581' + download: 9335 + datasetA: '67.52' + datasetB: '31.21' + ranking: '90' - - nameen: poolformer_m48 - namezh: poolformer_m48 + - nameen: pvt_v2_b5 + namezh: pvt_v2_b5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 7557 - datasetA: '38.83' - datasetB: '28.84' - ranking: '701' + download: 1455 + datasetA: '34.68' + datasetB: '26.82' + ranking: '789' - - nameen: resnet50_clip - namezh: resnet50_clip + - nameen: mvitv2_base + namezh: mvitv2_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9260 - datasetA: '38.8' - datasetB: '13.09' - ranking: '702' + download: 6802 + datasetA: '47.52' + datasetB: '26.78' + ranking: '530' - - nameen: resnet50_clip_gap - namezh: resnet50_clip_gap + - nameen: vit_base_patch14_dinov2 + namezh: vit_base_patch14_dinov2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9821 - datasetA: '38.61' - datasetB: '40.82' - ranking: '703' + download: 9899 + datasetA: '28.2' + datasetB: '26.62' + ranking: '935' - - nameen: resnet50_gn - namezh: resnet50_gn + - nameen: maxvit_base_tf_384 + namezh: maxvit_base_tf_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 7264 - datasetA: '38.22' - datasetB: '33.03' - ranking: '707' + download: 5777 + datasetA: '68.36' + datasetB: '26.35' + ranking: '73' - - nameen: resnet50s - namezh: resnet50s + - nameen: resnetv2_50t + namezh: resnetv2_50t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3840 - datasetA: '38.18' - datasetB: '30.71' - ranking: '708' + download: 6031 + datasetA: '36.27' + datasetB: '26.26' + ranking: '750' - - nameen: resnet50t - namezh: resnet50t + - nameen: legacy_seresnext50_32x4d + namezh: legacy_seresnext50_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1027 - datasetA: '38.16' - datasetB: '53.19' - ranking: '709' + download: 4511 + datasetA: '52.39' + datasetB: '26.24' + ranking: '413' - - nameen: resnet50x4_clip - namezh: resnet50x4_clip + - nameen: vit_so400m_patch14_siglip_224 + namezh: vit_so400m_patch14_siglip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3458 - datasetA: '38.16' - datasetB: '52.47' - ranking: '710' + download: 2525 + datasetA: '23.31' + datasetB: '26.21' + ranking: '1049' - - nameen: resnet50x4_clip_gap - namezh: resnet50x4_clip_gap + - nameen: davit_base + namezh: davit_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9329 - datasetA: '38.16' - datasetB: '31.36' - ranking: '711' + download: 1908 + datasetA: '65.01' + datasetB: '26.18' + ranking: '134' - - nameen: resnet50x16_clip - namezh: resnet50x16_clip + - nameen: cs3darknet_focus_m + namezh: cs3darknet_focus_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2333 - datasetA: '38.15' - datasetB: '44.36' - ranking: '712' + download: 9664 + datasetA: '66.28' + datasetB: '26.17' + ranking: '113' - - nameen: resnet50x16_clip_gap - namezh: resnet50x16_clip_gap + - nameen: convnext_large_mlp + namezh: convnext_large_mlp paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6746 - datasetA: '38.13' - datasetB: '19.73' - ranking: '713' + download: 1842 + datasetA: '67.78' + datasetB: '26.13' + ranking: '82' - - nameen: resnet50x64_clip - namezh: resnet50x64_clip + - nameen: efficientnet_es_pruned + namezh: efficientnet_es_pruned paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1352 - datasetA: '38.13' - datasetB: '47.48' - ranking: '714' + download: 2661 + datasetA: '59.95' + datasetB: '26.1' + ranking: '245' - - nameen: resnet50x64_clip_gap - namezh: resnet50x64_clip_gap + - nameen: crossvit_tiny_240 + namezh: crossvit_tiny_240 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6282 - datasetA: '38.06' - datasetB: '20.76' - ranking: '715' + download: 8287 + datasetA: '66.47' + datasetB: '26.06' + ranking: '111' - - nameen: resnet51q - namezh: resnet51q + - nameen: mixer_s32_224 + namezh: mixer_s32_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1928 - datasetA: '38.05' - datasetB: '41.99' - ranking: '716' + download: 6224 + datasetA: '50.02' + datasetB: '26.06' + ranking: '475' - - nameen: resnet61q - namezh: resnet61q + - nameen: repvgg_b1 + namezh: repvgg_b1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4770 - datasetA: '37.99' - datasetB: '19.78' - ranking: '717' + download: 6840 + datasetA: '41.79' + datasetB: '26.02' + ranking: '654' - - nameen: resnet101 - namezh: resnet101 + - nameen: nf_seresnet101 + namezh: nf_seresnet101 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7956 - datasetA: '37.85' - datasetB: '53.6' - ranking: '718' + download: 3535 + datasetA: '46.29' + datasetB: '26.01' + ranking: '562' - - nameen: resnet101_clip - namezh: resnet101_clip + - nameen: eva02_base_patch14_448 + namezh: eva02_base_patch14_448 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6925 - datasetA: '37.8' - datasetB: '13.66' - ranking: '719' - - - nameen: resnet101_clip_gap - namezh: resnet101_clip_gap - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 2854 - datasetA: '37.76' - datasetB: '11.49' - ranking: '720' + download: 7486 + datasetA: '58.08' + datasetB: '26.0' + ranking: '283' - - nameen: resnet101c - namezh: resnet101c + - nameen: mobilenetv3_large_075 + namezh: mobilenetv3_large_075 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8748 - datasetA: '37.76' - datasetB: '17.05' - ranking: '721' + download: 1397 + datasetA: '48.46' + datasetB: '25.96' + ranking: '500' - - nameen: resnet101d - namezh: resnet101d + - nameen: pit_b_224 + namezh: pit_b_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1458 - datasetA: '37.71' - datasetB: '22.19' - ranking: '722' + download: 6933 + datasetA: '45.9' + datasetB: '25.95' + ranking: '572' - 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ranking: '734' + download: 7696 + datasetA: '25.53' + datasetB: '25.57' + ranking: '991' - - nameen: resnetblur50 - namezh: resnetblur50 + - nameen: ghostnet_100 + namezh: ghostnet_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4603 - datasetA: '37.18' - datasetB: '35.92' - ranking: '735' + download: 8244 + datasetA: '55.24' + datasetB: '25.56' + ranking: '343' - - nameen: resnetblur50d - namezh: resnetblur50d + - nameen: legacy_seresnet101 + namezh: legacy_seresnet101 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1918 - datasetA: '37.11' - datasetB: '51.57' - ranking: '736' + download: 9156 + datasetA: '52.52' + datasetB: '25.5' + ranking: '410' - - nameen: resnetblur101d - namezh: resnetblur101d + - nameen: poolformerv2_s12 + namezh: poolformerv2_s12 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8083 - datasetA: '36.96' - datasetB: '52.31' - ranking: '737' + download: 7213 + datasetA: '45.35' + datasetB: '25.49' + ranking: '588' - - nameen: resnetrs50 - namezh: resnetrs50 + - nameen: nest_small + namezh: nest_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4209 - datasetA: '36.92' - datasetB: '25.09' - ranking: '738' + download: 5553 + datasetA: '47.15' + datasetB: '25.39' + ranking: '541' - - nameen: resnetrs101 - namezh: resnetrs101 + - nameen: xcit_small_12_p16_224 + namezh: xcit_small_12_p16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3989 - datasetA: '36.9' - datasetB: '35.76' - ranking: '739' + download: 4075 + datasetA: '20.64' + datasetB: '25.38' + ranking: '1110' - - nameen: resnetrs152 - namezh: resnetrs152 + - nameen: mnasnet_140 + namezh: mnasnet_140 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8900 - datasetA: '36.75' - datasetB: '10.62' - ranking: '740' + download: 9522 + datasetA: '49.39' + datasetB: '25.36' + ranking: '484' - - nameen: resnetrs200 - namezh: resnetrs200 + - nameen: samvit_huge_patch16 + namezh: samvit_huge_patch16 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5457 - datasetA: '36.66' - datasetB: '36.18' - ranking: '741' - - - nameen: resnetrs270 - namezh: resnetrs270 - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 8654 - datasetA: '36.64' - datasetB: '11.58' - ranking: '742' - - - nameen: resnetrs350 - namezh: resnetrs350 - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 8495 - datasetA: '36.64' - datasetB: '14.19' - ranking: '743' + download: 2727 + datasetA: '35.08' + datasetB: '25.36' + ranking: '781' - - nameen: resnetrs420 - namezh: resnetrs420 + - nameen: vit_medium_patch16_gap_240 + namezh: vit_medium_patch16_gap_240 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7573 - datasetA: '36.6' - datasetB: '36.61' - ranking: '744' + download: 9115 + datasetA: '24.93' + datasetB: '25.33' + ranking: '1013' - - nameen: resnetv2_50 - namezh: resnetv2_50 + - nameen: selecsls60 + namezh: selecsls60 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5759 - datasetA: '36.47' - datasetB: '46.97' - ranking: '745' + download: 6982 + datasetA: '34.77' + datasetB: '25.25' + ranking: '788' - - nameen: resnetv2_50d - namezh: resnetv2_50d + - nameen: rexnet_200 + namezh: rexnet_200 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9913 - datasetA: '36.46' - datasetB: '23.63' - ranking: '746' + download: 7519 + datasetA: '35.36' + datasetB: '25.23' + ranking: '772' - - nameen: resnetv2_50d_evos - namezh: resnetv2_50d_evos + - nameen: efficientnet_b8 + namezh: efficientnet_b8 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6625 - datasetA: '36.43' - datasetB: '22.53' - ranking: '747' + download: 3689 + datasetA: '60.52' + datasetB: '25.21' + ranking: '236' - - nameen: resnetv2_50d_frn - namezh: resnetv2_50d_frn + - nameen: hiera_large_224 + namezh: hiera_large_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6796 - datasetA: '36.42' - datasetB: '14.77' - ranking: '748' + download: 8582 + datasetA: '54.16' + datasetB: '25.19' + ranking: '377' - - nameen: resnetv2_50d_gn - namezh: resnetv2_50d_gn + - nameen: mobilenetv4_hybrid_large_075 + namezh: mobilenetv4_hybrid_large_075 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2707 - datasetA: '36.33' - datasetB: '33.49' - 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download: 7781 - datasetA: '36.24' - datasetB: '10.45' - ranking: '752' + download: 3182 + datasetA: '65.62' + datasetB: '25.1' + ranking: '124' - - nameen: resnetv2_101 - namezh: resnetv2_101 + - nameen: resnetrs50 + namezh: resnetrs50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5338 - datasetA: '36.17' - datasetB: '19.64' - ranking: '753' + download: 4209 + datasetA: '36.92' + datasetB: '25.09' + ranking: '738' - - nameen: resnetv2_101d - namezh: resnetv2_101d + - nameen: xcit_small_24_p16_224 + namezh: xcit_small_24_p16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1710 - datasetA: '36.14' - datasetB: '33.39' - ranking: '754' + download: 5111 + datasetA: '20.48' + datasetB: '25.06' + ranking: '1114' - - nameen: resnetv2_101x1_bit - namezh: resnetv2_101x1_bit + - nameen: swinv2_cr_base_384 + namezh: swinv2_cr_base_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1167 - datasetA: '36.13' - datasetB: '30.01' - ranking: '755' + download: 1327 + datasetA: '32.44' + datasetB: '25.03' + ranking: '841' - - nameen: resnetv2_101x3_bit - namezh: resnetv2_101x3_bit + - nameen: focalnet_base_lrf + namezh: focalnet_base_lrf paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9600 - datasetA: '36.06' - datasetB: '44.07' - ranking: '756' + download: 1299 + datasetA: '56.72' + datasetB: '25.02' + ranking: '317' - - nameen: resnetv2_152 - namezh: resnetv2_152 + - nameen: maxvit_rmlp_nano_rw_256 + namezh: maxvit_rmlp_nano_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3988 - datasetA: '36.03' - datasetB: '10.49' - ranking: '757' + download: 8372 + datasetA: '51.16' + datasetB: '25.02' + ranking: '446' - - nameen: resnetv2_152d - namezh: resnetv2_152d + - nameen: vit_base_patch16_18x2_224 + namezh: vit_base_patch16_18x2_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6601 - datasetA: '35.92' - datasetB: '17.64' - ranking: '758' + download: 7741 + datasetA: '28.15' + datasetB: '25.0' + ranking: '937' - - nameen: resnetv2_152x2_bit - namezh: resnetv2_152x2_bit + - nameen: densenet264d + namezh: densenet264d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9719 - datasetA: '35.85' - datasetB: '18.28' - ranking: '759' + download: 6324 + datasetA: '63.89' + datasetB: '24.95' + ranking: '160' - - nameen: resnetv2_152x4_bit - namezh: resnetv2_152x4_bit + - nameen: vitamin_large2_224 + namezh: vitamin_large2_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7444 - datasetA: '35.84' - datasetB: '34.17' - ranking: '760' + download: 2414 + datasetA: '22.67' + datasetB: '24.9' + ranking: '1064' - - nameen: resnext26ts - namezh: resnext26ts + - nameen: hrnet_w32 + namezh: hrnet_w32 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4362 - datasetA: '35.81' - datasetB: '45.77' - ranking: '761' + download: 7389 + datasetA: '53.81' + datasetB: '24.89' + ranking: '385' - - nameen: resnext50_32x4d - namezh: resnext50_32x4d + - nameen: nfnet_f6 + namezh: nfnet_f6 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9710 - datasetA: '35.8' - datasetB: '44.52' - ranking: '762' + download: 7174 + datasetA: '46.0' + datasetB: '24.86' + ranking: '569' - nameen: resnext50d_32x4d namezh: resnext50d_32x4d @@ -7666,655 +7525,655 @@ blocks: datasetB: '24.84' ranking: '763' - - nameen: resnext101_32x4d - namezh: resnext101_32x4d + - nameen: crossvit_9_240 + namezh: crossvit_9_240 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9968 - datasetA: '35.65' - datasetB: '42.93' - ranking: '764' + download: 1548 + datasetA: '67.13' + datasetB: '24.76' + ranking: '101' - - nameen: resnext101_32x8d - namezh: resnext101_32x8d + - nameen: dpn131 + namezh: dpn131 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3799 - datasetA: '35.63' - datasetB: '37.82' - ranking: '765' + download: 2927 + datasetA: '62.39' + datasetB: '24.75' + ranking: '187' - - nameen: resnext101_32x16d - namezh: resnext101_32x16d + - nameen: maxvit_large_tf_384 + namezh: maxvit_large_tf_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7955 - datasetA: '35.55' - datasetB: '10.57' - ranking: '766' + download: 4921 + datasetA: '51.24' + datasetB: '24.72' + ranking: '440' - - nameen: resnext101_32x32d - namezh: resnext101_32x32d + - nameen: sequencer2d_m + namezh: sequencer2d_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2023 - datasetA: '35.51' - datasetB: '10.15' - ranking: '767' + download: 4662 + datasetA: '34.27' + datasetB: '24.71' + ranking: '797' - - nameen: resnext101_64x4d - namezh: resnext101_64x4d + - nameen: convformer_b36 + namezh: convformer_b36 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5095 - datasetA: '35.5' - datasetB: '40.94' - ranking: '768' + download: 5480 + datasetA: '68.6' + datasetB: '24.59' + ranking: '66' - - nameen: rexnet_100 - namezh: rexnet_100 + - nameen: mobilenetv3_small_075 + namezh: mobilenetv3_small_075 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6567 - datasetA: '35.49' - datasetB: '37.92' - ranking: '769' + download: 4580 + datasetA: '48.25' + datasetB: '24.57' + ranking: '504' - - nameen: rexnet_130 - namezh: rexnet_130 + - nameen: cs3darknet_focus_x + namezh: cs3darknet_focus_x paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2939 - datasetA: '35.43' - datasetB: '41.67' - ranking: '770' + download: 9114 + datasetA: '66.11' + datasetB: '24.51' + ranking: '115' - - nameen: rexnet_150 - namezh: rexnet_150 + - nameen: swinv2_base_window16_256 + namezh: swinv2_base_window16_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9866 - datasetA: '35.41' - datasetB: '48.78' - ranking: '771' + download: 6094 + datasetA: '32.57' + datasetB: '24.49' + ranking: '839' - - nameen: rexnet_200 - namezh: rexnet_200 + - nameen: selecsls84 + namezh: selecsls84 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7519 - datasetA: '35.36' - datasetB: '25.23' - ranking: '772' + download: 9509 + datasetA: '34.58' + datasetB: '24.41' + ranking: '790' - - nameen: rexnet_300 - namezh: rexnet_300 + - nameen: resnest269e + namezh: resnest269e paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2770 - datasetA: '35.36' - datasetB: '53.86' - ranking: '773' + download: 3655 + datasetA: '39.46' + datasetB: '24.33' + ranking: '689' - - nameen: rexnetr_100 - namezh: rexnetr_100 + - nameen: swinv2_cr_large_224 + namezh: swinv2_cr_large_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1495 - datasetA: '35.29' - datasetB: '10.74' - ranking: '774' + download: 3803 + datasetA: '32.18' + datasetB: '24.29' + ranking: '847' - - nameen: rexnetr_130 - namezh: rexnetr_130 + - nameen: halo2botnet50ts_256 + namezh: halo2botnet50ts_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4008 - datasetA: '35.27' - datasetB: '16.72' - ranking: '775' + download: 8453 + datasetA: '54.91' + datasetB: '24.24' + ranking: '353' - - nameen: rexnetr_150 - namezh: rexnetr_150 + - nameen: swin_tiny_patch4_window7_224 + namezh: swin_tiny_patch4_window7_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2494 - datasetA: '35.21' - datasetB: '53.75' - ranking: '776' + download: 8135 + datasetA: '32.66' + datasetB: '24.24' + ranking: '834' - 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- nameen: samvit_base_patch16_224 - namezh: samvit_base_patch16_224 + - nameen: sebotnet33ts_256 + namezh: sebotnet33ts_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7300 - datasetA: '35.1' - datasetB: '35.62' - ranking: '780' + download: 1742 + datasetA: '34.97' + datasetB: '24.11' + ranking: '783' - - nameen: samvit_huge_patch16 - namezh: samvit_huge_patch16 + - nameen: eca_resnext26ts + namezh: eca_resnext26ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2727 - datasetA: '35.08' - datasetB: '25.36' - ranking: '781' + download: 2389 + datasetA: '62.22' + datasetB: '24.1' + ranking: '195' - - nameen: samvit_large_patch16 - namezh: samvit_large_patch16 + - nameen: levit_512d + namezh: levit_512d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1153 - datasetA: '34.99' - datasetB: '21.47' - ranking: '782' + download: 2591 + datasetA: '51.81' + datasetB: '24.07' + ranking: '425' - - nameen: sebotnet33ts_256 - namezh: sebotnet33ts_256 + - nameen: tiny_vit_5m_224 + namezh: tiny_vit_5m_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1742 - datasetA: '34.97' - datasetB: '24.11' - ranking: '783' + download: 7170 + datasetA: '29.99' + datasetB: '24.03' + ranking: '901' - - nameen: sedarknet21 - namezh: sedarknet21 + - nameen: regnety_016 + namezh: regnety_016 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4180 - datasetA: '34.97' - datasetB: '30.55' - ranking: '784' + download: 6559 + datasetA: '43.76' + datasetB: '23.99' + ranking: '618' - - nameen: sehalonet33ts - namezh: sehalonet33ts + - nameen: vit_large_patch14_reg4_dinov2 + namezh: vit_large_patch14_reg4_dinov2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5207 - datasetA: '34.86' - datasetB: '19.28' - ranking: '785' + download: 1306 + datasetA: '25.37' + datasetB: '23.94' + ranking: '998' - - nameen: selecsls42 - namezh: selecsls42 + - nameen: tf_efficientnet_b8 + namezh: tf_efficientnet_b8 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8576 - datasetA: '34.8' - datasetB: '12.17' - ranking: '786' + download: 8828 + datasetA: '31.19' + datasetB: '23.92' + ranking: '871' - - nameen: selecsls42b - namezh: selecsls42b + - nameen: xception41p + namezh: xception41p paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5226 - datasetA: '34.78' - datasetB: '33.26' - ranking: '787' + download: 5431 + datasetA: '21.45' + datasetB: '23.89' + ranking: '1092' - - nameen: selecsls60 - namezh: selecsls60 + - nameen: focalnet_xlarge_fl4 + namezh: focalnet_xlarge_fl4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6982 - datasetA: '34.77' - datasetB: '25.25' - ranking: '788' + download: 8750 + datasetA: '55.84' + datasetB: '23.88' + ranking: '328' - - nameen: selecsls60b - namezh: selecsls60b + - nameen: efficientnet_cc_b0_4e + namezh: efficientnet_cc_b0_4e paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1455 - datasetA: '34.68' - datasetB: '26.82' - ranking: '789' + download: 6141 + datasetA: '60.33' + datasetB: '23.76' + ranking: '238' - - nameen: selecsls84 - namezh: selecsls84 + - nameen: mixer_l16_224 + namezh: mixer_l16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9509 - datasetA: '34.58' - datasetB: '24.41' - ranking: '790' + download: 4678 + datasetA: '50.13' + datasetB: '23.76' + ranking: '472' - - nameen: semnasnet_050 - namezh: semnasnet_050 + - nameen: vit_so400m_patch14_siglip_gap_896 + namezh: vit_so400m_patch14_siglip_gap_896 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5084 - datasetA: '34.54' - datasetB: '13.03' - ranking: '791' + download: 4125 + datasetA: '23.12' + datasetB: '23.73' + ranking: '1054' - - nameen: semnasnet_075 - namezh: semnasnet_075 + - nameen: legacy_xception + namezh: legacy_xception paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6703 - datasetA: '34.49' - datasetB: '46.98' - ranking: '792' + download: 2727 + datasetA: '52.28' + datasetB: '23.72' + ranking: '415' - - nameen: semnasnet_100 - namezh: semnasnet_100 + - nameen: gmlp_s16_224 + namezh: gmlp_s16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6204 - datasetA: '34.44' - datasetB: '29.31' - ranking: '793' + download: 3845 + datasetA: '54.94' + datasetB: '23.66' + ranking: '351' - - nameen: semnasnet_140 - namezh: semnasnet_140 + - nameen: vit_relpos_base_patch16_rpn_224 + namezh: vit_relpos_base_patch16_rpn_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5872 - datasetA: '34.42' - datasetB: '39.0' - ranking: '794' + download: 5876 + datasetA: '24.14' + datasetB: '23.64' + ranking: '1027' - - nameen: senet154 - namezh: senet154 + - nameen: resnetv2_50d + namezh: resnetv2_50d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5778 - datasetA: '34.42' - datasetB: '26.97' - ranking: '795' + download: 9913 + datasetA: '36.46' + datasetB: '23.63' + ranking: '746' - - nameen: sequencer2d_l - namezh: sequencer2d_l + - nameen: vit_tiny_patch16_224 + namezh: vit_tiny_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9646 - datasetA: '34.39' - datasetB: '30.62' - ranking: '796' + download: 5684 + datasetA: '22.83' + datasetB: '23.62' + ranking: '1057' - - nameen: sequencer2d_m - namezh: sequencer2d_m + - nameen: vit_giant_patch14_clip_224 + namezh: vit_giant_patch14_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4662 - datasetA: '34.27' - datasetB: '24.71' - ranking: '797' + download: 5705 + datasetA: '26.08' + datasetB: '23.55' + ranking: '977' - - nameen: sequencer2d_s - namezh: sequencer2d_s + - nameen: skresnet50 + namezh: skresnet50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7368 - datasetA: '34.24' - datasetB: '13.6' - ranking: '798' + download: 4177 + datasetA: '33.63' + datasetB: '23.53' + ranking: '822' - - nameen: seresnet18 - namezh: seresnet18 + - nameen: mobilevitv2_200 + namezh: mobilevitv2_200 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3333 - datasetA: '34.17' - datasetB: '18.14' - ranking: '799' + download: 8233 + datasetA: '47.59' + datasetB: '23.44' + ranking: '529' - - nameen: seresnet33ts - namezh: seresnet33ts + - nameen: vit_small_patch16_18x2_224 + namezh: vit_small_patch16_18x2_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2200 - datasetA: '34.1' - datasetB: '16.4' - ranking: '800' + download: 7300 + datasetA: '23.62' + datasetB: '23.4' + ranking: '1037' - - nameen: seresnet34 - namezh: seresnet34 + - nameen: repghostnet_200 + namezh: repghostnet_200 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2141 - datasetA: '34.09' - datasetB: '10.63' - ranking: '801' + download: 9696 + datasetA: '42.08' + datasetB: '23.38' + ranking: '649' - - nameen: seresnet50 - namezh: seresnet50 + - nameen: volo_d2_224 + namezh: volo_d2_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5446 - datasetA: '34.08' - datasetB: '36.85' - ranking: '802' + download: 1456 + datasetA: '21.92' + datasetB: '23.37' + ranking: '1078' - - nameen: seresnet50t - namezh: seresnet50t + - nameen: coatnet_3_rw_224 + namezh: coatnet_3_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6988 - datasetA: '34.07' - datasetB: '16.83' - ranking: '803' + download: 8116 + datasetA: '69.0' + datasetB: '23.34' + ranking: '51' - - nameen: seresnet101 - namezh: seresnet101 + - nameen: mobilenet_edgetpu_v2_m + namezh: mobilenet_edgetpu_v2_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1294 - datasetA: '34.06' - datasetB: '11.12' - ranking: '804' + download: 2432 + datasetA: '48.89' + datasetB: '23.33' + ranking: '490' - - nameen: seresnet152 - namezh: seresnet152 + - nameen: resnetblur18 + namezh: resnetblur18 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7895 - datasetA: '34.05' - datasetB: '13.57' - ranking: '805' + download: 6454 + datasetA: '37.2' + datasetB: '23.3' + ranking: '734' - - nameen: seresnet152d - namezh: seresnet152d + - nameen: res2net101_26w_4s + namezh: res2net101_26w_4s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8767 - datasetA: '34.04' - datasetB: '28.04' - ranking: '806' - - - nameen: seresnet200d - namezh: seresnet200d + download: 1614 + datasetA: '40.29' + datasetB: '23.29' + ranking: '675' + + - nameen: vit_relpos_base_patch16_clsgap_224 + namezh: vit_relpos_base_patch16_clsgap_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1970 - datasetA: '34.04' - datasetB: '36.87' - ranking: '807' + download: 4035 + datasetA: '24.18' + datasetB: '23.21' + ranking: '1025' - - nameen: seresnet269d - namezh: seresnet269d + - nameen: nfnet_f7 + namezh: nfnet_f7 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5188 - datasetA: '33.93' - datasetB: '46.66' - ranking: '808' + download: 1920 + datasetA: '45.91' + datasetB: '23.16' + ranking: '570' - - nameen: seresnetaa50d - namezh: seresnetaa50d + - nameen: convnext_tiny + namezh: convnext_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6710 - datasetA: '33.92' - datasetB: '47.34' - ranking: '809' + download: 7403 + datasetA: '67.62' + datasetB: '23.07' + ranking: '88' - - nameen: seresnext26d_32x4d - namezh: seresnext26d_32x4d + - nameen: botnet50ts_256 + namezh: botnet50ts_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4911 - datasetA: '33.87' - datasetB: '28.28' - ranking: '810' + download: 2350 + datasetA: '70.48' + datasetB: '23.03' + ranking: '21' - - nameen: seresnext26t_32x4d - namezh: seresnext26t_32x4d + - nameen: edgenext_base + namezh: edgenext_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1691 - datasetA: '33.87' - datasetB: '16.99' - ranking: '811' + download: 2225 + datasetA: '61.6' + datasetB: '23.01' + ranking: '208' - - nameen: seresnext26ts - namezh: seresnext26ts + - nameen: ecaresnext26t_32x4d + namezh: ecaresnext26t_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 7317 - datasetA: '33.79' - datasetB: '14.95' - ranking: '815' + download: 6676 + datasetA: '30.34' + datasetB: '22.82' + ranking: '890' - - nameen: seresnext101_64x4d - namezh: seresnext101_64x4d + - nameen: regnetx_040 + namezh: regnetx_040 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1633 - datasetA: '33.77' - datasetB: '31.49' - ranking: '816' + download: 6611 + datasetA: '44.47' + datasetB: '22.8' + ranking: '607' - - nameen: seresnext101d_32x8d - namezh: seresnext101d_32x8d + - nameen: legacy_seresnet18 + namezh: legacy_seresnet18 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9324 - datasetA: '33.76' - datasetB: '50.87' - ranking: '817' + download: 4398 + datasetA: '52.71' + datasetB: '22.79' + ranking: '407' - - nameen: seresnextaa101d_32x8d - namezh: seresnextaa101d_32x8d + - nameen: densenetblur121d + namezh: densenetblur121d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4670 - datasetA: '33.73' - datasetB: '28.27' - ranking: '818' + download: 7592 + datasetA: '63.84' + datasetB: '22.71' + ranking: '161' - - nameen: seresnextaa201d_32x8d - namezh: seresnextaa201d_32x8d + - nameen: dm_nfnet_f2 + namezh: dm_nfnet_f2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4869 - datasetA: '33.72' - datasetB: '48.94' - ranking: '819' + download: 9381 + datasetA: '63.04' + datasetB: '22.7' + ranking: '176' - - nameen: skresnet18 - namezh: skresnet18 + - nameen: regnetx_320 + namezh: regnetx_320 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1465 - datasetA: '33.66' - datasetB: '46.55' - ranking: '820' + download: 8922 + datasetA: '43.91' + datasetB: '22.7' + ranking: '612' - - nameen: skresnet34 - namezh: skresnet34 + - nameen: swinv2_cr_small_ns_224 + namezh: swinv2_cr_small_ns_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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download: 4920 - datasetA: '33.39' - datasetB: '39.81' - ranking: '824' + download: 5229 + datasetA: '57.18' + datasetB: '22.58' + ranking: '303' - - nameen: spnasnet_100 - namezh: spnasnet_100 + - nameen: vitamin_large_224 + namezh: vitamin_large_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2344 - datasetA: '33.37' - datasetB: '25.69' - ranking: '825' + download: 7699 + datasetA: '22.52' + datasetB: '22.55' + ranking: '1068' - - nameen: swin_base_patch4_window7_224 - namezh: swin_base_patch4_window7_224 + - nameen: swinv2_cr_tiny_ns_224 + namezh: swinv2_cr_tiny_ns_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7626 - datasetA: '33.27' - datasetB: '10.74' - ranking: '826' + download: 2024 + datasetA: '31.81' + datasetB: '22.54' + ranking: '855' - - nameen: swin_base_patch4_window12_384 - namezh: swin_base_patch4_window12_384 + - nameen: vit_large_patch16_siglip_256 + namezh: vit_large_patch16_siglip_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5464 - datasetA: '33.25' - datasetB: '47.27' - ranking: '827' - - - nameen: swin_large_patch4_window7_224 - namezh: swin_large_patch4_window7_224 + download: 8341 + datasetA: '25.23' + datasetB: '22.54' + ranking: '1002' + + - nameen: resnetv2_50d_evos + namezh: resnetv2_50d_evos paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3071 - datasetA: '33.24' - datasetB: '19.34' - ranking: '828' + download: 6625 + datasetA: '36.43' + datasetB: '22.53' + ranking: '747' - nameen: swin_large_patch4_window12_384 namezh: swin_large_patch4_window12_384 @@ -8326,445 +8185,416 @@ blocks: datasetB: '22.53' ranking: '829' - - nameen: swin_s3_base_224 - namezh: swin_s3_base_224 + - nameen: halonet26t + namezh: halonet26t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4838 - datasetA: '33.17' - datasetB: '45.65' - ranking: '830' + download: 1652 + datasetA: '54.9' + datasetB: '22.51' + ranking: '354' - - nameen: swin_s3_small_224 - namezh: swin_s3_small_224 + - nameen: coatnet_rmlp_2_rw_384 + namezh: coatnet_rmlp_2_rw_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7245 - datasetA: '33.09' - datasetB: '20.6' - ranking: '831' + download: 3247 + datasetA: '68.72' + datasetB: '22.47' + ranking: '62' - - nameen: swin_s3_tiny_224 - namezh: swin_s3_tiny_224 + - nameen: dla60 + namezh: dla60 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5801 - datasetA: '32.88' - datasetB: '20.35' - ranking: '832' + download: 7339 + datasetA: '63.53' + datasetB: '22.46' + ranking: '165' - - nameen: swin_small_patch4_window7_224 - namezh: swin_small_patch4_window7_224 + - nameen: hgnetv2_b1 + namezh: hgnetv2_b1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1158 - datasetA: '32.72' - datasetB: '11.82' - ranking: '833' + download: 9670 + datasetA: '54.42' + datasetB: '22.39' + ranking: '368' - - nameen: swin_tiny_patch4_window7_224 - namezh: swin_tiny_patch4_window7_224 + - nameen: xcit_tiny_24_p8_384 + namezh: xcit_tiny_24_p8_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8135 - datasetA: '32.66' - datasetB: '24.24' - ranking: '834' + download: 5410 + datasetA: '20.32' + datasetB: '22.39' + ranking: '1121' - - nameen: swinv2_base_window8_256 - namezh: swinv2_base_window8_256 + - nameen: convnext_base + namezh: convnext_base paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3924 - datasetA: '32.66' - datasetB: '34.32' - ranking: '835' + download: 8371 + datasetA: '67.94' + datasetB: '22.26' + ranking: '78' - - nameen: swinv2_base_window12_192 - namezh: swinv2_base_window12_192 + - nameen: vit_small_patch16_224 + namezh: vit_small_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5208 - datasetA: '32.66' - datasetB: '37.24' - ranking: '836' + download: 3087 + datasetA: '23.57' + datasetB: '22.22' + ranking: '1039' - - nameen: swinv2_base_window12to16_192to256 - namezh: swinv2_base_window12to16_192to256 + - nameen: resnet101d + namezh: resnet101d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3567 - datasetA: '32.65' - datasetB: '18.4' - ranking: '837' + download: 1458 + datasetA: '37.71' + datasetB: '22.19' + ranking: '722' - - nameen: swinv2_base_window12to24_192to384 - namezh: swinv2_base_window12to24_192to384 + - nameen: hiera_huge_224 + namezh: hiera_huge_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1653 - datasetA: '32.64' - datasetB: '30.22' - ranking: '838' + download: 5055 + datasetA: '54.18' + datasetB: '22.16' + ranking: '376' - - nameen: swinv2_base_window16_256 - namezh: swinv2_base_window16_256 + - nameen: resnetaa50 + namezh: resnetaa50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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nameen: deit3_large_patch16_224 + namezh: deit3_large_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8880 - datasetA: '32.16' - datasetB: '29.44' - ranking: '848' + download: 7407 + datasetA: '64.55' + datasetB: '21.59' + ranking: '143' - - nameen: swinv2_cr_small_224 - namezh: swinv2_cr_small_224 + - nameen: dla102x + namezh: dla102x paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3701 - datasetA: '32.12' - datasetB: '24.16' - ranking: '849' + download: 3295 + datasetA: '63.32' + datasetB: '21.53' + ranking: '171' - - nameen: swinv2_cr_small_384 - namezh: swinv2_cr_small_384 + - nameen: xcit_medium_24_p8_384 + namezh: xcit_medium_24_p8_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2474 - datasetA: '32.04' - datasetB: '18.58' - ranking: '850' + download: 2120 + datasetA: '20.96' + datasetB: '21.52' + ranking: '1101' - 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- nameen: swinv2_tiny_window16_256 - namezh: swinv2_tiny_window16_256 + - nameen: legacy_seresnet152 + namezh: legacy_seresnet152 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4357 - datasetA: '31.49' - datasetB: '50.15' - ranking: '862' + download: 1015 + datasetA: '52.44' + datasetB: '21.14' + ranking: '411' - - nameen: tf_efficientnet_b0 - namezh: tf_efficientnet_b0 + - nameen: levit_conv_384 + namezh: levit_conv_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1208 - datasetA: '31.44' - datasetB: '39.05' - ranking: '863' + download: 2384 + datasetA: '51.66' + datasetB: '21.11' + ranking: '431' - - nameen: tf_efficientnet_b1 - namezh: tf_efficientnet_b1 + - nameen: caformer_s18 + namezh: caformer_s18 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5897 - datasetA: '31.44' - datasetB: '16.44' - 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download: 7402 - datasetA: '31.2' - datasetB: '36.4' - ranking: '870' - - - nameen: tf_efficientnet_b8 - namezh: tf_efficientnet_b8 - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 8828 - datasetA: '31.19' - datasetB: '23.92' - ranking: '871' - - - nameen: tf_efficientnet_cc_b0_4e - namezh: tf_efficientnet_cc_b0_4e - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 4184 - datasetA: '31.12' - datasetB: '10.34' - ranking: '872' - - - nameen: tf_efficientnet_cc_b0_8e - namezh: tf_efficientnet_cc_b0_8e - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 2047 - datasetA: '31.04' - datasetB: '37.67' - ranking: '873' + download: 5211 + datasetA: '61.85' + datasetB: '20.63' + ranking: '201' - nameen: tf_efficientnet_cc_b1_8e namezh: tf_efficientnet_cc_b1_8e @@ -8776,425 +8606,415 @@ blocks: datasetB: '20.61' ranking: '874' - - nameen: tf_efficientnet_el - namezh: tf_efficientnet_el + - nameen: fastvit_t12 + namezh: fastvit_t12 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1528 - datasetA: '30.96' - datasetB: '46.46' - ranking: '875' + download: 3771 + datasetA: '56.92' + datasetB: '20.6' + ranking: '309' - - nameen: tf_efficientnet_em - namezh: tf_efficientnet_em + - nameen: hardcorenas_c + namezh: hardcorenas_c paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9014 - datasetA: '30.94' - datasetB: '16.1' - ranking: '876' + download: 7475 + datasetA: '54.67' + datasetB: '20.6' + ranking: '360' - - nameen: tf_efficientnet_es - namezh: tf_efficientnet_es + - nameen: swin_s3_small_224 + namezh: swin_s3_small_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4534 - datasetA: '30.89' - datasetB: '12.77' - ranking: '877' + download: 7245 + datasetA: '33.09' + datasetB: '20.6' + ranking: '831' - - nameen: tf_efficientnet_l2 - namezh: tf_efficientnet_l2 + - nameen: dla46x_c + namezh: dla46x_c paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5084 - datasetA: '30.88' - datasetB: '40.8' - ranking: '878' + download: 6466 + datasetA: '63.53' + datasetB: '20.5' + ranking: '164' - - nameen: tf_efficientnet_lite0 - namezh: tf_efficientnet_lite0 + - nameen: vit_small_r26_s32_224 + namezh: vit_small_r26_s32_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8830 - datasetA: '30.85' - datasetB: '35.39' - ranking: '879' + download: 3155 + datasetA: '23.53' + datasetB: '20.5' + ranking: '1043' - - nameen: tf_efficientnet_lite1 - namezh: tf_efficientnet_lite1 + - nameen: gmlp_b16_224 + namezh: gmlp_b16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8551 - datasetA: '30.77' - datasetB: '35.38' - 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download: 2941 - datasetA: '30.61' - datasetB: '51.09' - ranking: '883' + download: 6252 + datasetA: '47.17' + datasetB: '20.44' + ranking: '538' - - nameen: tf_efficientnetv2_b0 - namezh: tf_efficientnetv2_b0 + - nameen: beitv2_base_patch16_224 + namezh: beitv2_base_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2950 - datasetA: '30.58' - datasetB: '41.1' - ranking: '884' + download: 7363 + datasetA: '70.54' + datasetB: '20.4' + ranking: '18' - - nameen: tf_efficientnetv2_b1 - namezh: tf_efficientnetv2_b1 + - nameen: tf_mobilenetv3_large_minimal_100 + namezh: tf_mobilenetv3_large_minimal_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4485 - datasetA: '30.57' - datasetB: '42.01' - ranking: '885' + download: 9443 + datasetA: '30.14' + datasetB: '20.4' + ranking: '897' - - nameen: tf_efficientnetv2_b2 - namezh: tf_efficientnetv2_b2 + - nameen: swin_s3_tiny_224 + namezh: swin_s3_tiny_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8865 - datasetA: '30.52' - datasetB: '11.27' - ranking: '886' + download: 5801 + datasetA: '32.88' + datasetB: '20.35' + ranking: '832' - - nameen: tf_efficientnetv2_b3 - namezh: tf_efficientnetv2_b3 + - nameen: xcit_small_24_p16_384 + namezh: xcit_small_24_p16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4801 - datasetA: '30.49' - datasetB: '13.25' - ranking: '887' + download: 5102 + datasetA: '20.47' + datasetB: '20.31' + ranking: '1115' - - nameen: tf_efficientnetv2_l - namezh: tf_efficientnetv2_l + - nameen: mobileone_s1 + namezh: mobileone_s1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6309 - datasetA: '30.49' - datasetB: '28.83' - ranking: '888' + download: 9036 + datasetA: '47.9' + datasetB: '20.29' + ranking: '516' - - nameen: tf_efficientnetv2_m - namezh: tf_efficientnetv2_m + - nameen: vit_huge_patch14_clip_224 + namezh: vit_huge_patch14_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2815 - datasetA: '30.48' - datasetB: '45.67' - ranking: '889' + download: 5133 + datasetA: '25.73' + datasetB: '20.25' + ranking: '984' - - nameen: tf_efficientnetv2_s - namezh: tf_efficientnetv2_s + - nameen: coat_lite_small + namezh: coat_lite_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6676 - datasetA: '30.34' - datasetB: '22.82' - ranking: '890' + download: 1387 + datasetA: '69.6' + datasetB: '20.24' + ranking: '39' - - nameen: tf_efficientnetv2_xl - namezh: tf_efficientnetv2_xl + - nameen: inception_v3 + namezh: inception_v3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4458 - datasetA: '30.31' - datasetB: '17.87' - ranking: '891' + download: 9391 + datasetA: '53.14' + datasetB: '20.06' + ranking: '395' - - nameen: tf_mixnet_l - namezh: tf_mixnet_l + - nameen: nfnet_f1 + namezh: nfnet_f1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9276 - datasetA: '30.28' - datasetB: '52.88' - ranking: '892' + download: 7460 + datasetA: '46.22' + datasetB: '20.06' + ranking: '564' - - nameen: tf_mixnet_m - namezh: tf_mixnet_m + - nameen: cs3edgenet_x + namezh: cs3edgenet_x paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8371 - datasetA: '30.18' - datasetB: '33.07' - ranking: '893' + download: 8691 + datasetA: '65.87' + datasetB: '19.96' + ranking: '120' - - nameen: tf_mixnet_s - namezh: tf_mixnet_s + - nameen: pvt_v2_b4 + namezh: pvt_v2_b4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1013 - datasetA: '30.17' - datasetB: '14.53' - ranking: '894' + download: 2273 + datasetA: '45.0' + datasetB: '19.89' + ranking: '596' - - nameen: tf_mobilenetv3_large_075 - namezh: tf_mobilenetv3_large_075 + - nameen: regnety_064 + namezh: regnety_064 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7445 - datasetA: '30.17' - datasetB: '51.5' - ranking: '895' + download: 9848 + datasetA: '43.58' + datasetB: '19.83' + ranking: '622' - - nameen: tf_mobilenetv3_large_100 - namezh: tf_mobilenetv3_large_100 + - nameen: resnet61q + namezh: resnet61q paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2764 - datasetA: '30.16' - datasetB: '17.1' - ranking: '896' + download: 4770 + datasetA: '37.99' + datasetB: '19.78' + ranking: '717' - - nameen: tf_mobilenetv3_large_minimal_100 - namezh: tf_mobilenetv3_large_minimal_100 + - nameen: mobilevitv2_075 + namezh: mobilevitv2_075 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9443 - datasetA: '30.14' - datasetB: '20.4' - ranking: '897' + download: 9545 + datasetA: '47.69' + datasetB: '19.76' + ranking: '524' - - nameen: tf_mobilenetv3_small_075 - namezh: tf_mobilenetv3_small_075 + - nameen: resnet50x16_clip_gap + namezh: resnet50x16_clip_gap paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7258 - datasetA: '30.13' - datasetB: '27.17' - ranking: '898' + download: 6746 + datasetA: '38.13' + datasetB: '19.73' + ranking: '713' - - nameen: tf_mobilenetv3_small_100 - namezh: tf_mobilenetv3_small_100 + - nameen: dla34 + namezh: dla34 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3180 - datasetA: '30.05' - datasetB: '53.17' - ranking: '899' + download: 5334 + datasetA: '63.61' + datasetB: '19.69' + ranking: '162' - - nameen: tf_mobilenetv3_small_minimal_100 - namezh: tf_mobilenetv3_small_minimal_100 + - nameen: mvitv2_tiny + namezh: mvitv2_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7491 - datasetA: '29.99' - datasetB: '32.18' - ranking: '900' + download: 8654 + datasetA: '47.21' + datasetB: '19.67' + ranking: '537' - - nameen: tiny_vit_5m_224 - namezh: tiny_vit_5m_224 + - nameen: resnetv2_101 + namezh: resnetv2_101 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7170 - datasetA: '29.99' - datasetB: '24.03' - ranking: '901' + download: 5338 + datasetA: '36.17' + datasetB: '19.64' + ranking: '753' - - nameen: tiny_vit_11m_224 - namezh: tiny_vit_11m_224 + - nameen: vit_base_resnet26d_224 + namezh: vit_base_resnet26d_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1032 - datasetA: '29.83' - datasetB: '15.45' - ranking: '902' + download: 4917 + datasetA: '26.64' + datasetB: '19.51' + ranking: '969' - - nameen: tiny_vit_21m_224 - namezh: tiny_vit_21m_224 + - nameen: eca_vovnet39b + namezh: eca_vovnet39b paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1812 - datasetA: '29.8' - datasetB: '27.28' - ranking: '903' + download: 7703 + datasetA: '62.0' + datasetB: '19.48' + ranking: '196' - - nameen: tiny_vit_21m_384 - namezh: tiny_vit_21m_384 + - nameen: efficientformerv2_s1 + namezh: efficientformerv2_s1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4286 - datasetA: '29.72' - datasetB: '18.86' - ranking: '904' + download: 7172 + datasetA: '61.3' + datasetB: '19.34' + ranking: '218' - - nameen: tiny_vit_21m_512 - namezh: tiny_vit_21m_512 + - nameen: swin_large_patch4_window7_224 + namezh: swin_large_patch4_window7_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2850 - datasetA: '29.67' - datasetB: '50.69' - ranking: '905' + download: 3071 + datasetA: '33.24' + datasetB: '19.34' + ranking: '828' - - nameen: tinynet_a - namezh: tinynet_a + - nameen: sehalonet33ts + namezh: sehalonet33ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6739 - datasetA: '29.65' - datasetB: '30.48' - ranking: '906' + download: 5207 + datasetA: '34.86' + datasetB: '19.28' + ranking: '785' - - nameen: tinynet_b - namezh: tinynet_b + - nameen: vit_base_patch16_clip_quickgelu_224 + namezh: vit_base_patch16_clip_quickgelu_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2698 - datasetA: '29.64' - datasetB: '47.82' - ranking: '907' + download: 3234 + datasetA: '28.01' + datasetB: '19.26' + ranking: '943' - - nameen: tinynet_c - namezh: tinynet_c + - nameen: samvit_base_patch16 + namezh: samvit_base_patch16 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9353 - datasetA: '29.63' - datasetB: '17.44' - ranking: '908' + download: 6916 + datasetA: '35.15' + datasetB: '19.25' + ranking: '779' - - nameen: tinynet_d - namezh: tinynet_d + - nameen: crossvit_15_dagger_408 + namezh: crossvit_15_dagger_408 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6264 - datasetA: '29.58' - datasetB: '10.1' - ranking: '909' + download: 3192 + datasetA: '66.92' + datasetB: '19.22' + ranking: '105' - - nameen: tinynet_e - namezh: tinynet_e + - nameen: nf_seresnet26 + namezh: nf_seresnet26 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1497 - datasetA: '29.55' - datasetB: '17.49' - ranking: '910' + download: 2193 + datasetA: '46.44' + datasetB: '19.17' + ranking: '560' - - nameen: tnt_b_patch16_224 - namezh: tnt_b_patch16_224 + - nameen: levit_conv_128s + namezh: levit_conv_128s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1713 - datasetA: '29.45' - datasetB: '46.02' - ranking: '911' + download: 6540 + datasetA: '51.76' + datasetB: '19.11' + ranking: '427' - - nameen: tnt_s_patch16_224 - namezh: tnt_s_patch16_224 + - nameen: hiera_base_224 + namezh: hiera_base_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4803 - datasetA: '29.42' - datasetB: '51.5' - ranking: '912' + download: 7544 + datasetA: '54.28' + datasetB: '19.07' + ranking: '374' - - nameen: tresnet_l - namezh: tresnet_l + - nameen: mixnet_l + namezh: mixnet_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7918 - datasetA: '29.39' - datasetB: '14.63' - ranking: '913' + download: 1058 + datasetA: '49.87' + datasetB: '19.03' + ranking: '476' - - nameen: tresnet_m - namezh: tresnet_m + - nameen: focalnet_tiny_lrf + namezh: focalnet_tiny_lrf paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4026 - datasetA: '29.34' - datasetB: '41.69' - ranking: '914' + download: 9414 + datasetA: '56.32' + datasetB: '19.01' + ranking: '325' - - nameen: tresnet_v2_l - namezh: tresnet_v2_l - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 5936 - datasetA: '29.31' - datasetB: '15.23' - ranking: '915' - - - nameen: tresnet_xl - namezh: tresnet_xl + - nameen: tiny_vit_21m_384 + namezh: tiny_vit_21m_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8069 - datasetA: '29.22' - datasetB: '38.12' - ranking: '916' + download: 4286 + datasetA: '29.72' + datasetB: '18.86' + ranking: '904' - nameen: twins_pcpvt_base namezh: twins_pcpvt_base @@ -9206,7535 +9026,9086 @@ blocks: datasetB: '18.76' ranking: '917' - - nameen: twins_pcpvt_large - namezh: twins_pcpvt_large + - nameen: efficientnet_b1_pruned + namezh: efficientnet_b1_pruned paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4111 - datasetA: '29.13' - datasetB: '45.06' - ranking: '918' + download: 4659 + datasetA: '61.04' + datasetB: '18.74' + ranking: '225' - - nameen: twins_pcpvt_small - namezh: twins_pcpvt_small + - nameen: efficientnetv2_rw_t + namezh: efficientnetv2_rw_t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5296 - datasetA: '29.11' - datasetB: '18.52' - ranking: '919' + download: 5694 + datasetA: '59.1' + datasetB: '18.73' + ranking: '259' - - nameen: twins_svt_base - namezh: twins_svt_base + - nameen: levit_conv_512 + namezh: levit_conv_512 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4548 - datasetA: '29.05' - datasetB: '36.71' - ranking: '920' + download: 2229 + datasetA: '51.64' + datasetB: '18.7' + ranking: '433' - - nameen: twins_svt_large - namezh: twins_svt_large + - nameen: fastvit_sa36 + namezh: fastvit_sa36 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5895 - datasetA: '29.03' - datasetB: '50.47' - ranking: '921' + download: 7970 + datasetA: '57.03' + datasetB: '18.62' + ranking: '307' - - nameen: twins_svt_small - namezh: twins_svt_small + - nameen: convmixer_1024_20_ks9_p14 + namezh: convmixer_1024_20_ks9_p14 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8262 - datasetA: '29.0' - datasetB: '35.15' - ranking: '922' + download: 5042 + datasetA: '68.32' + datasetB: '18.59' + ranking: '74' - - nameen: vgg11 - namezh: vgg11 + - nameen: swinv2_cr_small_384 + namezh: swinv2_cr_small_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3706 - datasetA: '28.99' - datasetB: '52.73' - ranking: '923' + download: 2474 + datasetA: '32.04' + datasetB: '18.58' + ranking: '850' - - nameen: vgg11_bn - namezh: vgg11_bn + - nameen: hgnetv2_b6 + namezh: hgnetv2_b6 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6962 - datasetA: '28.84' - datasetB: '50.66' - ranking: '924' + download: 2363 + datasetA: '54.29' + datasetB: '18.55' + ranking: '373' - - nameen: vgg13 - namezh: vgg13 + - nameen: twins_pcpvt_small + namezh: twins_pcpvt_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2088 - datasetA: '28.75' - datasetB: '10.83' - ranking: '925' + download: 5296 + datasetA: '29.11' + datasetB: '18.52' + ranking: '919' - - nameen: vgg13_bn - namezh: vgg13_bn + - nameen: volo_d3_224 + namezh: volo_d3_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5818 - datasetA: '28.73' - datasetB: '47.23' - ranking: '926' + download: 2621 + datasetA: '21.79' + datasetB: '18.52' + ranking: '1080' - - nameen: vgg16 - namezh: vgg16 + - nameen: regnetx_016 + namezh: regnetx_016 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8866 - datasetA: '28.72' - datasetB: '52.53' - ranking: '927' + download: 3945 + datasetA: '44.64' + datasetB: '18.49' + ranking: '605' - - nameen: vgg16_bn - namezh: vgg16_bn + - nameen: cspresnext50 + namezh: cspresnext50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7302 - datasetA: '28.4' - datasetB: '12.67' - ranking: '928' + download: 7905 + datasetA: '65.39' + datasetB: '18.44' + ranking: '129' - - nameen: vgg19 - namezh: vgg19 + - nameen: vit_base_patch16_224 + namezh: vit_base_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2616 - datasetA: '28.38' - datasetB: '53.24' - ranking: '929' + download: 3276 + datasetA: '28.1' + datasetB: '18.41' + ranking: '938' - - nameen: vgg19_bn - namezh: vgg19_bn + - nameen: maxvit_xlarge_tf_512 + namezh: maxvit_xlarge_tf_512 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5739 - datasetA: '28.36' - datasetB: '17.37' - ranking: '930' + download: 7446 + datasetA: '50.32' + datasetB: '18.4' + ranking: '462' - - nameen: visformer_small - namezh: visformer_small + - nameen: swinv2_base_window12to16_192to256 + namezh: swinv2_base_window12to16_192to256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6586 - datasetA: '28.34' - datasetB: '32.26' - ranking: '931' + download: 3567 + datasetA: '32.65' + datasetB: '18.4' + ranking: '837' - - nameen: visformer_tiny - namezh: visformer_tiny + - nameen: maxvit_large_tf_224 + namezh: maxvit_large_tf_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9773 - datasetA: '28.34' - datasetB: '14.25' - ranking: '932' + download: 2043 + datasetA: '51.27' + datasetB: '18.31' + ranking: '439' - - nameen: vit_base_mci_224 - namezh: vit_base_mci_224 + - nameen: resnetv2_152x2_bit + namezh: resnetv2_152x2_bit paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2988 - datasetA: '28.31' - datasetB: '15.79' - ranking: '933' + download: 9719 + datasetA: '35.85' + datasetB: '18.28' + ranking: '759' - - nameen: vit_base_patch8_224 - namezh: vit_base_patch8_224 + - nameen: vit_small_patch16_384 + namezh: vit_small_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6545 - datasetA: '28.31' - datasetB: '46.53' - ranking: '934' + download: 3076 + datasetA: '23.57' + datasetB: '18.21' + ranking: '1040' - - nameen: vit_base_patch14_dinov2 - namezh: vit_base_patch14_dinov2 + - nameen: seresnet18 + namezh: seresnet18 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9899 - datasetA: '28.2' - datasetB: '26.62' - ranking: '935' + download: 3333 + datasetA: '34.17' + datasetB: '18.14' + ranking: '799' - - nameen: vit_base_patch14_reg4_dinov2 - namezh: vit_base_patch14_reg4_dinov2 + - nameen: swinv2_cr_base_ns_224 + namezh: swinv2_cr_base_ns_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5022 - datasetA: '28.17' - datasetB: '16.73' - ranking: '936' + download: 9272 + datasetA: '32.39' + datasetB: '18.12' + ranking: '842' - - nameen: vit_base_patch16_18x2_224 - namezh: vit_base_patch16_18x2_224 + - nameen: repvit_m1_5 + namezh: repvit_m1_5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7741 - datasetA: '28.15' - datasetB: '25.0' - ranking: '937' + download: 8909 + datasetA: '41.02' + datasetB: '18.11' + ranking: '665' - - nameen: vit_base_patch16_224 - namezh: vit_base_patch16_224 + - nameen: efficientnetv2_l + namezh: efficientnetv2_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3276 - datasetA: '28.1' - datasetB: '18.41' - ranking: '938' + download: 2618 + datasetA: '59.26' + datasetB: '18.07' + ranking: '255' - - nameen: vit_base_patch16_224_miil - namezh: vit_base_patch16_224_miil + - nameen: dpn68 + namezh: dpn68 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8207 - datasetA: '28.09' - datasetB: '35.28' - ranking: '939' + download: 2413 + datasetA: '62.71' + datasetB: '18.01' + ranking: '182' - - nameen: vit_base_patch16_384 - namezh: vit_base_patch16_384 + - nameen: vit_base_patch16_rpn_224 + namezh: vit_base_patch16_rpn_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9484 - datasetA: '28.09' - datasetB: '31.64' - ranking: '940' + download: 7155 + datasetA: '27.64' + datasetB: '18.0' + ranking: '948' - - nameen: vit_base_patch16_clip_224 - namezh: vit_base_patch16_clip_224 + - nameen: vit_relpos_medium_patch16_224 + namezh: vit_relpos_medium_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8491 - datasetA: '28.07' - datasetB: '38.82' - ranking: '941' + download: 8277 + datasetA: '23.91' + datasetB: '17.96' + ranking: '1029' - - nameen: vit_base_patch16_clip_384 - namezh: vit_base_patch16_clip_384 + - nameen: resnetaa101d + namezh: resnetaa101d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7052 - datasetA: '28.05' - datasetB: '51.22' - ranking: '942' + download: 2785 + datasetA: '37.32' + datasetB: '17.93' + ranking: '733' - - nameen: vit_base_patch16_clip_quickgelu_224 - namezh: vit_base_patch16_clip_quickgelu_224 + - nameen: tf_efficientnetv2_xl + namezh: tf_efficientnetv2_xl paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3234 - datasetA: '28.01' - datasetB: '19.26' - ranking: '943' + download: 4458 + datasetA: '30.31' + datasetB: '17.87' + ranking: '891' - - nameen: vit_base_patch16_gap_224 - namezh: vit_base_patch16_gap_224 + - nameen: maxvit_rmlp_base_rw_384 + namezh: maxvit_rmlp_base_rw_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6760 - datasetA: '28.0' - datasetB: '47.93' - ranking: '944' + download: 9930 + datasetA: '51.17' + datasetB: '17.79' + ranking: '445' - - nameen: vit_base_patch16_plus_240 - namezh: vit_base_patch16_plus_240 + - nameen: poolformerv2_m48 + namezh: poolformerv2_m48 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6474 - datasetA: '27.91' - datasetB: '48.01' - ranking: '945' + download: 6749 + datasetA: '45.46' + datasetB: '17.76' + ranking: '587' - - nameen: vit_base_patch16_reg4_gap_256 - namezh: vit_base_patch16_reg4_gap_256 + - nameen: efficientvit_l2 + namezh: efficientvit_l2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9642 - datasetA: '27.79' - datasetB: '52.29' - ranking: '946' + download: 5348 + datasetA: '58.85' + datasetB: '17.73' + ranking: '267' - - nameen: vit_base_patch16_rope_reg1_gap_256 - namezh: vit_base_patch16_rope_reg1_gap_256 + - nameen: cait_s24_224 + namezh: cait_s24_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6153 - datasetA: '27.69' - datasetB: '35.03' - ranking: '947' + download: 9853 + datasetA: '69.98' + datasetB: '17.69' + ranking: '28' - - nameen: vit_base_patch16_rpn_224 - namezh: vit_base_patch16_rpn_224 + - nameen: cspresnet50 + namezh: cspresnet50 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7155 - datasetA: '27.64' - datasetB: '18.0' - ranking: '948' + download: 1616 + datasetA: '65.57' + datasetB: '17.69' + ranking: '126' - - nameen: vit_base_patch16_siglip_224 - namezh: vit_base_patch16_siglip_224 + - nameen: legacy_seresnext26_32x4d + namezh: legacy_seresnext26_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6358 - datasetA: '27.64' - datasetB: '49.58' - ranking: '949' + download: 6896 + datasetA: '52.43' + datasetB: '17.66' + ranking: '412' - - nameen: vit_base_patch16_siglip_256 - namezh: vit_base_patch16_siglip_256 + - nameen: convnext_atto_ols + namezh: convnext_atto_ols paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5946 - datasetA: '27.62' - datasetB: '36.86' - ranking: '950' + download: 1778 + datasetA: '68.15' + datasetB: '17.65' + ranking: '77' - - nameen: vit_base_patch16_siglip_384 - namezh: vit_base_patch16_siglip_384 + - nameen: resnetv2_152d + namezh: resnetv2_152d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7773 - datasetA: '27.56' - datasetB: '10.58' - ranking: '951' + download: 6601 + datasetA: '35.92' + datasetB: '17.64' + ranking: '758' - - nameen: vit_base_patch16_siglip_512 - namezh: vit_base_patch16_siglip_512 + - nameen: tinynet_e + namezh: tinynet_e paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9006 - datasetA: '27.54' - datasetB: '10.09' - ranking: '952' + download: 1497 + datasetA: '29.55' + datasetB: '17.49' + ranking: '910' - - nameen: vit_base_patch16_siglip_gap_224 - namezh: vit_base_patch16_siglip_gap_224 + - nameen: ecaresnetlight + namezh: ecaresnetlight paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7942 - datasetA: '27.51' - datasetB: '47.9' - ranking: '953' + download: 5227 + datasetA: '61.66' + datasetB: '17.47' + ranking: '205' - - nameen: vit_base_patch16_siglip_gap_256 - namezh: vit_base_patch16_siglip_gap_256 + - nameen: hrnet_w48_ssld + namezh: hrnet_w48_ssld paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2779 - datasetA: '27.47' - datasetB: '29.09' - ranking: '954' + download: 7917 + datasetA: '53.47' + datasetB: '17.45' + ranking: '389' - - nameen: vit_base_patch16_siglip_gap_384 - namezh: vit_base_patch16_siglip_gap_384 + - nameen: tinynet_c + namezh: tinynet_c paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9366 - datasetA: '27.29' - datasetB: '35.57' - ranking: '955' + download: 9353 + datasetA: '29.63' + datasetB: '17.44' + ranking: '908' - - nameen: vit_base_patch16_siglip_gap_512 - namezh: vit_base_patch16_siglip_gap_512 + - nameen: resmlp_big_24_224 + namezh: resmlp_big_24_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2466 - datasetA: '27.24' - datasetB: '11.37' - ranking: '956' + download: 1001 + datasetA: '39.98' + datasetB: '17.42' + ranking: '681' - - nameen: vit_base_patch16_xp_224 - namezh: vit_base_patch16_xp_224 + - nameen: vit_mediumd_patch16_reg4_gap_256 + namezh: vit_mediumd_patch16_reg4_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7992 - datasetA: '27.17' - datasetB: '49.02' - ranking: '957' + download: 2066 + datasetA: '24.46' + datasetB: '17.4' + ranking: '1020' - - nameen: vit_base_patch32_224 - namezh: vit_base_patch32_224 + - nameen: vgg19_bn + namezh: vgg19_bn paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3782 - datasetA: '27.09' - datasetB: '50.37' - ranking: '958' - - - nameen: vit_base_patch32_384 - namezh: vit_base_patch32_384 - paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 8710 - datasetA: '27.0' - datasetB: '22.62' - ranking: '959' + download: 5739 + datasetA: '28.36' + datasetB: '17.37' + ranking: '930' - - nameen: vit_base_patch32_clip_224 - namezh: vit_base_patch32_clip_224 + - nameen: efficientnet_b5 + namezh: efficientnet_b5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7544 - datasetA: '26.98' - datasetB: '49.59' - ranking: '960' + download: 4528 + datasetA: '60.61' + datasetB: '17.34' + ranking: '233' - - nameen: vit_base_patch32_clip_256 - namezh: vit_base_patch32_clip_256 + - nameen: mobilenetv2_075 + namezh: mobilenetv2_075 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3270 - datasetA: '26.97' - datasetB: '27.58' - ranking: '961' + download: 1816 + datasetA: '48.77' + datasetB: '17.26' + ranking: '495' - - nameen: vit_base_patch32_clip_384 - namezh: vit_base_patch32_clip_384 + - nameen: coatnet_5_224 + namezh: coatnet_5_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9847 - datasetA: '26.95' - datasetB: '42.8' - ranking: '962' + download: 1125 + datasetA: '68.97' + datasetB: '17.23' + ranking: '53' - - nameen: vit_base_patch32_clip_448 - namezh: vit_base_patch32_clip_448 + - nameen: beit_large_patch16_384 + namezh: beit_large_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6111 - datasetA: '26.89' - datasetB: '44.88' - ranking: '963' + download: 9974 + datasetA: '70.63' + datasetB: '17.18' + ranking: '16' - - nameen: vit_base_patch32_clip_quickgelu_224 - namezh: vit_base_patch32_clip_quickgelu_224 + - nameen: maxvit_xlarge_tf_384 + namezh: maxvit_xlarge_tf_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6229 - datasetA: '26.82' - datasetB: '38.93' - ranking: '964' + download: 3540 + datasetA: '50.34' + datasetB: '17.15' + ranking: '461' - - nameen: vit_base_patch32_plus_256 - namezh: vit_base_patch32_plus_256 + - nameen: maxxvit_rmlp_tiny_rw_256 + namezh: maxxvit_rmlp_tiny_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4083 - datasetA: '26.82' - datasetB: '50.06' - ranking: '965' + download: 9245 + datasetA: '50.27' + datasetB: '17.12' + ranking: '465' - - nameen: vit_base_r26_s32_224 - namezh: vit_base_r26_s32_224 + - nameen: tf_mobilenetv3_large_100 + namezh: tf_mobilenetv3_large_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4433 - datasetA: '26.79' - datasetB: '29.1' - ranking: '966' + download: 2764 + datasetA: '30.16' + datasetB: '17.1' + ranking: '896' - - nameen: vit_base_r50_s16_224 - namezh: vit_base_r50_s16_224 + - nameen: resnet200 + namezh: resnet200 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8407 - datasetA: '26.75' - datasetB: '33.6' - ranking: '967' + download: 2204 + datasetA: '37.41' + datasetB: '17.09' + ranking: '728' - - nameen: vit_base_r50_s16_384 - namezh: vit_base_r50_s16_384 + - nameen: ese_vovnet19b_slim + namezh: ese_vovnet19b_slim paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6104 - datasetA: '26.72' - datasetB: '36.03' - ranking: '968' + download: 4218 + datasetA: '58.37' + datasetB: '17.08' + ranking: '276' - - nameen: vit_base_resnet26d_224 - namezh: vit_base_resnet26d_224 + - nameen: coatnet_2_224 + namezh: coatnet_2_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4917 - datasetA: '26.64' - datasetB: '19.51' - ranking: '969' + download: 9574 + datasetA: '69.06' + datasetB: '17.07' + ranking: '48' - - nameen: vit_base_resnet50d_224 - namezh: vit_base_resnet50d_224 + - nameen: resnet101c + namezh: resnet101c paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4150 - datasetA: '26.61' - datasetB: '34.82' - ranking: '970' + download: 8748 + datasetA: '37.76' + datasetB: '17.05' + ranking: '721' - - nameen: vit_betwixt_patch16_gap_256 - namezh: vit_betwixt_patch16_gap_256 + - nameen: ecaresnext50t_32x4d + namezh: ecaresnext50t_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5527 - datasetA: '26.56' - datasetB: '35.97' - ranking: '971' + download: 1113 + datasetA: '61.62' + datasetB: '17.04' + ranking: '207' - - nameen: vit_betwixt_patch16_reg1_gap_256 - namezh: vit_betwixt_patch16_reg1_gap_256 + - nameen: vit_relpos_medium_patch16_rpn_224 + namezh: vit_relpos_medium_patch16_rpn_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5361 - datasetA: '26.56' - datasetB: '50.62' - ranking: '972' + download: 4957 + datasetA: '23.8' + datasetB: '17.03' + ranking: '1031' - - nameen: vit_betwixt_patch16_reg4_gap_256 - namezh: vit_betwixt_patch16_reg4_gap_256 + - nameen: maxxvit_rmlp_nano_rw_256 + namezh: maxxvit_rmlp_nano_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1761 - datasetA: '26.35' - datasetB: '31.31' - ranking: '973' + download: 5541 + datasetA: '50.31' + datasetB: '17.0' + ranking: '463' - - nameen: vit_betwixt_patch16_rope_reg4_gap_256 - namezh: vit_betwixt_patch16_rope_reg4_gap_256 + - nameen: seresnext26t_32x4d + namezh: seresnext26t_32x4d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8625 - datasetA: '26.32' - datasetB: '27.89' - ranking: '974' + download: 1691 + datasetA: '33.87' + datasetB: '16.99' + ranking: '811' - - nameen: vit_betwixt_patch32_clip_224 - namezh: vit_betwixt_patch32_clip_224 + - nameen: mobilenetv2_140 + namezh: mobilenetv2_140 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7530 - datasetA: '26.26' - datasetB: '29.83' - ranking: '975' + download: 8402 + datasetA: '48.54' + datasetB: '16.95' + ranking: '499' - - nameen: vit_giant_patch14_224 - namezh: vit_giant_patch14_224 + - nameen: res2net50_26w_8s + namezh: res2net50_26w_8s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9784 - datasetA: '26.17' - datasetB: '40.35' - ranking: '976' + download: 8939 + datasetA: '40.62' + datasetB: '16.95' + ranking: '672' - - nameen: vit_giant_patch14_clip_224 - namezh: vit_giant_patch14_clip_224 + - nameen: mvitv2_base_cls + namezh: mvitv2_base_cls paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5705 - datasetA: '26.08' - datasetB: '23.55' - ranking: '977' + download: 8154 + datasetA: '47.47' + datasetB: '16.93' + ranking: '531' - - nameen: vit_giant_patch14_dinov2 - namezh: vit_giant_patch14_dinov2 + - nameen: eca_nfnet_l2 + namezh: eca_nfnet_l2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7502 - datasetA: '26.03' - datasetB: '30.46' - ranking: '978' + download: 3293 + datasetA: '62.27' + datasetB: '16.89' + ranking: '192' - - nameen: vit_giant_patch14_reg4_dinov2 - namezh: vit_giant_patch14_reg4_dinov2 + - nameen: seresnet50t + namezh: seresnet50t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4041 - datasetA: '26.01' - datasetB: '44.16' - ranking: '979' + download: 6988 + datasetA: '34.07' + datasetB: '16.83' + ranking: '803' - - nameen: vit_giant_patch16_gap_224 - namezh: vit_giant_patch16_gap_224 + - nameen: vit_medium_patch16_gap_256 + namezh: vit_medium_patch16_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2563 - datasetA: '26.0' - datasetB: '27.94' - ranking: '980' + download: 2596 + datasetA: '24.82' + datasetB: '16.79' + ranking: '1014' - - nameen: vit_gigantic_patch14_224 - namezh: vit_gigantic_patch14_224 + - nameen: vit_base_patch14_reg4_dinov2 + namezh: vit_base_patch14_reg4_dinov2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8573 - datasetA: '25.89' - datasetB: '36.4' - ranking: '981' + download: 5022 + datasetA: '28.17' + datasetB: '16.73' + ranking: '936' - - nameen: vit_gigantic_patch14_clip_224 - namezh: vit_gigantic_patch14_clip_224 + - nameen: deit3_medium_patch16_224 + namezh: deit3_medium_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7998 - datasetA: '25.84' - datasetB: '45.27' - ranking: '982' + download: 6216 + datasetA: '64.54' + datasetB: '16.72' + ranking: '145' - - nameen: vit_huge_patch14_224 - namezh: vit_huge_patch14_224 + - nameen: rexnetr_130 + namezh: rexnetr_130 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5096 - datasetA: '25.81' - datasetB: '16.0' - ranking: '983' + download: 4008 + datasetA: '35.27' + datasetB: '16.72' + ranking: '775' - - nameen: vit_huge_patch14_clip_224 - namezh: vit_huge_patch14_clip_224 + - nameen: mnasnet_050 + namezh: mnasnet_050 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5133 - datasetA: '25.73' - datasetB: '20.25' - ranking: '984' + download: 9409 + datasetA: '49.53' + datasetB: '16.7' + ranking: '481' - - nameen: vit_huge_patch14_clip_336 - namezh: vit_huge_patch14_clip_336 + - nameen: convnext_femto + namezh: convnext_femto paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9174 - datasetA: '25.67' - datasetB: '28.71' - ranking: '985' + download: 8793 + datasetA: '67.84' + datasetB: '16.68' + ranking: '79' - - nameen: vit_huge_patch14_clip_378 - namezh: vit_huge_patch14_clip_378 + - nameen: dm_nfnet_f3 + namezh: dm_nfnet_f3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1460 - datasetA: '25.65' - datasetB: '20.47' - ranking: '986' + download: 4914 + datasetA: '62.97' + datasetB: '16.61' + ranking: '177' - - nameen: vit_huge_patch14_clip_quickgelu_224 - namezh: vit_huge_patch14_clip_quickgelu_224 + - nameen: mobilevitv2_125 + namezh: mobilevitv2_125 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1992 - datasetA: '25.65' - datasetB: '42.69' - ranking: '987' + download: 6445 + datasetA: '47.66' + datasetB: '16.57' + ranking: '526' - - nameen: vit_huge_patch14_clip_quickgelu_378 - namezh: vit_huge_patch14_clip_quickgelu_378 + - nameen: vit_medium_patch16_reg1_gap_256 + namezh: vit_medium_patch16_reg1_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5896 - datasetA: '25.62' - datasetB: '40.82' - ranking: '988' + download: 9173 + datasetA: '24.55' + datasetB: '16.55' + ranking: '1016' - - nameen: vit_huge_patch14_gap_224 - namezh: vit_huge_patch14_gap_224 + - nameen: repvgg_a2 + namezh: repvgg_a2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3688 - datasetA: '25.6' - datasetB: '40.84' - ranking: '989' + download: 9996 + datasetA: '42.0' + datasetB: '16.52' + ranking: '652' - - nameen: vit_huge_patch14_xp_224 - namezh: vit_huge_patch14_xp_224 + - nameen: tf_efficientnet_b1 + namezh: tf_efficientnet_b1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6348 - datasetA: '25.56' - datasetB: '32.03' - ranking: '990' + download: 5897 + datasetA: '31.44' + datasetB: '16.44' + ranking: '864' - - nameen: vit_huge_patch16_gap_448 - namezh: vit_huge_patch16_gap_448 + - nameen: seresnet33ts + namezh: seresnet33ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7696 - datasetA: '25.53' - datasetB: '25.57' - ranking: '991' + download: 2200 + datasetA: '34.1' + datasetB: '16.4' + ranking: '800' - - nameen: vit_large_patch14_224 - namezh: vit_large_patch14_224 + - nameen: inception_v4 + namezh: inception_v4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3587 - datasetA: '25.47' - datasetB: '39.94' - ranking: '992' + download: 2825 + datasetA: '53.11' + datasetB: '16.29' + ranking: '396' - - nameen: vit_large_patch14_clip_224 - namezh: vit_large_patch14_clip_224 + - nameen: davit_huge + namezh: davit_huge paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6976 - datasetA: '25.46' - datasetB: '15.03' - ranking: '993' + download: 8288 + datasetA: '64.95' + datasetB: '16.26' + ranking: '136' - - nameen: vit_large_patch14_clip_336 - namezh: vit_large_patch14_clip_336 + - nameen: xcit_large_24_p16_384 + namezh: xcit_large_24_p16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6371 - datasetA: '25.45' - datasetB: '28.7' - ranking: '994' + download: 2886 + datasetA: '20.99' + datasetB: '16.19' + ranking: '1099' - - nameen: vit_large_patch14_clip_quickgelu_224 - namezh: vit_large_patch14_clip_quickgelu_224 + - nameen: ecaresnet269d + namezh: ecaresnet269d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9107 - datasetA: '25.45' - datasetB: '27.22' - ranking: '995' + download: 3797 + datasetA: '61.69' + datasetB: '16.13' + ranking: '204' - - nameen: vit_large_patch14_clip_quickgelu_336 - namezh: vit_large_patch14_clip_quickgelu_336 + - nameen: tf_efficientnet_em + namezh: tf_efficientnet_em paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7317 - datasetA: '25.42' - datasetB: '52.52' - ranking: '996' + download: 9014 + datasetA: '30.94' + datasetB: '16.1' + ranking: '876' - - nameen: vit_large_patch14_dinov2 - namezh: vit_large_patch14_dinov2 + - nameen: swinv2_large_window12to16_192to256 + namezh: swinv2_large_window12to16_192to256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6094 - datasetA: '25.41' - datasetB: '47.71' - ranking: '997' + download: 9615 + datasetA: '31.78' + datasetB: '16.06' + ranking: '857' - - nameen: vit_large_patch14_reg4_dinov2 - namezh: vit_large_patch14_reg4_dinov2 + - nameen: vit_huge_patch14_224 + namezh: vit_huge_patch14_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1306 - datasetA: '25.37' - datasetB: '23.94' - ranking: '998' + download: 5096 + datasetA: '25.81' + datasetB: '16.0' + ranking: '983' - - nameen: vit_large_patch14_xp_224 - namezh: vit_large_patch14_xp_224 + - nameen: mobilevitv2_100 + namezh: mobilevitv2_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1532 - datasetA: '25.37' - datasetB: '28.67' - ranking: '999' + download: 4492 + datasetA: '47.66' + datasetB: '15.98' + ranking: '525' - - nameen: vit_large_patch16_224 - namezh: vit_large_patch16_224 + - nameen: mobilenet_edgetpu_100 + namezh: mobilenet_edgetpu_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1437 - datasetA: '25.33' - datasetB: '14.4' - ranking: '1000' + download: 9858 + datasetA: '49.05' + datasetB: '15.93' + ranking: '488' - - nameen: vit_large_patch16_384 - namezh: vit_large_patch16_384 + - nameen: wide_resnet50_2 + namezh: wide_resnet50_2 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6701 - datasetA: '25.3' - datasetB: '42.05' - ranking: '1001' + download: 6848 + datasetA: '21.48' + datasetB: '15.92' + ranking: '1089' - - nameen: vit_large_patch16_siglip_256 - namezh: vit_large_patch16_siglip_256 + - nameen: coat_tiny + namezh: coat_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8341 - datasetA: '25.23' - datasetB: '22.54' - ranking: '1002' + download: 4899 + datasetA: '69.44' + datasetB: '15.89' + ranking: '43' - - nameen: vit_large_patch16_siglip_384 - namezh: vit_large_patch16_siglip_384 + - nameen: cait_xxs24_384 + namezh: cait_xxs24_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1632 - datasetA: '25.2' - datasetB: '25.91' - ranking: '1003' + download: 8056 + datasetA: '69.9' + datasetB: '15.86' + ranking: '33' - - nameen: vit_large_patch16_siglip_gap_256 - namezh: vit_large_patch16_siglip_gap_256 + - nameen: repghostnet_130 + namezh: repghostnet_130 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8670 - datasetA: '25.19' - datasetB: '15.36' - ranking: '1004' + download: 6732 + datasetA: '42.17' + datasetB: '15.85' + ranking: '647' - - nameen: vit_large_patch16_siglip_gap_384 - namezh: vit_large_patch16_siglip_gap_384 + - nameen: levit_192 + namezh: levit_192 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5054 - datasetA: '25.09' - datasetB: '43.68' - ranking: '1005' + download: 5713 + datasetA: '52.15' + datasetB: '15.84' + ranking: '418' - - nameen: vit_large_patch32_224 - namezh: vit_large_patch32_224 + - nameen: vit_base_mci_224 + namezh: vit_base_mci_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4593 - datasetA: '25.09' - datasetB: '10.85' - ranking: '1006' + download: 2988 + datasetA: '28.31' + datasetB: '15.79' + ranking: '933' - - nameen: vit_large_patch32_384 - namezh: vit_large_patch32_384 + - nameen: vit_tiny_r_s16_p8_224 + namezh: vit_tiny_r_s16_p8_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5439 - datasetA: '25.08' - datasetB: '49.6' - ranking: '1007' + download: 8005 + datasetA: '22.81' + datasetB: '15.71' + ranking: '1059' - - nameen: vit_large_r50_s32_224 - namezh: vit_large_r50_s32_224 + - nameen: convnext_atto + namezh: convnext_atto paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5815 - datasetA: '25.07' - datasetB: '52.49' - ranking: '1008' + download: 2263 + datasetA: '68.19' + datasetB: '15.68' + ranking: '76' - - nameen: vit_large_r50_s32_384 - namezh: vit_large_r50_s32_384 + - nameen: regnetv_064 + namezh: regnetv_064 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7661 - datasetA: '24.98' - datasetB: '27.1' - ranking: '1009' + download: 8594 + datasetA: '44.97' + datasetB: '15.52' + ranking: '599' - - nameen: vit_little_patch16_reg1_gap_256 - namezh: vit_little_patch16_reg1_gap_256 + - nameen: cs3darknet_s + namezh: cs3darknet_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8910 - datasetA: '24.98' - datasetB: '30.21' - ranking: '1010' + download: 7192 + datasetA: '65.94' + datasetB: '15.49' + ranking: '118' - - nameen: vit_little_patch16_reg4_gap_256 - namezh: vit_little_patch16_reg4_gap_256 + - nameen: maxvit_rmlp_tiny_rw_256 + namezh: maxvit_rmlp_tiny_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6811 - datasetA: '24.95' - datasetB: '28.61' - ranking: '1011' + download: 5659 + datasetA: '50.91' + datasetB: '15.49' + ranking: '450' - - nameen: vit_medium_patch16_clip_224 - namezh: vit_medium_patch16_clip_224 + - nameen: tiny_vit_11m_224 + namezh: tiny_vit_11m_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2060 - datasetA: '24.95' - datasetB: '32.95' - ranking: '1012' + download: 1032 + datasetA: '29.83' + datasetB: '15.45' + ranking: '902' - - nameen: vit_medium_patch16_gap_240 - namezh: vit_medium_patch16_gap_240 + - nameen: vit_mediumd_patch16_rope_reg1_gap_256 + namezh: vit_mediumd_patch16_rope_reg1_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9115 - datasetA: '24.93' - datasetB: '25.33' - ranking: '1013' + download: 7580 + datasetA: '24.37' + datasetB: '15.43' + ranking: '1021' - - nameen: vit_medium_patch16_gap_256 - namezh: vit_medium_patch16_gap_256 + - nameen: convnext_large + namezh: convnext_large paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2596 - datasetA: '24.82' - datasetB: '16.79' - ranking: '1014' + download: 3415 + datasetA: '67.8' + datasetB: '15.4' + ranking: '81' - - nameen: vit_medium_patch16_gap_384 - namezh: vit_medium_patch16_gap_384 + - nameen: mobilenetv3_large_100 + namezh: mobilenetv3_large_100 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2202 - datasetA: '24.78' - datasetB: '53.17' - ranking: '1015' + download: 2993 + datasetA: '48.42' + datasetB: '15.39' + ranking: '501' - - nameen: vit_medium_patch16_reg1_gap_256 - namezh: vit_medium_patch16_reg1_gap_256 + - nameen: vit_large_patch16_siglip_gap_256 + namezh: vit_large_patch16_siglip_gap_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9173 - datasetA: '24.55' - datasetB: '16.55' - ranking: '1016' + download: 8670 + datasetA: '25.19' + datasetB: '15.36' + ranking: '1004' - - nameen: vit_medium_patch16_reg4_gap_256 - namezh: vit_medium_patch16_reg4_gap_256 + - nameen: regnety_1280 + namezh: regnety_1280 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4001 - datasetA: '24.51' - datasetB: '20.66' - ranking: '1017' + download: 6559 + datasetA: '43.25' + datasetB: '15.3' + ranking: '629' - - nameen: vit_medium_patch16_rope_reg1_gap_256 - namezh: vit_medium_patch16_rope_reg1_gap_256 + - nameen: mixnet_m + namezh: mixnet_m paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7440 - datasetA: '24.5' - datasetB: '45.73' - ranking: '1018' + download: 7289 + datasetA: '49.87' + datasetB: '15.27' + ranking: '477' - - nameen: vit_medium_patch32_clip_224 - namezh: vit_medium_patch32_clip_224 + - nameen: tresnet_v2_l + namezh: tresnet_v2_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6674 - datasetA: '24.47' - datasetB: '52.47' - ranking: '1019' + download: 5936 + datasetA: '29.31' + datasetB: '15.23' + ranking: '915' - - nameen: vit_mediumd_patch16_reg4_gap_256 - namezh: vit_mediumd_patch16_reg4_gap_256 + - nameen: mobilenetv2_050 + namezh: mobilenetv2_050 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2066 - datasetA: '24.46' - datasetB: '17.4' - ranking: '1020' + download: 6166 + datasetA: '48.82' + datasetB: '15.17' + ranking: '494' - - nameen: vit_mediumd_patch16_rope_reg1_gap_256 - namezh: vit_mediumd_patch16_rope_reg1_gap_256 + - nameen: levit_conv_256d + namezh: levit_conv_256d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7580 - datasetA: '24.37' - datasetB: '15.43' - ranking: '1021' + download: 9168 + datasetA: '51.7' + datasetB: '15.14' + ranking: '430' - - nameen: vit_pwee_patch16_reg1_gap_256 - namezh: vit_pwee_patch16_reg1_gap_256 + - nameen: bat_resnext26ts + namezh: bat_resnext26ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7248 - datasetA: '24.25' - datasetB: '25.64' - ranking: '1022' + download: 3336 + datasetA: '70.72' + datasetB: '15.13' + ranking: '12' - - nameen: vit_relpos_base_patch16_224 - namezh: vit_relpos_base_patch16_224 + - nameen: regnetx_120 + namezh: regnetx_120 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9287 - datasetA: '24.23' - datasetB: '10.76' - ranking: '1023' + download: 2296 + datasetA: '44.39' + datasetB: '15.04' + ranking: '610' - - nameen: vit_relpos_base_patch16_cls_224 - namezh: vit_relpos_base_patch16_cls_224 + - nameen: vit_large_patch14_clip_224 + namezh: vit_large_patch14_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1001 - datasetA: '24.2' - datasetB: '46.97' - ranking: '1024' + download: 6976 + datasetA: '25.46' + datasetB: '15.03' + ranking: '993' - - nameen: vit_relpos_base_patch16_clsgap_224 - namezh: vit_relpos_base_patch16_clsgap_224 + - nameen: seresnext101_32x8d + namezh: seresnext101_32x8d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4035 - datasetA: '24.18' - datasetB: '23.21' - ranking: '1025' + download: 7317 + datasetA: '33.79' + datasetB: '14.95' + ranking: '815' - - nameen: vit_relpos_base_patch16_plus_240 - namezh: vit_relpos_base_patch16_plus_240 + - nameen: halonet50ts + namezh: halonet50ts paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3692 - datasetA: '24.16' - datasetB: '26.36' - ranking: '1026' + download: 7221 + datasetA: '54.87' + datasetB: '14.93' + ranking: '355' - - nameen: vit_relpos_base_patch16_rpn_224 - namezh: vit_relpos_base_patch16_rpn_224 + - nameen: convnext_nano_ols + namezh: convnext_nano_ols paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5876 - datasetA: '24.14' - datasetB: '23.64' - ranking: '1027' + download: 6409 + datasetA: '67.72' + datasetB: '14.8' + ranking: '84' - - nameen: vit_relpos_base_patch32_plus_rpn_256 - namezh: vit_relpos_base_patch32_plus_rpn_256 + - nameen: resnetv2_50d_frn + namezh: resnetv2_50d_frn paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5088 - datasetA: '24.08' - datasetB: '40.0' - ranking: '1028' + download: 6796 + datasetA: '36.42' + datasetB: '14.77' + ranking: '748' - - nameen: vit_relpos_medium_patch16_224 - namezh: vit_relpos_medium_patch16_224 + - nameen: resnest50d_1s4x24d + namezh: resnest50d_1s4x24d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8277 - datasetA: '23.91' - datasetB: '17.96' - ranking: '1029' + download: 8549 + datasetA: '39.64' + datasetB: '14.75' + ranking: '685' - - nameen: vit_relpos_medium_patch16_cls_224 - namezh: vit_relpos_medium_patch16_cls_224 + - nameen: beitv2_large_patch16_224 + namezh: beitv2_large_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4588 - datasetA: '23.91' - datasetB: '45.61' - ranking: '1030' + download: 7756 + datasetA: '70.53' + datasetB: '14.67' + ranking: '19' - - nameen: vit_relpos_medium_patch16_rpn_224 - namezh: vit_relpos_medium_patch16_rpn_224 + - nameen: maxvit_rmlp_small_rw_224 + namezh: maxvit_rmlp_small_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4957 - datasetA: '23.8' - datasetB: '17.03' - ranking: '1031' + download: 7878 + datasetA: '51.01' + datasetB: '14.63' + ranking: '448' - - nameen: vit_relpos_small_patch16_224 - namezh: vit_relpos_small_patch16_224 + - nameen: tresnet_l + namezh: tresnet_l paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3284 - datasetA: '23.79' - datasetB: '20.47' - ranking: '1032' + download: 7918 + datasetA: '29.39' + datasetB: '14.63' + ranking: '913' - - nameen: vit_relpos_small_patch16_rpn_224 - namezh: vit_relpos_small_patch16_rpn_224 + - nameen: poolformerv2_s24 + namezh: poolformerv2_s24 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1106 - datasetA: '23.76' - datasetB: '38.02' - ranking: '1033' + download: 7830 + datasetA: '45.29' + datasetB: '14.62' + ranking: '589' - - nameen: vit_small_patch8_224 - namezh: vit_small_patch8_224 + - nameen: maxvit_base_tf_512 + namezh: maxvit_base_tf_512 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3435 - datasetA: '23.73' - datasetB: '40.42' - ranking: '1034' + download: 2573 + datasetA: '51.34' + datasetB: '14.61' + ranking: '438' - - nameen: vit_small_patch14_dinov2 - namezh: vit_small_patch14_dinov2 + - nameen: beit_base_patch16_384 + namezh: beit_base_patch16_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8752 - datasetA: '23.72' - datasetB: '43.14' - ranking: '1035' + download: 4529 + datasetA: '70.67' + datasetB: '14.6' + ranking: '14' - - nameen: vit_small_patch14_reg4_dinov2 - namezh: vit_small_patch14_reg4_dinov2 + - nameen: tf_mixnet_s + namezh: tf_mixnet_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6929 - datasetA: '23.72' - datasetB: '47.6' - ranking: '1036' + download: 1013 + datasetA: '30.17' + datasetB: '14.53' + ranking: '894' - - nameen: vit_small_patch16_18x2_224 - namezh: vit_small_patch16_18x2_224 + - nameen: coat_lite_medium_384 + namezh: coat_lite_medium_384 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7300 - datasetA: '23.62' - datasetB: '23.4' - ranking: '1037' + download: 3986 + datasetA: '69.64' + datasetB: '14.49' + ranking: '37' - - nameen: vit_small_patch16_36x1_224 - namezh: vit_small_patch16_36x1_224 + - nameen: vitamin_large_256 + namezh: vitamin_large_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5859 - datasetA: '23.58' - datasetB: '47.26' - ranking: '1038' + download: 9455 + datasetA: '22.51' + datasetB: '14.43' + ranking: '1069' - - nameen: vit_small_patch16_224 - namezh: vit_small_patch16_224 + - nameen: vit_large_patch16_224 + namezh: vit_large_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3087 - datasetA: '23.57' - datasetB: '22.22' - ranking: '1039' + download: 1437 + datasetA: '25.33' + datasetB: '14.4' + ranking: '1000' - - nameen: vit_small_patch16_384 - namezh: vit_small_patch16_384 + - nameen: fastvit_sa24 + namezh: fastvit_sa24 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3076 - datasetA: '23.57' - datasetB: '18.21' - ranking: '1040' + download: 2057 + datasetA: '57.03' + datasetB: '14.3' + ranking: '306' - - nameen: vit_small_patch32_224 - namezh: vit_small_patch32_224 + - nameen: eva02_enormous_patch14_clip_224 + namezh: eva02_enormous_patch14_clip_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7722 - datasetA: '23.57' - datasetB: '37.32' - ranking: '1041' + download: 2678 + datasetA: '58.01' + datasetB: '14.27' + ranking: '285' - - nameen: vit_small_patch32_384 - namezh: vit_small_patch32_384 + - nameen: focalnet_small_lrf + namezh: focalnet_small_lrf paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4495 - datasetA: '23.55' - datasetB: '50.24' - ranking: '1042' + download: 7372 + datasetA: '56.55' + datasetB: '14.27' + ranking: '323' - - nameen: vit_small_r26_s32_224 - namezh: vit_small_r26_s32_224 + - nameen: resnet10t + namezh: resnet10t paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3155 - datasetA: '23.53' - datasetB: '20.5' - ranking: '1043' + download: 8775 + datasetA: '39.43' + datasetB: '14.27' + ranking: '690' - - nameen: vit_small_r26_s32_384 - namezh: vit_small_r26_s32_384 + - nameen: visformer_tiny + namezh: visformer_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 1069 - datasetA: '23.49' - datasetB: '42.69' - ranking: '1044' + download: 9773 + datasetA: '28.34' + datasetB: '14.25' + ranking: '932' - - nameen: vit_small_resnet26d_224 - namezh: vit_small_resnet26d_224 + - nameen: resnetrs350 + namezh: resnetrs350 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8015 - datasetA: '23.49' - datasetB: '51.99' - ranking: '1045' + download: 8495 + datasetA: '36.64' + datasetB: '14.19' + ranking: '743' - - nameen: vit_small_resnet50d_s16_224 - namezh: vit_small_resnet50d_s16_224 + - nameen: regnety_320 + namezh: regnety_320 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7797 - datasetA: '23.49' - datasetB: '12.19' - ranking: '1046' + download: 5109 + datasetA: '43.36' + datasetB: '14.16' + ranking: '627' - - nameen: vit_so150m_patch16_reg4_gap_256 - namezh: vit_so150m_patch16_reg4_gap_256 + - nameen: regnetx_160 + namezh: regnetx_160 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4222 - datasetA: '23.46' - datasetB: '34.41' - ranking: '1047' + download: 5256 + datasetA: '43.98' + datasetB: '14.07' + ranking: '611' - - nameen: vit_so150m_patch16_reg4_map_256 - namezh: vit_so150m_patch16_reg4_map_256 + - nameen: levit_conv_512_s8 + namezh: levit_conv_512_s8 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9738 - datasetA: '23.33' - datasetB: '33.56' - ranking: '1048' + download: 6790 + datasetA: '51.62' + datasetB: '14.01' + ranking: '434' - - nameen: vit_so400m_patch14_siglip_224 - namezh: vit_so400m_patch14_siglip_224 + - nameen: gcvit_tiny + namezh: gcvit_tiny paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2525 - datasetA: '23.31' - datasetB: '26.21' - ranking: '1049' + download: 4031 + datasetA: '55.55' + datasetB: '13.97' + ranking: '336' - - nameen: vit_so400m_patch14_siglip_384 - namezh: vit_so400m_patch14_siglip_384 + - nameen: efficientnet_h_b5 + namezh: efficientnet_h_b5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5402 - datasetA: '23.3' - datasetB: '48.79' - ranking: '1050' + download: 3350 + datasetA: '59.91' + datasetB: '13.91' + ranking: '246' - - nameen: vit_so400m_patch14_siglip_gap_224 - namezh: vit_so400m_patch14_siglip_gap_224 + - nameen: resnet101_clip + namezh: resnet101_clip paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 3117 - datasetA: '23.29' - datasetB: '38.33' - ranking: '1051' + download: 6925 + datasetA: '37.8' + datasetB: '13.66' + ranking: '719' - - nameen: vit_so400m_patch14_siglip_gap_384 - namezh: vit_so400m_patch14_siglip_gap_384 + - nameen: vitamin_large2_336 + namezh: vitamin_large2_336 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4731 - datasetA: '23.21' - datasetB: '52.26' - ranking: '1052' + download: 5699 + datasetA: '22.65' + datasetB: '13.62' + ranking: '1066' - - nameen: vit_so400m_patch14_siglip_gap_448 - namezh: vit_so400m_patch14_siglip_gap_448 + - nameen: sequencer2d_s + namezh: sequencer2d_s paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5749 - datasetA: '23.15' - datasetB: '40.15' - ranking: '1053' + download: 7368 + datasetA: '34.24' + datasetB: '13.6' + ranking: '798' - - nameen: vit_so400m_patch14_siglip_gap_896 - namezh: vit_so400m_patch14_siglip_gap_896 + - nameen: seresnet152 + namezh: seresnet152 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4125 - datasetA: '23.12' - datasetB: '23.73' - ranking: '1054' + download: 7895 + datasetA: '34.05' + datasetB: '13.57' + ranking: '805' - - nameen: vit_srelpos_medium_patch16_224 - namezh: vit_srelpos_medium_patch16_224 + - nameen: repvit_m1_1 + namezh: repvit_m1_1 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9520 - datasetA: '23.12' - datasetB: '35.39' - ranking: '1055' + download: 7066 + datasetA: '41.18' + datasetB: '13.56' + ranking: '664' - - nameen: vit_srelpos_small_patch16_224 - namezh: vit_srelpos_small_patch16_224 + - nameen: resnetaa34d + namezh: resnetaa34d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8476 - datasetA: '22.86' - datasetB: '43.62' - ranking: '1056' + download: 1947 + datasetA: '37.37' + datasetB: '13.51' + ranking: '730' - - nameen: vit_tiny_patch16_224 - namezh: vit_tiny_patch16_224 + - nameen: mobilenetv4_conv_small + namezh: mobilenetv4_conv_small paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5684 - datasetA: '22.83' - datasetB: '23.62' - ranking: '1057' + download: 4866 + datasetA: '48.08' + datasetB: '13.4' + ranking: '510' - - nameen: vit_tiny_patch16_384 - namezh: vit_tiny_patch16_384 + - nameen: hgnetv2_b4 + namezh: hgnetv2_b4 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5972 - datasetA: '22.81' - datasetB: '46.63' - ranking: '1058' + download: 3639 + datasetA: '54.3' + datasetB: '13.35' + ranking: '371' - - nameen: vit_tiny_r_s16_p8_224 - namezh: vit_tiny_r_s16_p8_224 + - nameen: efficientvit_m5 + namezh: efficientvit_m5 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8005 - datasetA: '22.81' - datasetB: '15.71' - ranking: '1059' + download: 4764 + datasetA: '58.44' + datasetB: '13.34' + ranking: '274' - - nameen: vit_tiny_r_s16_p8_384 - namezh: vit_tiny_r_s16_p8_384 + - nameen: regnety_040 + namezh: regnety_040 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2579 - datasetA: '22.8' - datasetB: '50.13' - ranking: '1060' + download: 3985 + datasetA: '43.71' + datasetB: '13.32' + ranking: '620' - - nameen: vit_wee_patch16_reg1_gap_256 - namezh: vit_wee_patch16_reg1_gap_256 + - nameen: levit_256d + namezh: levit_256d paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8744 - datasetA: '22.77' - datasetB: '49.35' - ranking: '1061' + download: 3262 + datasetA: '52.12' + datasetB: '13.29' + ranking: '420' - - nameen: vit_xsmall_patch16_clip_224 - namezh: vit_xsmall_patch16_clip_224 + - nameen: maxvit_tiny_tf_224 + namezh: maxvit_tiny_tf_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5808 - datasetA: '22.76' - datasetB: '27.72' - ranking: '1062' + download: 1678 + datasetA: '50.46' + datasetB: '13.27' + ranking: '457' - - nameen: vitamin_base_224 - namezh: vitamin_base_224 + - nameen: tf_efficientnetv2_b3 + namezh: tf_efficientnetv2_b3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4956 - datasetA: '22.7' - datasetB: '25.75' - ranking: '1063' + download: 4801 + datasetA: '30.49' + datasetB: '13.25' + ranking: '887' - - nameen: vitamin_large2_224 - namezh: vitamin_large2_224 + - nameen: ecaresnet101d_pruned + namezh: ecaresnet101d_pruned paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 2414 - datasetA: '22.67' - datasetB: '24.9' - ranking: '1064' + download: 8213 + datasetA: '61.81' + datasetB: '13.24' + ranking: '202' - - nameen: vitamin_large2_256 - namezh: vitamin_large2_256 + - nameen: levit_128 + namezh: levit_128 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8485 - datasetA: '22.66' - datasetB: '44.1' - ranking: '1065' + download: 4163 + datasetA: '52.27' + datasetB: '13.22' + ranking: '416' - - nameen: vitamin_large2_336 - namezh: vitamin_large2_336 + - nameen: volo_d5_448 + namezh: volo_d5_448 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 5699 - datasetA: '22.65' - datasetB: '13.62' - ranking: '1066' + download: 4554 + datasetA: '21.66' + datasetB: '13.21' + ranking: '1085' - - nameen: vitamin_large2_384 - namezh: vitamin_large2_384 + - nameen: hgnetv2_b3 + namezh: hgnetv2_b3 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 4333 - datasetA: '22.61' - datasetB: '12.44' - ranking: '1067' + download: 3848 + datasetA: '54.33' + datasetB: '13.15' + ranking: '370' - - nameen: vitamin_large_224 - namezh: vitamin_large_224 + - nameen: resnet50_clip + namezh: resnet50_clip paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7699 - datasetA: '22.52' - datasetB: '22.55' - ranking: '1068' + download: 9260 + datasetA: '38.8' + datasetB: '13.09' + ranking: '702' - - nameen: vitamin_large_256 - namezh: vitamin_large_256 + - nameen: resnet50_mlp + namezh: resnet50_mlp paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 9455 - datasetA: '22.51' - datasetB: '14.43' - ranking: '1069' + download: 3172 + datasetA: '38.53' + datasetB: '13.04' + ranking: '705' - - nameen: vitamin_large_336 - namezh: vitamin_large_336 + - nameen: semnasnet_050 + namezh: semnasnet_050 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7825 - datasetA: '22.47' - datasetB: '44.14' - ranking: '1070' + download: 5084 + datasetA: '34.54' + datasetB: '13.03' + ranking: '791' - - nameen: vitamin_large_384 - namezh: vitamin_large_384 + - nameen: maxvit_tiny_rw_256 + namezh: maxvit_tiny_rw_256 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 8384 - datasetA: '22.37' - datasetB: '29.55' - ranking: '1071' + download: 7750 + datasetA: '50.62' + datasetB: '12.83' + ranking: '456' - - nameen: vitamin_small_224 - namezh: vitamin_small_224 + - nameen: gmixer_24_224 + namezh: gmixer_24_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6656 - datasetA: '22.35' - datasetB: '42.23' - ranking: '1072' + download: 9398 + datasetA: '55.0' + datasetB: '12.82' + ranking: '349' - - nameen: vitamin_xlarge_256 - namezh: vitamin_xlarge_256 + - nameen: tf_efficientnet_es + namezh: tf_efficientnet_es paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7023 - datasetA: '22.28' - datasetB: '27.79' - ranking: '1073' + download: 4534 + datasetA: '30.89' + datasetB: '12.77' + ranking: '877' - - nameen: vitamin_xlarge_336 - namezh: vitamin_xlarge_336 + - nameen: regnety_002 + namezh: regnety_002 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 7102 - datasetA: '22.19' - datasetB: '43.46' - ranking: '1074' + download: 7349 + datasetA: '43.87' + datasetB: '12.74' + ranking: '613' - - nameen: vitamin_xlarge_384 - namezh: vitamin_xlarge_384 + - nameen: deit_base_patch16_224 + namezh: deit_base_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - download: 6624 - datasetA: '22.15' - datasetB: '27.2' - ranking: '1075' + download: 2861 + datasetA: '64.34' + datasetB: '12.71' + ranking: '150' - - nameen: volo_d1_224 - namezh: volo_d1_224 + - nameen: vgg16_bn + namezh: vgg16_bn paper: text: 'https://huggingface.co/docs/timm/index' link: 'https://huggingface.co/docs/timm/index' - 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nameen: tf_efficientnet_cc_b0_4e + namezh: tf_efficientnet_cc_b0_4e + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 4184 + datasetA: '31.12' + datasetB: '10.34' + ranking: '872' + + - nameen: regnetz_005 + namezh: regnetz_005 + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 3327 + datasetA: '43.18' + datasetB: '10.28' + ranking: '631' + + - nameen: volo_d5_224 + namezh: volo_d5_224 + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 1672 + datasetA: '21.71' + datasetB: '10.26' + ranking: '1084' + + - nameen: gmixer_12_224 + namezh: gmixer_12_224 + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 3921 + datasetA: '55.04' + datasetB: '10.16' + ranking: '348' + + - nameen: resnext101_32x32d + namezh: resnext101_32x32d + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 2023 + datasetA: '35.51' + datasetB: '10.15' + ranking: '767' + + - nameen: swinv2_small_window16_256 + namezh: swinv2_small_window16_256 + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 4088 + datasetA: '31.55' + datasetB: '10.14' + ranking: '860' + + - nameen: tinynet_d + namezh: tinynet_d + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 6264 + datasetA: '29.58' + datasetB: '10.1' + ranking: '909' + + - nameen: vit_base_patch16_siglip_512 + namezh: vit_base_patch16_siglip_512 + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 9006 + datasetA: '27.54' + datasetB: '10.09' + ranking: '952' + + - nameen: swinv2_large_window12_192 + namezh: swinv2_large_window12_192 + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 3780 + datasetA: '31.8' + datasetB: '10.06' + ranking: '856' + + - nameen: levit_384_s8 + namezh: levit_384_s8 + paper: + text: 'https://huggingface.co/docs/timm/index' + link: 'https://huggingface.co/docs/timm/index' + download: 6166 + datasetA: '52.03' + datasetB: '10.04' + ranking: '422' + + + + - titlezh: 目标检测 + titleen: Object Detection - COCO + rankings: + - nameen: atss_swin-l-p4-w12_fpn_dyhead_mstrain_2x_coco + namezh: atss_swin-l-p4-w12_fpn_dyhead_mstrain_2x_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/DyHead?athId=b19bf998702a943f70e46d53b1054e51&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/DyHead?athId=b19bf998702a943f70e46d53b1054e51&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 646 + datasetA: '0.447' + datasetB: '0.6943' + ranking: '1' + - nameen: yolox_x_8x8_300e_coco + namezh: yolox_x_8x8_300e_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/YOLOX?athId=e0fd346d0ae014efd2de972e6df9dea8&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/YOLOX?athId=e0fd346d0ae014efd2de972e6df9dea8&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 5152 + datasetA: '0.426' + datasetB: '0.7675' + ranking: '2' + - nameen: deformable-detr(deformable_detr_refine_r50_16x2_50e_coco) + namezh: deformable-detr(deformable_detr_refine_r50_16x2_50e_coco) + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Deformable%20DETR?athId=45f3fa81f746aef44a5b0eb2eacb16c1&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Deformable%20DETR?athId=45f3fa81f746aef44a5b0eb2eacb16c1&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 6510 + datasetA: '0.286' + datasetB: '0.6812' + ranking: '3' + - nameen: faster_rcnn_x101_64x4d_fpn_1x_coco + namezh: faster_rcnn_x101_64x4d_fpn_1x_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Faster%20R-CNN?athId=6e1c4a83606f2a559343d2c69c93d10f&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Faster%20R-CNN?athId=6e1c4a83606f2a559343d2c69c93d10f&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 50486 + datasetA: '0.28' + datasetB: '0.7185' + ranking: '4' + - nameen: deformable_detr_r50_16x2_50e_coco + namezh: deformable_detr_r50_16x2_50e_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Deformable%20DETR?athId=45f3fa81f746aef44a5b0eb2eacb16c1&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Deformable%20DETR?athId=45f3fa81f746aef44a5b0eb2eacb16c1&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 5414 + datasetA: '0.276' + datasetB: '0.6627' + ranking: '5' + - nameen: cascade_mask_rcnn_r50_fpn_20e_coco + namezh: cascade_mask_rcnn_r50_fpn_20e_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Cascade%20Mask%20R-CNN?athId=0ec20d0f9d5914e4422d251f2ddf247b&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Cascade%20Mask%20R-CNN?athId=0ec20d0f9d5914e4422d251f2ddf247b&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 1505 + datasetA: '0.257' + datasetB: '0.7193' + ranking: '6' + - nameen: gfl_r50_fpn_1x_coco + namezh: gfl_r50_fpn_1x_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Generalized%20Focal%20Loss?athId=d5b8ec1f0fa4ca080d1be245181c200d&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Generalized%20Focal%20Loss?athId=d5b8ec1f0fa4ca080d1be245181c200d&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 1190 + datasetA: '0.246' + datasetB: '0.6724' + ranking: '7' + - nameen: detr-resnet-50(detr_r50_8x2_150e_coco) + namezh: detr-resnet-50(detr_r50_8x2_150e_coco) + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/DETR?athId=b609e23c7b56f32054cf4a85c0ef9c01&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/DETR?athId=b609e23c7b56f32054cf4a85c0ef9c01&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 566289 + datasetA: '0.241' + datasetB: '0.6384' + ranking: '8' + - nameen: faster_rcnn_r50_caffe_c4_1x_coco + namezh: faster_rcnn_r50_caffe_c4_1x_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Faster%20R-CNN?athId=6e1c4a83606f2a559343d2c69c93d10f&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Faster%20R-CNN?athId=6e1c4a83606f2a559343d2c69c93d10f&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 50486 + datasetA: '0.214' + datasetB: '0.6946' + ranking: '9' + - nameen: yolox_tiny_8x8_300e_coco + namezh: yolox_tiny_8x8_300e_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/YOLOX?athId=e0fd346d0ae014efd2de972e6df9dea8&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/YOLOX?athId=e0fd346d0ae014efd2de972e6df9dea8&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Object%20Detection + download: 5152 + datasetA: '0.182' + datasetB: '0.6965' + ranking: '10' + + - nameen: mask-rcnn_r50_fpn_albu-1x_coco + namezh: mask-rcnn_r50_fpn_albu-1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: atss_r50_fpn_1x_coco + namezh: atss_r50_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: atss_r101_fpn_1x_coco + namezh: atss_r101_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: autoassign_r50-caffe_fpn_1x_coco + namezh: autoassign_r50-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: boxinst_r50_fpn_ms-90k_coco + namezh: boxinst_r50_fpn_ms-90k_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: boxinst_r101_fpn_ms-90k_coco + namezh: boxinst_r101_fpn_ms-90k_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_carafe_1x_coco + namezh: faster-rcnn_r50_fpn_carafe_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_r50_fpn_carafe_1x_coco + namezh: mask-rcnn_r50_fpn_carafe_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r50-caffe_fpn_1x_coco + namezh: cascade-rcnn_r50-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r50_fpn_1x_coco + namezh: cascade-rcnn_r50_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r50_fpn_20e_coco + namezh: cascade-rcnn_r50_fpn_20e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r101-caffe_fpn_1x_coco + namezh: cascade-rcnn_r101-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r101_fpn_1x_coco + namezh: cascade-rcnn_r101_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r101_fpn_20e_coco + namezh: cascade-rcnn_r101_fpn_20e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_x101-32x4d_fpn_1x_coco + namezh: cascade-rcnn_x101-32x4d_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_x101-32x4d_fpn_20e_coco + namezh: cascade-rcnn_x101-32x4d_fpn_20e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_x101-64x4d_fpn_1x_coco + namezh: cascade-rcnn_x101-64x4d_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_x101_64x4d_fpn_20e_coco + namezh: cascade-rcnn_x101_64x4d_fpn_20e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r50-caffe_fpn_1x_coco + namezh: cascade-mask-rcnn_r50-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r50_fpn_1x_coco + namezh: cascade-mask-rcnn_r50_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r50_fpn_20e_coco + namezh: cascade-mask-rcnn_r50_fpn_20e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r101-caffe_fpn_1x_coco + namezh: cascade-mask-rcnn_r101-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r101_fpn_1x_coco + namezh: cascade-mask-rcnn_r101_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r101_fpn_20e_coco + namezh: cascade-mask-rcnn_r101_fpn_20e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_x101-32x4d_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_x101-32x4d_fpn_20e_coco + namezh: cascade-mask-rcnn_x101-32x4d_fpn_20e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_x101-64x4d_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-64x4d_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_x101-64x4d_fpn_20e_coco + namezh: cascade-mask-rcnn_x101-64x4d_fpn_20e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r50-caffe_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_r50-caffe_fpn_ms-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r50_fpn_mstrain_3x_coco + namezh: cascade-mask-rcnn_r50_fpn_mstrain_3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r101-caffe_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_r101-caffe_fpn_ms-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r101_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_r101_fpn_ms-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_x101-32x4d_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_x101-32x4d_fpn_ms-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_x101-32x8d_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_x101-32x8d_fpn_ms-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_x101-64x4d_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_x101-64x4d_fpn_ms-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rpn_fast-rcnn_r50-caffe_fpn_1x_coco + namezh: cascade-rpn_fast-rcnn_r50-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rpn_faster-rcnn_r50-caffe_fpn_1x_coco + namezh: cascade-rpn_faster-rcnn_r50-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: centernet_r18-dcnv2_8xb16-crop512-140e_coco + namezh: centernet_r18-dcnv2_8xb16-crop512-140e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: centernet_r18_8xb16-crop512-140e_coco + namezh: centernet_r18_8xb16-crop512-140e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: centernet-update_r50-caffe_fpn_ms-1x_coco + namezh: centernet-update_r50-caffe_fpn_ms-1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: centripetalnet_hourglass104_16xb6-crop511-210e-mstest_coco + namezh: centripetalnet_hourglass104_16xb6-crop511-210e-mstest_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: condinst_r50_fpn_ms-poly-90k_coco_instance + namezh: condinst_r50_fpn_ms-poly-90k_coco_instance + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: conditional-detr_r50_8xb2-50e_coco.py + namezh: conditional-detr_r50_8xb2-50e_coco.py + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cornernet_hourglass104_10xb5-crop511-210e-mstest_coco + namezh: cornernet_hourglass104_10xb5-crop511-210e-mstest_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cornernet_hourglass104_8xb6-210e-mstest_coco + namezh: cornernet_hourglass104_8xb6-210e-mstest_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cornernet_hourglass104_32xb3-210e-mstest_coco + namezh: cornernet_hourglass104_32xb3-210e-mstest_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_convnext-t-p4-w7_fpn_amp-ms-crop-3x_coco + namezh: mask-rcnn_convnext-t-p4-w7_fpn_amp-ms-crop-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_convnext-t-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco + namezh: cascade-mask-rcnn_convnext-t-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_convnext-s-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco + namezh: cascade-mask-rcnn_convnext-s-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: dab-detr_r50_8xb2-50e_coco.py + namezh: dab-detr_r50_8xb2-50e_coco.py + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_dconv_c3-c5_1x_coco + namezh: faster-rcnn_r50_fpn_dconv_c3-c5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_dpool_1x_coco + namezh: faster-rcnn_r50_fpn_dpool_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r101-dconv-c3-c5_fpn_1x_coco + namezh: faster-rcnn_r101-dconv-c3-c5_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco + namezh: faster-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r50_fpn_dconv_c3-c5_1x_coco + namezh: cascade-rcnn_r50_fpn_dconv_c3-c5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r101-dconv-c3-c5_fpn_1x_coco + namezh: cascade-rcnn_r101-dconv-c3-c5_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + namezh: cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_mdconv_c3-c5_1x_coco + namezh: faster-rcnn_r50_fpn_mdconv_c3-c5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco + namezh: faster-rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_mdpool_1x_coco + namezh: faster-rcnn_r50_fpn_mdpool_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: ddod_r50_fpn_1x_coco + namezh: ddod_r50_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: deformable-detr_r50_16xb2-50e_coco + namezh: deformable-detr_r50_16xb2-50e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: deformable-detr_refine_r50_16xb2-50e_coco + namezh: deformable-detr_refine_r50_16xb2-50e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: deformable-detr_refine_twostage_r50_16xb2-50e_coco + namezh: deformable-detr_refine_twostage_r50_16xb2-50e_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r50-rfp_1x_coco + namezh: cascade-rcnn_r50-rfp_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: cascade-rcnn_r50-sac_1x_coco + namezh: cascade-rcnn_r50-sac_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: detectors_cascade-rcnn_r50_1x_coco + namezh: detectors_cascade-rcnn_r50_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - 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nameen: faster-rcnn_r50-caffe-c4_mstrain_1x_coco + namezh: faster-rcnn_r50-caffe-c4_mstrain_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50-caffe-dc5_1x_coco + namezh: faster-rcnn_r50-caffe-dc5_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50-caffe_fpn_1x_coco + namezh: faster-rcnn_r50-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_1x_coco + namezh: faster-rcnn_r50_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_fp16_1x_coco + namezh: faster-rcnn_r50_fpn_fp16_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r50_fpn_2x_coco + namezh: faster-rcnn_r50_fpn_2x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r101-caffe_fpn_1x_coco + namezh: faster-rcnn_r101-caffe_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: faster-rcnn_r101_fpn_1x_coco + namezh: faster-rcnn_r101_fpn_1x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - 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- nameen: xcit_small_24_p8_384 - namezh: xcit_small_24_p8_384 + - nameen: faster-rcnn_r50_fpn_bounded_iou_1x_coco + namezh: faster-rcnn_r50_fpn_bounded_iou_1x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 5189 - datasetA: '20.53' - datasetB: '39.98' - ranking: '1113' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_small_24_p16_224 - namezh: xcit_small_24_p16_224 + - nameen: faster-rcnn_r50-caffe-dc5_mstrain_1x_coco + namezh: faster-rcnn_r50-caffe-dc5_mstrain_1x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 5111 - datasetA: '20.48' - datasetB: '25.06' - ranking: '1114' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_small_24_p16_384 - namezh: xcit_small_24_p16_384 + - nameen: faster-rcnn_r50-caffe-dc5_mstrain_3x_coco + namezh: faster-rcnn_r50-caffe-dc5_mstrain_3x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 5102 - datasetA: '20.47' - datasetB: '20.31' - ranking: '1115' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_tiny_12_p8_224 - namezh: xcit_tiny_12_p8_224 + - nameen: faster-rcnn_r50-caffe_fpn_ms-2x_coco + namezh: faster-rcnn_r50-caffe_fpn_ms-2x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 9813 - datasetA: '20.34' - datasetB: '30.28' - ranking: '1116' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_tiny_12_p8_384 - namezh: xcit_tiny_12_p8_384 + - nameen: faster-rcnn_r50-caffe_fpn_ms-3x_coco + namezh: faster-rcnn_r50-caffe_fpn_ms-3x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 7913 - datasetA: '20.34' - datasetB: '34.63' - ranking: '1117' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_tiny_12_p16_224 - namezh: xcit_tiny_12_p16_224 + - nameen: faster-rcnn_r50_fpn_mstrain_3x_coco + namezh: faster-rcnn_r50_fpn_mstrain_3x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 7477 - datasetA: '20.32' - datasetB: '36.33' - ranking: '1118' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_tiny_12_p16_384 - namezh: xcit_tiny_12_p16_384 + - nameen: faster-rcnn_r101-caffe_fpn_ms-3x_coco + namezh: faster-rcnn_r101-caffe_fpn_ms-3x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 2328 - datasetA: '20.32' - datasetB: '43.14' - ranking: '1119' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_tiny_24_p8_224 - namezh: xcit_tiny_24_p8_224 + - nameen: faster-rcnn_r101_fpn_ms-3x_coco + namezh: faster-rcnn_r101_fpn_ms-3x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 1251 - datasetA: '20.32' - datasetB: '29.44' - ranking: '1120' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_tiny_24_p8_384 - namezh: xcit_tiny_24_p8_384 + - nameen: faster-rcnn_x101-32x4d_fpn_ms-3x_coco + namezh: faster-rcnn_x101-32x4d_fpn_ms-3x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 5410 - datasetA: '20.32' - datasetB: '22.39' - ranking: '1121' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_tiny_24_p16_224 - namezh: xcit_tiny_24_p16_224 + - nameen: faster-rcnn_x101-32x8d_fpn_ms-3x_coco + namezh: faster-rcnn_x101-32x8d_fpn_ms-3x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 5795 - datasetA: '20.27' - datasetB: '28.3' - ranking: '1122' + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: xcit_tiny_24_p16_38 - namezh: xcit_tiny_24_p16_38 + - nameen: faster-rcnn_x101-64x4d_fpn_ms-3x_coco + namezh: faster-rcnn_x101-64x4d_fpn_ms-3x_coco paper: - text: 'https://huggingface.co/docs/timm/index' - link: 'https://huggingface.co/docs/timm/index' - download: 6745 - datasetA: '20.13' - datasetB: '10.62' - ranking: '1123' - + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - titlezh: 目标检测 - titleen: Object Detection - COCO - rankings: - - - nameen: dino-5scale_swin-l_8xb2-36e_coco.py - namezh: dino-5scale_swin-l_8xb2-36e_coco.py + - nameen: faster-rcnn_r50_fpn_tnr-pretrain_1x_coco + namezh: faster-rcnn_r50_fpn_tnr-pretrain_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2171 - datasetA: 0.493 - datasetB: 0.814 - ranking: 1 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: dino-5scale_swin-l_8xb2-12e_coco.py - namezh: dino-5scale_swin-l_8xb2-12e_coco.py + - nameen: fcos_r50-caffe_fpn_gn-head_1x_coco + namezh: fcos_r50-caffe_fpn_gn-head_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9593 - datasetA: 0.487 - datasetB: 0.843 - ranking: 2 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: atss_swin-l-p4-w12_fpn_dyhead_ms-2x_coco - namezh: atss_swin-l-p4-w12_fpn_dyhead_ms-2x_coco + - nameen: fcos_r50-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco + namezh: fcos_r50-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9499 - datasetA: 0.447 - datasetB: 0.760 - ranking: 3 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet_x_8xb32-300e_coco - namezh: rtmdet_x_8xb32-300e_coco + - nameen: fcos_r50-dcn-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco + namezh: fcos_r50-dcn-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 305 - datasetA: 0.440 - datasetB: 0.784 - ranking: 4 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_x_8xb16-300e_coco - namezh: rtmdet-ins_x_8xb16-300e_coco + - nameen: fcos_r101-caffe_fpn_gn-head-1x_coco + namezh: fcos_r101-caffe_fpn_gn-head-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 923 - datasetA: 0.436 - datasetB: 0.827 - ranking: 5 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet_l_8xb32-300e_coco - namezh: rtmdet_l_8xb32-300e_coco + - nameen: fcos_r50-caffe_fpn_gn-head_ms-640-800-2x_coco + namezh: fcos_r50-caffe_fpn_gn-head_ms-640-800-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6105 - datasetA: 0.422 - datasetB: 0.769 - ranking: 6 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_l_8xb32-300e_coco - namezh: rtmdet-ins_l_8xb32-300e_coco + - nameen: fcos_r101-caffe_fpn_gn-head_ms-640-800-2x_coco + namezh: fcos_r101-caffe_fpn_gn-head_ms-640-800-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 432 - datasetA: 0.415 - datasetB: 0.795 - ranking: 7 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet_m_8xb32-300e_coco - namezh: rtmdet_m_8xb32-300e_coco + - nameen: fcos_x101-64x4d_fpn_gn-head_ms-640-800-2x_coco + namezh: fcos_x101-64x4d_fpn_gn-head_ms-640-800-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1956 - datasetA: 0.395 - datasetB: 0.717 - ranking: 8 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_x101-64x4d-dconv-c3-c5_fpn_ms-400-1400-16xb1-20e_coco - namezh: htc_x101-64x4d-dconv-c3-c5_fpn_ms-400-1400-16xb1-20e_coco + - nameen: fovea_r50_fpn_4xb4-1x_coco + namezh: fovea_r50_fpn_4xb4-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9306 - datasetA: 0.388 - datasetB: 0.771 - ranking: 9 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_m_8xb32-300e_coco - namezh: rtmdet-ins_m_8xb32-300e_coco + - nameen: fovea_r50_fpn_4xb4-2x_coco + namezh: fovea_r50_fpn_4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6764 - datasetA: 0.388 - datasetB: 0.737 - ranking: 10 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco - namezh: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco + - nameen: fovea_r50_fpn_gn-head-align_4xb4-2x_coco + namezh: fovea_r50_fpn_gn-head-align_4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1964 - datasetA: 0.376 - datasetB: 0.498 - ranking: 11 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco + - nameen: fovea_r50_fpn_gn-head-align_ms-640-800-4xb4-2x_coco + namezh: fovea_r50_fpn_gn-head-align_ms-640-800-4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7031 - datasetA: 0.359 - datasetB: 0.839 - ranking: 12 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_pvtv2-b4_fpn_1x_coco - namezh: retinanet_pvtv2-b4_fpn_1x_coco + - nameen: fovea_r101_fpn_4xb4-1x_coco + namezh: fovea_r101_fpn_4xb4-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2142 - datasetA: 0.356 - datasetB: 0.706 - ranking: 13 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco + - nameen: fovea_r101_fpn_4xb4-2x_coco + namezh: fovea_r101_fpn_4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4367 - datasetA: 0.356 - datasetB: 0.824 - ranking: 14 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco - namezh: cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco + - nameen: fovea_r101_fpn_gn-head-align_4xb4-2x_coco + namezh: fovea_r101_fpn_gn-head-align_4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1722 - datasetA: 0.356 - datasetB: 0.761 - ranking: 15 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: detectors_htc-r50_1x_coco - namezh: detectors_htc-r50_1x_coco + - nameen: fovea_r101_fpn_gn-head-align_ms-640-800-4xb4-2x_coco + namezh: fovea_r101_fpn_gn-head-align_ms-640-800-4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2147 - datasetA: 0.355 - datasetB: 0.734 - ranking: 16 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco - namezh: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco + - nameen: faster-rcnn_r50_fpg_crop640-50e_coco + namezh: faster-rcnn_r50_fpg_crop640-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4314 - datasetA: 0.353 - datasetB: 0.812 - ranking: 17 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_pvtv2-b5_fpn_1x_coco - namezh: retinanet_pvtv2-b5_fpn_1x_coco + - nameen: faster-rcnn_r50_fpg-chn128_crop640-50e_coco + namezh: faster-rcnn_r50_fpg-chn128_crop640-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 365 - datasetA: 0.352 - datasetB: 0.776 - ranking: 18 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpg_crop640-50e_coco + namezh: mask-rcnn_r50_fpg_crop640-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6760 - datasetA: 0.351 - datasetB: 0.787 - ranking: 19 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: tood_r101-dconv-c3-c5_fpn_ms-2x_coco - namezh: tood_r101-dconv-c3-c5_fpn_ms-2x_coco + - nameen: mask-rcnn_r50_fpg-chn128_crop640-50e_coco + namezh: mask-rcnn_r50_fpg-chn128_crop640-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1553 - datasetA: 0.350 - datasetB: 0.786 - ranking: 20 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco - namezh: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco + - nameen: retinanet_r50_fpg_crop640_50e_coco + namezh: retinanet_r50_fpg_crop640_50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7637 - datasetA: 0.348 - datasetB: 0.394 - ranking: 21 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: gfl_x101-32x4d-dconv-c4-c5_fpn_ms-2x_coco - namezh: gfl_x101-32x4d-dconv-c4-c5_fpn_ms-2x_coco + - nameen: retinanet_r50_fpg-chn128_crop640_50e_coco + namezh: retinanet_r50_fpg-chn128_crop640_50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7041 - datasetA: 0.347 - datasetB: 0.779 - ranking: 22 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco - namezh: cascade-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco + - nameen: freeanchor_r50_fpn_1x_coco + namezh: freeanchor_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7216 - datasetA: 0.347 - datasetB: 0.811 - ranking: 23 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco + - nameen: freeanchor_r101_fpn_1x_coco + namezh: freeanchor_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8993 - datasetA: 0.341 - datasetB: 0.797 - ranking: 24 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco + - nameen: freeanchor_x101-32x4d_fpn_1x_coco + namezh: freeanchor_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5986 - datasetA: 0.339 - datasetB: 0.794 - ranking: 25 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco - namezh: mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco + - nameen: fsaf_r50_fpn_1x_coco + namezh: fsaf_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5289 - datasetA: 0.339 - datasetB: 0.783 - ranking: 26 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet_s_8xb32-300e_coco - namezh: rtmdet_s_8xb32-300e_coco + - nameen: fsaf_r101_fpn_1x_coco + namezh: fsaf_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3641 - datasetA: 0.338 - datasetB: 0.796 - ranking: 27 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: detectors_cascade-rcnn_r50_1x_coco - namezh: detectors_cascade-rcnn_r50_1x_coco + - nameen: fsaf_x101-64x4d_fpn_1x_coco + namezh: fsaf_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6783 - datasetA: 0.338 - datasetB: 0.795 - ranking: 28 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 920 - datasetA: 0.337 - datasetB: 0.833 - ranking: 29 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: scnet_x101-64x4d_fpn_20e_coco - namezh: scnet_x101-64x4d_fpn_20e_coco + - nameen: mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2526 - datasetA: 0.337 - datasetB: 0.844 - ranking: 30 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_s_8xb32-300e_coco - namezh: rtmdet-ins_s_8xb32-300e_coco + - nameen: mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3772 - datasetA: 0.336 - datasetB: 0.768 - ranking: 31 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r50-sac_1x_coco - namezh: htc_r50-sac_1x_coco + - nameen: mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 699 - datasetA: 0.336 - datasetB: 0.724 - ranking: 32 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco - namezh: queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-backbone_1x_coco + namezh: mask-rcnn_r50_fpn_syncbn-backbone_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3715 - datasetA: 0.335 - datasetB: 0.360 - ranking: 33 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_pvtv2-b2_fpn_1x_coco - namezh: retinanet_pvtv2-b2_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3343 - datasetA: 0.332 - datasetB: 0.732 - ranking: 34 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: gfl_r101-dconv-c3-c5_fpn_ms-2x_coco - namezh: gfl_r101-dconv-c3-c5_fpn_ms-2x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7743 - datasetA: 0.329 - datasetB: 0.806 - ranking: 35 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco - namezh: faster-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco + - nameen: mask-rcnn_r101-syncbn_fpn_1x_coco + namezh: mask-rcnn_r101-syncbn_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7545 - datasetA: 0.328 - datasetB: 0.737 - ranking: 36 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 244 - datasetA: 0.328 - datasetB: 0.824 - ranking: 37 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_res2net-101_fpn_20e_coco - namezh: htc_res2net-101_fpn_20e_coco + - nameen: mask-rcnn_r101-syncbn-gcb-r4-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-syncbn-gcb-r4-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4462 - datasetA: 0.326 - datasetB: 0.704 - ranking: 38 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco - namezh: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco + - nameen: mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco + namezh: mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1850 - datasetA: 0.324 - datasetB: 0.715 - ranking: 39 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco - namezh: faster-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco + namezh: mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7047 - datasetA: 0.324 - datasetB: 0.768 - ranking: 40 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_x101-64x4d_fpn_16xb1-20e_coco - namezh: htc_x101-64x4d_fpn_16xb1-20e_coco + - nameen: mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco + namezh: mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4427 - datasetA: 0.323 - datasetB: 0.746 - ranking: 41 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco - namezh: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2357 - datasetA: 0.323 - datasetB: 0.736 - ranking: 42 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco - namezh: cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1557 - datasetA: 0.323 - datasetB: 0.735 - ranking: 43 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: tood_x101-64x4d_fpn_ms-2x_coco - namezh: tood_x101-64x4d_fpn_ms-2x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2627 - datasetA: 0.321 - datasetB: 0.680 - ranking: 44 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r50-rfp_1x_coco - namezh: htc_r50-rfp_1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7878 - datasetA: 0.320 - datasetB: 0.713 - ranking: 45 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco - namezh: mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3420 - datasetA: 0.319 - datasetB: 0.735 - ranking: 46 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r50-sac_1x_coco - namezh: cascade-rcnn_r50-sac_1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4251 - datasetA: 0.318 - datasetB: 0.783 - ranking: 47 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco - namezh: cascade-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco + - nameen: gfl_r50_fpn_1x_coco + namezh: gfl_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3716 - datasetA: 0.317 - datasetB: 0.766 - ranking: 48 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r101-dconv-c3-c5_fpn_1x_coco - namezh: cascade-rcnn_r101-dconv-c3-c5_fpn_1x_coco + - nameen: gfl_r50_fpn_ms-2x_coco + namezh: gfl_r50_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8432 - datasetA: 0.317 - datasetB: 0.763 - ranking: 49 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_x101-32x4d_fpn_16xb1-20e_coco - namezh: htc_x101-32x4d_fpn_16xb1-20e_coco + - nameen: gfl_r101_fpn_ms-2x_coco + namezh: gfl_r101_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7513 - datasetA: 0.316 - datasetB: 0.678 - ranking: 50 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_hrnetv2p-w40-20e_coco - namezh: cascade-mask-rcnn_hrnetv2p-w40-20e_coco + - nameen: gfl_r101-dconv-c3-c5_fpn_ms-2x_coco + namezh: gfl_r101-dconv-c3-c5_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7361 - datasetA: 0.316 - datasetB: 0.769 - ranking: 51 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: scnet_r101_fpn_20e_coco - namezh: scnet_r101_fpn_20e_coco + - nameen: gfl_x101-32x4d_fpn_ms-2x_coco + namezh: gfl_x101-32x4d_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9544 - datasetA: 0.315 - datasetB: 0.809 - ranking: 52 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco - namezh: mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco + - nameen: gfl_x101-32x4d-dconv-c4-c5_fpn_ms-2x_coco + namezh: gfl_x101-32x4d-dconv-c4-c5_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9145 - datasetA: 0.315 - datasetB: 0.769 - ranking: 53 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: dino-4scale_r50_8xb2-12e_coco.py - namezh: dino-4scale_r50_8xb2-12e_coco.py + - nameen: retinanet_r50_fpn_ghm-1x_coco + namezh: retinanet_r50_fpn_ghm-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2071 - datasetA: 0.314 - datasetB: 0.656 - ranking: 54 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r50_fpn_300-proposals_crop-ms-480-800-3x_coco - namezh: queryinst_r50_fpn_300-proposals_crop-ms-480-800-3x_coco + - nameen: retinanet_r101_fpn_ghm-1x_coco + namezh: retinanet_r101_fpn_ghm-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9006 - datasetA: 0.312 - datasetB: 0.330 - ranking: 55 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r101_fpn_ms-480-800-3x_coco - namezh: queryinst_r101_fpn_ms-480-800-3x_coco + - nameen: retinanet_x101-32x4d_fpn_ghm-1x_coco + namezh: retinanet_x101-32x4d_fpn_ghm-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1791 - datasetA: 0.312 - datasetB: 0.416 - ranking: 56 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_pvt-m_fpn_1x_coco - namezh: retinanet_pvt-m_fpn_1x_coco + - nameen: retinanet_x101-64x4d_fpn_ghm-1x_coco + namezh: retinanet_x101-64x4d_fpn_ghm-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1225 - datasetA: 0.312 - datasetB: 0.710 - ranking: 57 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco - namezh: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_gn-all_2x_coco + namezh: mask-rcnn_r50_fpn_gn-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7118 - datasetA: 0.312 - datasetB: 0.745 - ranking: 58 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: reppoints-moment_x101-dconv-c3-c5_fpn-gn_head-gn_2x_coco - namezh: reppoints-moment_x101-dconv-c3-c5_fpn-gn_head-gn_2x_coco + - nameen: mask-rcnn_r50_fpn_gn-all_3x_coco + namezh: mask-rcnn_r50_fpn_gn-all_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5915 - datasetA: 0.312 - datasetB: 0.786 - ranking: 59 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_res2net-101_fpn_20e_coco - namezh: cascade-mask-rcnn_res2net-101_fpn_20e_coco + - nameen: mask-rcnn_r101_fpn_gn-all_2x_coco + namezh: mask-rcnn_r101_fpn_gn-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6322 - datasetA: 0.311 - datasetB: 0.810 - ranking: 60 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sparse-rcnn_r101_fpn_300-proposals_crop-ms-480-800-3x_coco - namezh: sparse-rcnn_r101_fpn_300-proposals_crop-ms-480-800-3x_coco + - nameen: mask-rcnn_r101_fpn_gn-all_3x_coco + namezh: mask-rcnn_r101_fpn_gn-all_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5861 - datasetA: 0.311 - datasetB: 0.410 - ranking: 61 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_hrnetv2p-w32_20e_coco - namezh: htc_hrnetv2p-w32_20e_coco + - nameen: mask-rcnn_r50_fpn_gn-all_contrib_2x_coco + namezh: mask-rcnn_r50_fpn_gn-all_contrib_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2121 - datasetA: 0.311 - datasetB: 0.771 - ranking: 62 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_x101-32x4d_fpn_ms-3x_coco + - nameen: mask-rcnn_r50_fpn_gn-all_contrib_3x_coco + namezh: mask-rcnn_r50_fpn_gn-all_contrib_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7325 - datasetA: 0.311 - datasetB: 0.760 - ranking: 63 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-64x4d_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-64x4d_fpn_1x_coco + - nameen: faster-rcnn_r50_fpn_gn_ws-all_1x_coco + namezh: faster-rcnn_r50_fpn_gn_ws-all_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6189 - datasetA: 0.310 - datasetB: 0.798 - ranking: 64 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-64x4d_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_x101-64x4d_fpn_ms-3x_coco + - nameen: faster-rcnn_r101_fpn_gn-ws-all_1x_coco + namezh: faster-rcnn_r101_fpn_gn-ws-all_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4935 - datasetA: 0.310 - datasetB: 0.764 - ranking: 65 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-64x4d_fpn_20e_coco - namezh: cascade-mask-rcnn_x101-64x4d_fpn_20e_coco + - nameen: faster-rcnn_x50-32x4d_fpn_gn-ws-all_1x_coco + namezh: faster-rcnn_x50-32x4d_fpn_gn-ws-all_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9108 - datasetA: 0.309 - datasetB: 0.794 - ranking: 66 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco + - nameen: faster-rcnn_x101-32x4d_fpn_gn-ws-all_1x_coco + namezh: faster-rcnn_x101-32x4d_fpn_gn-ws-all_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4782 - datasetA: 0.307 - datasetB: 0.811 - ranking: 67 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: centripetalnet_hourglass104_16xb6-crop511-210e-mstest_coco - namezh: centripetalnet_hourglass104_16xb6-crop511-210e-mstest_coco + - nameen: mask-rcnn_r50_fpn_gn_ws-all_2x_coco + namezh: mask-rcnn_r50_fpn_gn_ws-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5329 - datasetA: 0.306 - datasetB: 0.807 - ranking: 68 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: gfl_x101-32x4d_fpn_ms-2x_coco - namezh: gfl_x101-32x4d_fpn_ms-2x_coco + - nameen: mask-rcnn_r101_fpn_gn-ws-all_2x_coco + namezh: mask-rcnn_r101_fpn_gn-ws-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1691 - datasetA: 0.306 - datasetB: 0.767 - ranking: 69 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco - namezh: mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco + - nameen: mask-rcnn_x50-32x4d_fpn_gn-ws-all_2x_coco + namezh: mask-rcnn_x50-32x4d_fpn_gn-ws-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9023 - datasetA: 0.305 - datasetB: 0.753 - ranking: 70 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco - namezh: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco + - nameen: mask-rcnn_x101-32x4d_fpn_gn-ws-all_2x_coco + namezh: mask-rcnn_x101-32x4d_fpn_gn-ws-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7886 - datasetA: 0.305 - datasetB: 0.752 - ranking: 71 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco - namezh: cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + - nameen: mask-rcnn_r50_fpn_gn_ws-all_20_23_24e_coco + namezh: mask-rcnn_r50_fpn_gn_ws-all_20_23_24e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6475 - datasetA: 0.305 - datasetB: 0.809 - ranking: 72 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_hrnetv2p-w40-20e_coco - namezh: cascade-rcnn_hrnetv2p-w40-20e_coco + - nameen: mask-rcnn_r101_fpn_gn-ws-all_20-23-24e_coco + namezh: mask-rcnn_r101_fpn_gn-ws-all_20-23-24e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2110 - datasetA: 0.304 - datasetB: 0.726 - ranking: 73 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_res2net-101_fpn_20e_coco - namezh: cascade-rcnn_res2net-101_fpn_20e_coco + - nameen: mask-rcnn_x50-32x4d_fpn_gn-ws-all_20-23-24e_coco + namezh: mask-rcnn_x50-32x4d_fpn_gn-ws-all_20-23-24e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 313 - datasetA: 0.304 - datasetB: 0.809 - ranking: 74 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_x101-64x4d_fpn_1x_coco - namezh: cascade-rcnn_x101-64x4d_fpn_1x_coco + - nameen: mask-rcnn_x101-32x4d_fpn_gn-ws-all_20-23-24e_coco + namezh: mask-rcnn_x101-32x4d_fpn_gn-ws-all_20-23-24e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1602 - datasetA: 0.302 - datasetB: 0.812 - ranking: 75 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d_fpn_20e_coco - namezh: cascade-mask-rcnn_x101-32x4d_fpn_20e_coco + - nameen: grid-rcnn_r50_fpn_gn-head_2x_coco + namezh: grid-rcnn_r50_fpn_gn-head_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3916 - datasetA: 0.302 - datasetB: 0.807 - ranking: 76 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d_fpn_1x_coco + - nameen: grid-rcnn_r101_fpn_gn-head_2x_coco + namezh: grid-rcnn_r101_fpn_gn-head_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5584 - datasetA: 0.300 - datasetB: 0.852 - ranking: 77 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_x101_64x4d_fpn_20e_coco - namezh: cascade-rcnn_x101_64x4d_fpn_20e_coco + - nameen: grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco + namezh: grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6087 - datasetA: 0.300 - datasetB: 0.787 - ranking: 78 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-syncbn-gcb-r4-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-syncbn-gcb-r4-c3-c5_fpn_1x_coco + - nameen: grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco + namezh: grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2088 - datasetA: 0.300 - datasetB: 0.788 - ranking: 79 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + - nameen: faster-rcnn_r50_fpn_groie_1x_coco + namezh: faster-rcnn_r50_fpn_groie_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5897 - datasetA: 0.300 - datasetB: 0.768 - ranking: 80 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x8d_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_x101-32x8d_fpn_ms-3x_coco + - nameen: grid-rcnn_r50_fpn_gn-head-groie_1x_coco + namezh: grid-rcnn_r50_fpn_gn-head-groie_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7425 - datasetA: 0.300 - datasetB: 0.751 - ranking: 81 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_groie_1x_coco + namezh: mask-rcnn_r50_fpn_groie_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7112 - datasetA: 0.300 - datasetB: 0.739 - ranking: 82 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco + namezh: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5641 - datasetA: 0.299 - datasetB: 0.825 - ranking: 83 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: tood_r101_fpn_ms-2x_coco - namezh: tood_r101_fpn_ms-2x_coco + - nameen: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco + namezh: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1864 - datasetA: 0.298 - datasetB: 0.711 - ranking: 84 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco - namezh: faster-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco + - nameen: ga-rpn_r50-caffe_fpn_1x_coco + namezh: ga-rpn_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6883 - datasetA: 0.298 - datasetB: 0.734 - ranking: 85 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_r101_fpn_ms-3x_coco + - nameen: ga-rpn_r101-caffe_fpn_1x_coco + namezh: ga-rpn_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4124 - datasetA: 0.298 - datasetB: 0.801 - ranking: 86 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet_tiny_8xb32-300e_coco - namezh: rtmdet_tiny_8xb32-300e_coco + - nameen: ga-rpn_x101-32x4d_fpn_1x_coco + namezh: ga-rpn_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2890 - datasetA: 0.298 - datasetB: 0.734 - ranking: 87 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w40-2x_coco - namezh: mask-rcnn_hrnetv2p-w40-2x_coco + - nameen: ga-rpn_x101-64x4d_fpn_1x_coco + namezh: ga-rpn_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 967 - datasetA: 0.296 - datasetB: 0.703 - ranking: 88 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco + - nameen: ga-faster-rcnn_r50-caffe_fpn_1x_coco + namezh: ga-faster-rcnn_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8116 - datasetA: 0.296 - datasetB: 0.793 - ranking: 89 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_hrnetv2p-w40-gn-head_ms-640-800-4xb4-2x_coco - namezh: fcos_hrnetv2p-w40-gn-head_ms-640-800-4xb4-2x_coco + - nameen: ga-faster-rcnn_r101-caffe_fpn_1x_coco + namezh: ga-faster-rcnn_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3268 - datasetA: 0.296 - datasetB: 0.726 - ranking: 90 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: deformable-detr_refine_twostage_r50_16xb2-50e_coco - namezh: deformable-detr_refine_twostage_r50_16xb2-50e_coco + - nameen: ga-faster-rcnn_x101-32x4d_fpn_1x_coco + namezh: ga-faster-rcnn_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 450 - datasetA: 0.296 - datasetB: 0.731 - ranking: 91 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_tiny_8xb32-300e_coco - namezh: rtmdet-ins_tiny_8xb32-300e_coco + - nameen: ga-faster-rcnn_x101-64x4d_fpn_1x_coco + namezh: ga-faster-rcnn_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1083 - datasetA: 0.296 - datasetB: 0.757 - ranking: 92 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r101-dconv-c3-c5_fpn_1x_coco - namezh: faster-rcnn_r101-dconv-c3-c5_fpn_1x_coco + - nameen: ga-retinanet_r50-caffe_fpn_1x_coco + namezh: ga-retinanet_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8827 - datasetA: 0.296 - datasetB: 0.782 - ranking: 93 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco + - nameen: ga-retinanet_r101-caffe_fpn_1x_coco + namezh: ga-retinanet_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 992 - datasetA: 0.295 - datasetB: 0.767 - ranking: 94 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_x101-32x4d_fpn_20e_coco - namezh: cascade-rcnn_x101-32x4d_fpn_20e_coco + - nameen: ga-retinanet_x101-32x4d_fpn_1x_coco + namezh: ga-retinanet_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5558 - datasetA: 0.295 - datasetB: 0.814 - ranking: 95 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r50_fpn_dconv_c3-c5_1x_coco - namezh: cascade-rcnn_r50_fpn_dconv_c3-c5_1x_coco + - nameen: ga-retinanet_x101-64x4d_fpn_1x_coco + namezh: ga-retinanet_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7098 - datasetA: 0.294 - datasetB: 0.833 - ranking: 96 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: libra-faster-rcnn_x101-64x4d_fpn_1x_coco - namezh: libra-faster-rcnn_x101-64x4d_fpn_1x_coco + - nameen: faster-rcnn_hrnetv2p-w18-1x_coco + namezh: faster-rcnn_hrnetv2p-w18-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8445 - datasetA: 0.294 - datasetB: 0.772 - ranking: 97 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_pvt-s_fpn_1x_coco - namezh: retinanet_pvt-s_fpn_1x_coco + - nameen: faster-rcnn_hrnetv2p-w18-2x_coco + namezh: faster-rcnn_hrnetv2p-w18-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9437 - datasetA: 0.294 - datasetB: 0.793 - ranking: 98 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco - namezh: mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco + - nameen: faster-rcnn_hrnetv2p-w32-1x_coco + namezh: faster-rcnn_hrnetv2p-w32-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7243 - datasetA: 0.294 - datasetB: 0.765 - ranking: 99 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101-caffe_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_r101-caffe_fpn_ms-3x_coco + - nameen: faster-rcnn_hrnetv2p-w32_2x_coco + namezh: faster-rcnn_hrnetv2p-w32_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8223 - datasetA: 0.294 - datasetB: 0.837 - ranking: 100 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_swin-t-p4-w7_fpn_1x_coco - namezh: mask-rcnn_swin-t-p4-w7_fpn_1x_coco + - nameen: faster-rcnn_hrnetv2p-w40-1x_coco + namezh: faster-rcnn_hrnetv2p-w40-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6140 - datasetA: 0.294 - datasetB: 0.719 - ranking: 101 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco + - nameen: faster-rcnn_hrnetv2p-w40_2x_coco + namezh: faster-rcnn_hrnetv2p-w40_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8005 - datasetA: 0.293 - datasetB: 0.780 - ranking: 102 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco - namezh: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco + - nameen: mask-rcnn_hrnetv2p-w18-1x_coco + namezh: mask-rcnn_hrnetv2p-w18-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5692 - datasetA: 0.293 - datasetB: 0.801 - ranking: 103 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask2former_r50_8xb2-lsj-50e_coco - namezh: mask2former_r50_8xb2-lsj-50e_coco + - nameen: mask-rcnn_hrnetv2p-w18-2x_coco + namezh: mask-rcnn_hrnetv2p-w18-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9580 - datasetA: 0.293 - datasetB: 0.341 - ranking: 104 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w40_1x_coco - namezh: mask-rcnn_hrnetv2p-w40_1x_coco + - nameen: mask-rcnn_hrnetv2p-w32-1x_coco + namezh: mask-rcnn_hrnetv2p-w32-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1773 - datasetA: 0.292 - datasetB: 0.819 - ranking: 105 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r101_fpn_20e_coco - namezh: htc_r101_fpn_20e_coco + - nameen: mask-rcnn_hrnetv2p-w32-2x_coco + namezh: mask-rcnn_hrnetv2p-w32-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4502 - datasetA: 0.292 - datasetB: 0.732 - ranking: 106 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_gn-all_3x_coco - namezh: mask-rcnn_r101_fpn_gn-all_3x_coco + - nameen: mask-rcnn_hrnetv2p-w40_1x_coco + namezh: mask-rcnn_hrnetv2p-w40_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6167 - datasetA: 0.292 - datasetB: 0.677 - ranking: 107 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: gfl_r101_fpn_ms-2x_coco - namezh: gfl_r101_fpn_ms-2x_coco + - nameen: mask-rcnn_hrnetv2p-w40-2x_coco + namezh: mask-rcnn_hrnetv2p-w40-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8470 - datasetA: 0.291 - datasetB: 0.807 - ranking: 108 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r50-rfp_1x_coco - namezh: cascade-rcnn_r50-rfp_1x_coco + - nameen: cascade-rcnn_hrnetv2p-w18-20e_coco + namezh: cascade-rcnn_hrnetv2p-w18-20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4371 - datasetA: 0.291 - datasetB: 0.830 - ranking: 109 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: scnet_r50_fpn_20e_coco - namezh: scnet_r50_fpn_20e_coco + - nameen: cascade-rcnn_hrnetv2p-w32-20e_coco + namezh: cascade-rcnn_hrnetv2p-w32-20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7322 - datasetA: 0.291 - datasetB: 0.725 - ranking: 110 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: reppoints-moment_r101-dconv-c3-c5_fpn-gn_head-gn_2x_coco - namezh: reppoints-moment_r101-dconv-c3-c5_fpn-gn_head-gn_2x_coco + - nameen: cascade-rcnn_hrnetv2p-w40-20e_coco + namezh: cascade-rcnn_hrnetv2p-w40-20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3932 - datasetA: 0.291 - datasetB: 0.680 - ranking: 111 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_pvtv2-b1_fpn_1x_coco - namezh: retinanet_pvtv2-b1_fpn_1x_coco + - nameen: cascade-mask-rcnn_hrnetv2p-w18_20e_coco + namezh: cascade-mask-rcnn_hrnetv2p-w18_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9341 - datasetA: 0.291 - datasetB: 0.768 - ranking: 112 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_hrnetv2p-w18_20e_coco - namezh: htc_hrnetv2p-w18_20e_coco + - nameen: cascade-mask-rcnn_hrnetv2p-w32_20e_coco + namezh: cascade-mask-rcnn_hrnetv2p-w32_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9738 - datasetA: 0.290 - datasetB: 0.804 - ranking: 113 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco - namezh: mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco + - nameen: cascade-mask-rcnn_hrnetv2p-w40-20e_coco + namezh: cascade-mask-rcnn_hrnetv2p-w40-20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8012 - datasetA: 0.290 - datasetB: 0.765 - ranking: 114 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_res2net-101_fpn_2x_coco - namezh: mask-rcnn_res2net-101_fpn_2x_coco + - nameen: htc_hrnetv2p-w18_20e_coco + namezh: htc_hrnetv2p-w18_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 412 - datasetA: 0.290 - datasetB: 0.720 - ranking: 115 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-64x4d_fpn_1x_coco - namezh: mask-rcnn_x101-64x4d_fpn_1x_coco + - nameen: htc_hrnetv2p-w32_20e_coco + namezh: htc_hrnetv2p-w32_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4383 - datasetA: 0.289 - datasetB: 0.822 - ranking: 116 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_hrnetv2p-w40_2x_coco - namezh: faster-rcnn_hrnetv2p-w40_2x_coco + - nameen: htc_hrnetv2p-w40_20e_coco + namezh: htc_hrnetv2p-w40_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6225 - datasetA: 0.289 - datasetB: 0.735 - ranking: 117 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sparse-rcnn_r101_fpn_ms-480-800-3x_coco - namezh: sparse-rcnn_r101_fpn_ms-480-800-3x_coco + - nameen: fcos_hrnetv2p-w18-gn-head_4xb4-1x_coco + namezh: fcos_hrnetv2p-w18-gn-head_4xb4-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5204 - datasetA: 0.289 - datasetB: 0.487 - ranking: 118 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_attention_0010_dcn_1x_coco - namezh: faster-rcnn_r50_fpn_attention_0010_dcn_1x_coco + - nameen: fcos_hrnetv2p-w18-gn-head_4xb4-2x_coco + namezh: fcos_hrnetv2p-w18-gn-head_4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2784 - datasetA: 0.289 - datasetB: 0.768 - ranking: 119 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_scratch_6x_coco - namezh: mask-rcnn_r50_fpn_gn-all_scratch_6x_coco + - nameen: fcos_hrnetv2p-w32-gn-head_4xb4-1x_coco + namezh: fcos_hrnetv2p-w32-gn-head_4xb4-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8449 - datasetA: 0.289 - datasetB: 0.741 - ranking: 120 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_x101-64x4d_fpn_1x_coco - namezh: ms-rcnn_x101-64x4d_fpn_1x_coco + - nameen: fcos_hrnetv2p-w32-gn-head_4xb4-2x_coco + namezh: fcos_hrnetv2p-w32-gn-head_4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5030 - datasetA: 0.288 - datasetB: 0.739 - ranking: 121 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_hrnetv2p-w32-20e_coco - namezh: cascade-rcnn_hrnetv2p-w32-20e_coco + - nameen: fcos_hrnetv2p-w18-gn-head_ms-640-800-4xb4-2x_coco + namezh: fcos_hrnetv2p-w18-gn-head_ms-640-800-4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4160 - datasetA: 0.288 - datasetB: 0.795 - ranking: 122 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_gn-all_2x_coco - namezh: mask-rcnn_r101_fpn_gn-all_2x_coco + - nameen: fcos_hrnetv2p-w32-gn-head_ms-640-800-4xb4-2x_coco + namezh: fcos_hrnetv2p-w32-gn-head_ms-640-800-4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6536 - datasetA: 0.288 - datasetB: 0.742 - ranking: 123 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_x101-32x4d_fpn_1x_coco - namezh: cascade-rcnn_x101-32x4d_fpn_1x_coco + - nameen: fcos_hrnetv2p-w40-gn-head_ms-640-800-4xb4-2x_coco + namezh: fcos_hrnetv2p-w40-gn-head_ms-640-800-4xb4-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7708 - datasetA: 0.288 - datasetB: 0.747 - ranking: 124 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_attention_1111_dcn_1x_coco - namezh: faster-rcnn_r50_fpn_attention_1111_dcn_1x_coco + - nameen: htc_r50_fpn_1x_coco + namezh: htc_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1671 - datasetA: 0.288 - datasetB: 0.698 - ranking: 125 - - - nameen: sparse-rcnn_r50_fpn_300-proposals_crop-ms-480-800-3x_coco - namezh: sparse-rcnn_r50_fpn_300-proposals_crop-ms-480-800-3x_coco + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: htc_r50_fpn_20e_coco + namezh: htc_r50_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5910 - datasetA: 0.287 - datasetB: 0.297 - ranking: 126 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x8d_fpn_1x_coco - namezh: mask-rcnn_x101-32x8d_fpn_1x_coco + - nameen: htc_r101_fpn_20e_coco + namezh: htc_r101_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8684 - datasetA: 0.286 - datasetB: 0.762 - ranking: 127 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: deformable-detr_refine_r50_16xb2-50e_coco - namezh: deformable-detr_refine_r50_16xb2-50e_coco + - nameen: htc_x101-32x4d_fpn_16xb1-20e_coco + namezh: htc_x101-32x4d_fpn_16xb1-20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7362 - datasetA: 0.286 - datasetB: 0.751 - ranking: 128 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco - namezh: mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco + - nameen: htc_x101-64x4d_fpn_16xb1-20e_coco + namezh: htc_x101-64x4d_fpn_16xb1-20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5620 - datasetA: 0.284 - datasetB: 0.725 - ranking: 129 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco + - nameen: htc_x101-64x4d-dconv-c3-c5_fpn_ms-400-1400-16xb1-20e_coco + namezh: htc_x101-64x4d-dconv-c3-c5_fpn_ms-400-1400-16xb1-20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7765 - datasetA: 0.284 - datasetB: 0.756 - ranking: 130 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco + - nameen: mask-rcnn_r50_fpn_instaboost_4x_coco + namezh: mask-rcnn_r50_fpn_instaboost_4x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9022 - datasetA: 0.284 - datasetB: 0.747 - ranking: 131 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w32-2x_coco - namezh: mask-rcnn_hrnetv2p-w32-2x_coco + - nameen: mask-rcnn_r101_fpn_instaboost-4x_coco + namezh: mask-rcnn_r101_fpn_instaboost-4x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3044 - datasetA: 0.284 - datasetB: 0.755 - ranking: 132 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco + - nameen: mask-rcnn_x101-64x4d_fpn_instaboost-4x_coco + namezh: mask-rcnn_x101-64x4d_fpn_instaboost-4x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7714 - datasetA: 0.283 - datasetB: 0.766 - ranking: 133 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco - namezh: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco + - nameen: cascade-mask-rcnn_r50_fpn_instaboost_4x_coco + namezh: cascade-mask-rcnn_r50_fpn_instaboost_4x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9370 - datasetA: 0.283 - datasetB: 0.738 - ranking: 134 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_hrnetv2p-w40-1x_coco - namezh: faster-rcnn_hrnetv2p-w40-1x_coco + - nameen: lad_r101-paa-r50_fpn_2xb8_coco_1x + namezh: lad_r101-paa-r50_fpn_2xb8_coco_1x paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7891 - datasetA: 0.283 - datasetB: 0.712 - ranking: 135 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r50_fpn_ms-480-800-3x_coco - namezh: queryinst_r50_fpn_ms-480-800-3x_coco + - nameen: lad_r50-paa-r101_fpn_2xb8_coco_1x + namezh: lad_r50-paa-r101_fpn_2xb8_coco_1x paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6206 - datasetA: 0.283 - datasetB: 0.383 - ranking: 136 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + - nameen: ld_r18-gflv1-r101_fpn_1x_coco + namezh: ld_r18-gflv1-r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9634 - datasetA: 0.283 - datasetB: 0.731 - ranking: 137 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-retinanet_r101-gn_fpn_ms-480-960-2x_coco - namezh: sabl-retinanet_r101-gn_fpn_ms-480-960-2x_coco + - nameen: ld_r34-gflv1-r101_fpn_1x_coco + namezh: ld_r34-gflv1-r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6485 - datasetA: 0.282 - datasetB: 0.791 - ranking: 138 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpg_crop640-50e_coco - namezh: mask-rcnn_r50_fpg_crop640-50e_coco + - nameen: ld_r50-gflv1-r101_fpn_1x_coco + namezh: ld_r50-gflv1-r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 558 - datasetA: 0.282 - datasetB: 0.708 - ranking: 139 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco + - nameen: ld_r101-gflv1-r101-dcn_fpn_2x_coco + namezh: ld_r101-gflv1-r101-dcn_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5481 - datasetA: 0.282 - datasetB: 0.752 - ranking: 140 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cornernet_hourglass104_8xb6-210e-mstest_coco - namezh: cornernet_hourglass104_8xb6-210e-mstest_coco + - nameen: libra-faster-rcnn_r50_fpn_1x_coco + namezh: libra-faster-rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3126 - datasetA: 0.281 - datasetB: 0.789 - ranking: 141 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_x101-64x4d_fpn_2x_coco - namezh: ms-rcnn_x101-64x4d_fpn_2x_coco + - nameen: libra-faster-rcnn_r101_fpn_1x_coco + namezh: libra-faster-rcnn_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7755 - datasetA: 0.281 - datasetB: 0.790 - ranking: 142 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco - namezh: grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco + - nameen: libra-faster-rcnn_x101-64x4d_fpn_1x_coco + namezh: libra-faster-rcnn_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2593 - datasetA: 0.281 - datasetB: 0.741 - ranking: 143 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpg_crop640-50e_coco - namezh: faster-rcnn_r50_fpg_crop640-50e_coco + - nameen: libra-retinanet_r50_fpn_1x_coco + namezh: libra-retinanet_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2134 - datasetA: 0.281 - datasetB: 0.778 - ranking: 144 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_res2net-101_fpn_2x_coco - namezh: faster-rcnn_res2net-101_fpn_2x_coco + - nameen: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8389 - datasetA: 0.281 - datasetB: 0.756 - ranking: 145 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_x101-64x4d_fpn_ms-3x_coco - namezh: faster-rcnn_x101-64x4d_fpn_ms-3x_coco + - nameen: mask2former_r101_8xb2-lsj-50e_coco + namezh: mask2former_r101_8xb2-lsj-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5043 - datasetA: 0.281 - datasetB: 0.754 - ranking: 146 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101_fpn_20e_coco - namezh: cascade-mask-rcnn_r101_fpn_20e_coco + - nameen: mask2former_r101_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_r101_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4926 - datasetA: 0.281 - datasetB: 0.749 - ranking: 147 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_hrnetv2p-w32-gn-head_ms-640-800-4xb4-2x_coco - namezh: fcos_hrnetv2p-w32-gn-head_ms-640-800-4xb4-2x_coco + - nameen: mask2former_r50_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_r50_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3370 - datasetA: 0.281 - datasetB: 0.747 - ranking: 148 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco - namezh: faster-rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco + - nameen: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4925 - datasetA: 0.281 - datasetB: 0.741 - ranking: 149 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_x101-32x4d_fpn_ms-3x_coco - namezh: faster-rcnn_x101-32x4d_fpn_ms-3x_coco + - nameen: mask2former_r50_8xb2-lsj-50e_coco + namezh: mask2former_r50_8xb2-lsj-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2849 - datasetA: 0.281 - datasetB: 0.706 - ranking: 150 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cornernet_hourglass104_10xb5-crop511-210e-mstest_coco - namezh: cornernet_hourglass104_10xb5-crop511-210e-mstest_coco + - nameen: mask2former_swin-l-p4-w12-384-in21k_16xb1-lsj-100e_coco-panoptic + namezh: mask2former_swin-l-p4-w12-384-in21k_16xb1-lsj-100e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3680 - datasetA: 0.281 - datasetB: 0.748 - ranking: 151 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco - namezh: grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco + - nameen: mask2former_swin-b-p4-w12-384-in21k_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_swin-b-p4-w12-384-in21k_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3929 - datasetA: 0.281 - datasetB: 0.702 - ranking: 152 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_x101-64x4d_fpn_1x_coco - namezh: faster-rcnn_x101-64x4d_fpn_1x_coco + - nameen: mask2former_swin-b-p4-w12-384_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_swin-b-p4-w12-384_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2309 - datasetA: 0.280 - datasetB: 0.757 - ranking: 153 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_mstrain_3x_coco - namezh: cascade-mask-rcnn_r50_fpn_mstrain_3x_coco + - nameen: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco + namezh: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 589 - datasetA: 0.280 - datasetB: 0.835 - ranking: 154 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: scnet_r50_fpn_1x_coco - namezh: scnet_r50_fpn_1x_coco + - nameen: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco + namezh: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9133 - datasetA: 0.280 - datasetB: 0.795 - ranking: 155 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_gn-all_scratch_6x_coco - namezh: faster-rcnn_r50_fpn_gn-all_scratch_6x_coco + - nameen: mask-rcnn_r50-caffe_fpn_1x_coco + namezh: mask-rcnn_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4581 - datasetA: 0.280 - datasetB: 0.715 - ranking: 156 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_instaboost-4x_coco - namezh: mask-rcnn_r101_fpn_instaboost-4x_coco + - nameen: mask-rcnn_r50_fpn_1x_coco + namezh: mask-rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4965 - datasetA: 0.279 - datasetB: 0.807 - ranking: 157 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco - namezh: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_r50_fpn_fp16_1x_coco + namezh: mask-rcnn_r50_fpn_fp16_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5732 - datasetA: 0.279 - datasetB: 0.777 - ranking: 158 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-64x4d_fpn_2x_coco - namezh: mask-rcnn_x101-64x4d_fpn_2x_coco + - nameen: mask-rcnn_r50_fpn_2x_coco + namezh: mask-rcnn_r50_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4909 - datasetA: 0.279 - datasetB: 0.776 - ranking: 159 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d_fpn_2x_coco - namezh: mask-rcnn_x101-32x4d_fpn_2x_coco + - nameen: mask-rcnn_r101-caffe_fpn_1x_coco + namezh: mask-rcnn_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1053 - datasetA: 0.279 - datasetB: 0.790 - ranking: 160 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: pisa_faster_rcnn_x101_32x4d_fpn_1x_coco - namezh: pisa_faster_rcnn_x101_32x4d_fpn_1x_coco + - nameen: mask-rcnn_r101_fpn_1x_coco + namezh: mask-rcnn_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4661 - datasetA: 0.279 - datasetB: 0.783 - ranking: 161 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: paa_r101_fpn_2x_coco - namezh: paa_r101_fpn_2x_coco + - nameen: mask-rcnn_r101_fpn_2x_coco + namezh: mask-rcnn_r101_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4765 - datasetA: 0.279 - datasetB: 0.668 - ranking: 162 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_x101-32x4d_fpn_1x_coco - namezh: ms-rcnn_x101-32x4d_fpn_1x_coco + - nameen: mask-rcnn_x101-32x4d_fpn_1x_coco + namezh: mask-rcnn_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7357 - datasetA: 0.279 - datasetB: 0.764 - ranking: 163 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: freeanchor_x101-32x4d_fpn_1x_coco - namezh: freeanchor_x101-32x4d_fpn_1x_coco + - nameen: mask-rcnn_x101-32x4d_fpn_2x_coco + namezh: mask-rcnn_x101-32x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3129 - datasetA: 0.279 - datasetB: 0.707 - ranking: 164 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: lad_r101-paa-r50_fpn_2xb8_coco_1x - namezh: lad_r101-paa-r50_fpn_2xb8_coco_1x + - nameen: mask-rcnn_x101-64x4d_fpn_1x_coco + namezh: mask-rcnn_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1174 - datasetA: 0.279 - datasetB: 0.703 - ranking: 165 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_instaboost_4x_coco - namezh: cascade-mask-rcnn_r50_fpn_instaboost_4x_coco + - nameen: mask-rcnn_x101-64x4d_fpn_2x_coco + namezh: mask-rcnn_x101-64x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3595 - datasetA: 0.278 - datasetB: 0.801 - ranking: 166 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_ms-poly-3x_coco - namezh: mask-rcnn_r101_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_x101-32x8d_fpn_1x_coco + namezh: mask-rcnn_x101-32x8d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4938 - datasetA: 0.278 - datasetB: 0.813 - ranking: 167 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fsaf_x101-64x4d_fpn_1x_coco - namezh: fsaf_x101-64x4d_fpn_1x_coco + - nameen: mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco + namezh: mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2227 - datasetA: 0.277 - datasetB: 0.831 - ranking: 168 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w32-1x_coco - namezh: mask-rcnn_hrnetv2p-w32-1x_coco + - nameen: mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco + namezh: mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 496 - datasetA: 0.277 - datasetB: 0.787 - ranking: 169 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101_fpn_1x_coco - namezh: cascade-mask-rcnn_r101_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_mstrain-poly_3x_coco + namezh: mask-rcnn_r50_fpn_mstrain-poly_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9472 - datasetA: 0.277 - datasetB: 0.822 - ranking: 170 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_mdconv_c3-c5_1x_coco - namezh: faster-rcnn_r50_fpn_mdconv_c3-c5_1x_coco + - nameen: mask-rcnn_r101_fpn_ms-poly-3x_coco + namezh: mask-rcnn_r101_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2317 - datasetA: 0.277 - datasetB: 0.798 - ranking: 171 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cornernet_hourglass104_32xb3-210e-mstest_coco - namezh: cornernet_hourglass104_32xb3-210e-mstest_coco + - nameen: mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco + namezh: mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4737 - datasetA: 0.277 - datasetB: 0.815 - ranking: 172 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-cascade-rcnn_r101_fpn_1x_coco - namezh: sabl-cascade-rcnn_r101_fpn_1x_coco + - nameen: mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco + namezh: mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8884 - datasetA: 0.277 - datasetB: 0.792 - ranking: 173 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_hrnetv2p-w18_20e_coco - namezh: cascade-mask-rcnn_hrnetv2p-w18_20e_coco + - nameen: mask-rcnn_x101-32x8d_fpn_ms-poly-1x_coco + namezh: mask-rcnn_x101-32x8d_fpn_ms-poly-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5168 - datasetA: 0.276 - datasetB: 0.744 - ranking: 174 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_r50-dcn-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco - namezh: fcos_r50-dcn-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco + - nameen: mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco + namezh: mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5695 - datasetA: 0.276 - datasetB: 0.741 - ranking: 175 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_x101-64x4d_fpn_gn-head_ms-640-800-2x_coco - namezh: fcos_x101-64x4d_fpn_gn-head_ms-640-800-2x_coco + - nameen: mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco + namezh: mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1234 - datasetA: 0.276 - datasetB: 0.694 - ranking: 176 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: atss_r50_fpn_dyhead_1x_coco - namezh: atss_r50_fpn_dyhead_1x_coco + - nameen: maskformer_r50_ms-16xb1-75e_coco + namezh: maskformer_r50_ms-16xb1-75e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3813 - datasetA: 0.276 - datasetB: 0.752 - ranking: 177 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101-caffe_fpn_1x_coco - namezh: cascade-mask-rcnn_r101-caffe_fpn_1x_coco + - nameen: maskformer_swin-l-p4-w12_64xb1-ms-300e_coco + namezh: maskformer_swin-l-p4-w12_64xb1-ms-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8852 - datasetA: 0.276 - datasetB: 0.766 - ranking: 178 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: deformable-detr_r50_16xb2-50e_coco - namezh: deformable-detr_r50_16xb2-50e_coco + - nameen: ms-rcnn_r50-caffe_fpn_1x_coco + namezh: ms-rcnn_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6471 - datasetA: 0.276 - datasetB: 0.706 - ranking: 179 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco - namezh: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + - nameen: ms-rcnn_r50-caffe_fpn_2x_coco + namezh: ms-rcnn_r50-caffe_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2176 - datasetA: 0.276 - datasetB: 0.734 - ranking: 180 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-retinanet_r101-gn_fpn_ms-640-800-2x_coco - namezh: sabl-retinanet_r101-gn_fpn_ms-640-800-2x_coco + - nameen: ms-rcnn_r101-caffe_fpn_1x_coco + namezh: ms-rcnn_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4209 - datasetA: 0.276 - datasetB: 0.828 - ranking: 181 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_dconv_c3-c5_1x_coco - namezh: faster-rcnn_r50_fpn_dconv_c3-c5_1x_coco + - nameen: ms-rcnn_r101-caffe_fpn_2x_coco + namezh: ms-rcnn_r101-caffe_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3091 - datasetA: 0.276 - datasetB: 0.773 - ranking: 182 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50-caffe_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_r50-caffe_fpn_ms-3x_coco + - nameen: ms-rcnn_x101-32x4d_fpn_1x_coco + namezh: ms-rcnn_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1718 - datasetA: 0.275 - datasetB: 0.800 - ranking: 183 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_3x_coco - namezh: mask-rcnn_r50_fpn_gn-all_3x_coco + - nameen: ms-rcnn_x101-64x4d_fpn_1x_coco + namezh: ms-rcnn_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2714 - datasetA: 0.274 - datasetB: 0.750 - ranking: 184 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco - namezh: mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco + - nameen: ms-rcnn_x101-64x4d_fpn_2x_coco + namezh: ms-rcnn_x101-64x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1971 - datasetA: 0.274 - datasetB: 0.775 - ranking: 185 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco + - nameen: nas-fcos_r50-caffe_fpn_nashead-gn-head_4xb4-1x_coco + namezh: nas-fcos_r50-caffe_fpn_nashead-gn-head_4xb4-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7535 - datasetA: 0.274 - datasetB: 0.711 - ranking: 186 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_hrnetv2p-w32_2x_coco - namezh: faster-rcnn_hrnetv2p-w32_2x_coco + - nameen: nas-fcos_r50-caffe_fpn_fcoshead-gn-head_4xb4-1x_coco + namezh: nas-fcos_r50-caffe_fpn_fcoshead-gn-head_4xb4-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1316 - datasetA: 0.274 - datasetB: 0.719 - ranking: 187 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r50_fpn_20e_coco - namezh: htc_r50_fpn_20e_coco + - nameen: retinanet_r50_fpn_crop640-50e_coco + namezh: retinanet_r50_fpn_crop640-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7461 - datasetA: 0.274 - datasetB: 0.770 - ranking: 188 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fovea_r101_fpn_gn-head-align_ms-640-800-4xb4-2x_coco - namezh: fovea_r101_fpn_gn-head-align_ms-640-800-4xb4-2x_coco + - nameen: retinanet_r50_nasfpn_crop640-50e_coco + namezh: retinanet_r50_nasfpn_crop640-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4680 - datasetA: 0.274 - datasetB: 0.825 - ranking: 189 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco + - nameen: paa_r50_fpn_1x_coco + namezh: paa_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8695 - datasetA: 0.274 - datasetB: 0.799 - ranking: 190 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_x101-64x4d_fpn_ghm-1x_coco - namezh: retinanet_x101-64x4d_fpn_ghm-1x_coco + - nameen: paa_r50_fpn_1.5x_coco + namezh: paa_r50_fpn_1.5x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5594 - datasetA: 0.273 - datasetB: 0.791 - ranking: 191 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_hrnetv2p-w18-20e_coco - namezh: cascade-rcnn_hrnetv2p-w18-20e_coco + - nameen: paa_r50_fpn_2x_coco + namezh: paa_r50_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7480 - datasetA: 0.273 - datasetB: 0.774 - ranking: 192 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_fpg_crop640_50e_coco - namezh: retinanet_r50_fpg_crop640_50e_coco + - nameen: paa_r50_fpn_mstrain_3x_coco + namezh: paa_r50_fpn_mstrain_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3859 - datasetA: 0.273 - datasetB: 0.770 - ranking: 193 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_regnetx-3.2GF_fpn_ms-3x_coco - namezh: faster-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + - nameen: paa_r101_fpn_1x_coco + namezh: paa_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4859 - datasetA: 0.273 - datasetB: 0.736 - ranking: 194 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco + - nameen: paa_r101_fpn_2x_coco + namezh: paa_r101_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3698 - datasetA: 0.272 - datasetB: 0.745 - ranking: 195 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpg-chn128_crop640-50e_coco - namezh: mask-rcnn_r50_fpg-chn128_crop640-50e_coco + - nameen: paa_r101_fpn_mstrain_3x_coco + namezh: paa_r101_fpn_mstrain_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7597 - datasetA: 0.272 - datasetB: 0.727 - ranking: 196 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_x101-32x8d_fpn_ms-3x_coco - namezh: faster-rcnn_x101-32x8d_fpn_ms-3x_coco + - nameen: faster-rcnn_r50_pafpn_1x_coco + namezh: faster-rcnn_r50_pafpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8876 - datasetA: 0.272 - datasetB: 0.781 - ranking: 197 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r101_fpn_20e_coco - namezh: cascade-rcnn_r101_fpn_20e_coco + - nameen: panoptic_fpn_r50_fpn_1x_coco + namezh: panoptic_fpn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2669 - datasetA: 0.272 - datasetB: 0.739 - ranking: 198 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_regnetx-4GF_fpn_ms-3x_coco - namezh: faster-rcnn_regnetx-4GF_fpn_ms-3x_coco + - nameen: panoptic_fpn_r50_fpn_mstrain_3x_coco + namezh: panoptic_fpn_r50_fpn_mstrain_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7255 - datasetA: 0.271 - datasetB: 0.789 - ranking: 199 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_x101-32x4d_fpn_1x_coco - namezh: faster-rcnn_x101-32x4d_fpn_1x_coco + - nameen: panoptic_fpn_r101_fpn_1x_coco + namezh: panoptic_fpn_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2808 - datasetA: 0.271 - datasetB: 0.729 - ranking: 200 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_hrnetv2p-w32-gn-head_4xb4-2x_coco - namezh: fcos_hrnetv2p-w32-gn-head_4xb4-2x_coco + - nameen: panoptic_fpn_r101_fpn_mstrain_3x_coco + namezh: panoptic_fpn_r101_fpn_mstrain_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4734 - datasetA: 0.271 - datasetB: 0.705 - ranking: 201 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_x101-64x4d_fpn_2x_coco - namezh: faster-rcnn_x101-64x4d_fpn_2x_coco + - nameen: retinanet_pvt-t_fpn_1x_coco + namezh: retinanet_pvt-t_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1177 - datasetA: 0.271 - datasetB: 0.760 - ranking: 202 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-8GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-8GF_fpn_1x_coco + - nameen: retinanet_pvt-s_fpn_1x_coco + namezh: retinanet_pvt-s_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2656 - datasetA: 0.270 - datasetB: 0.764 - ranking: 203 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_x101-64x4d_fpn_1x_coco - namezh: retinanet_x101-64x4d_fpn_1x_coco + - nameen: retinanet_pvt-m_fpn_1x_coco + namezh: retinanet_pvt-m_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 836 - datasetA: 0.270 - datasetB: 0.777 - ranking: 204 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-4GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-4GF_fpn_1x_coco + - nameen: retinanet_pvtv2-b0_fpn_1x_coco + namezh: retinanet_pvtv2-b0_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7144 - datasetA: 0.270 - datasetB: 0.716 - ranking: 205 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_2x_coco - namezh: mask-rcnn_r50_fpn_gn-all_2x_coco + - nameen: retinanet_pvtv2-b1_fpn_1x_coco + namezh: retinanet_pvtv2-b1_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6103 - datasetA: 0.270 - datasetB: 0.721 - ranking: 206 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_effb3_fpn_8xb4-crop896-1x_coco - namezh: retinanet_effb3_fpn_8xb4-crop896-1x_coco + - nameen: retinanet_pvtv2-b2_fpn_1x_coco + namezh: retinanet_pvtv2-b2_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7461 - datasetA: 0.270 - datasetB: 0.739 - ranking: 207 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: dab-detr_r50_8xb2-50e_coco.py - namezh: dab-detr_r50_8xb2-50e_coco.py + - nameen: retinanet_pvtv2-b3_fpn_1x_coco + namezh: retinanet_pvtv2-b3_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 710 - datasetA: 0.270 - datasetB: 0.736 - ranking: 208 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-12GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-12GF_fpn_1x_coco + - nameen: retinanet_pvtv2-b4_fpn_1x_coco + namezh: retinanet_pvtv2-b4_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8261 - datasetA: 0.269 - datasetB: 0.738 - ranking: 209 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_contrib_3x_coco - namezh: mask-rcnn_r50_fpn_gn-all_contrib_3x_coco + - nameen: retinanet_pvtv2-b5_fpn_1x_coco + namezh: retinanet_pvtv2-b5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8566 - datasetA: 0.269 - datasetB: 0.714 - ranking: 210 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpg-chn128_crop640-50e_coco - namezh: faster-rcnn_r50_fpg-chn128_crop640-50e_coco + - nameen: pisa_faster_rcnn_r50_fpn_1x_coco + namezh: pisa_faster_rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5779 - datasetA: 0.269 - datasetB: 0.811 - ranking: 211 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: gfl_r50_fpn_ms-2x_coco - namezh: gfl_r50_fpn_ms-2x_coco + - nameen: pisa_faster_rcnn_x101_32x4d_fpn_1x_coco + namezh: pisa_faster_rcnn_x101_32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2374 - datasetA: 0.269 - datasetB: 0.750 - ranking: 212 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco + - nameen: pisa_mask_rcnn_r50_fpn_1x_coco + namezh: pisa_mask_rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8573 - datasetA: 0.268 - datasetB: 0.776 - ranking: 213 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r101-caffe_fpn_1x_coco - namezh: cascade-rcnn_r101-caffe_fpn_1x_coco + - nameen: pisa_retinanet_r50_fpn_1x_coco + namezh: pisa_retinanet_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2476 - datasetA: 0.268 - datasetB: 0.765 - ranking: 214 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r101_fpn_1x_coco - namezh: cascade-rcnn_r101_fpn_1x_coco + - nameen: pisa_retinanet_x101_32x4d_fpn_1x_coco + namezh: pisa_retinanet_x101_32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 618 - datasetA: 0.268 - datasetB: 0.771 - ranking: 215 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sparse-rcnn_r50_fpn_ms-480-800-3x_coco - namezh: sparse-rcnn_r50_fpn_ms-480-800-3x_coco + - nameen: pisa_ssd300_coco + namezh: pisa_ssd300_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8379 - datasetA: 0.267 - datasetB: 0.355 - ranking: 216 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r101_fpn_ms-3x_coco - namezh: faster-rcnn_r101_fpn_ms-3x_coco + - nameen: pisa_ssd512_coco + namezh: pisa_ssd512_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6491 - datasetA: 0.267 - datasetB: 0.729 - ranking: 217 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: libra-faster-rcnn_r101_fpn_1x_coco - namezh: libra-faster-rcnn_r101_fpn_1x_coco + - nameen: point_rend_r50_caffe_fpn_mstrain_1x_coco + namezh: point_rend_r50_caffe_fpn_mstrain_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6158 - datasetA: 0.267 - datasetB: 0.751 - ranking: 218 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_attention_1111_1x_coco - namezh: faster-rcnn_r50_fpn_attention_1111_1x_coco + - nameen: point_rend_r50_caffe_fpn_mstrain_3x_coco + namezh: point_rend_r50_caffe_fpn_mstrain_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 620 - datasetA: 0.267 - datasetB: 0.681 - ranking: 219 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: atss_r50-caffe_fpn_dyhead_1x_coco - namezh: atss_r50-caffe_fpn_dyhead_1x_coco + - nameen: queryinst_r50_fpn_1x_coco + namezh: queryinst_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4122 - datasetA: 0.267 - datasetB: 0.825 - ranking: 220 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_x101-32x4d_fpn_ghm-1x_coco - namezh: retinanet_x101-32x4d_fpn_ghm-1x_coco + - nameen: queryinst_r50_fpn_ms-480-800-3x_coco + namezh: queryinst_r50_fpn_ms-480-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1585 - datasetA: 0.267 - datasetB: 0.807 - ranking: 221 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: boxinst_r101_fpn_ms-90k_coco - namezh: boxinst_r101_fpn_ms-90k_coco + - nameen: queryinst_r50_fpn_300-proposals_crop-ms-480-800-3x_coco + namezh: queryinst_r50_fpn_300-proposals_crop-ms-480-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4993 - datasetA: 0.267 - datasetB: 0.758 - ranking: 222 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_hrnetv2p-w32-1x_coco - namezh: faster-rcnn_hrnetv2p-w32-1x_coco + - nameen: queryinst_r101_fpn_ms-480-800-3x_coco + namezh: queryinst_r101_fpn_ms-480-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4023 - datasetA: 0.267 - datasetB: 0.803 - ranking: 223 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_fpg-chn128_crop640_50e_coco - namezh: retinanet_r50_fpg-chn128_crop640_50e_coco + - nameen: queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco + namezh: queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9453 - datasetA: 0.266 - datasetB: 0.743 - ranking: 224 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_contrib_2x_coco - namezh: mask-rcnn_r50_fpn_gn-all_contrib_2x_coco + - nameen: mask-rcnn_regnetx-3.2GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-3.2GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4150 - datasetA: 0.266 - datasetB: 0.774 - ranking: 225 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: conditional-detr_r50_8xb2-50e_coco.py - namezh: conditional-detr_r50_8xb2-50e_coco.py + - nameen: mask-rcnn_regnetx-4GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-4GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5147 - datasetA: 0.266 - datasetB: 0.734 - ranking: 226 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_x101-32x4d_fpn_2x_coco - namezh: faster-rcnn_x101-32x4d_fpn_2x_coco + - nameen: mask-rcnn_regnetx-6.4GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-6.4GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2983 - datasetA: 0.266 - datasetB: 0.731 - ranking: 227 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_x101-64x4d_fpn_ms-640-800-3x_coco - namezh: retinanet_x101-64x4d_fpn_ms-640-800-3x_coco + - nameen: mask-rcnn_regnetx-8GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-8GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9285 - datasetA: 0.266 - datasetB: 0.786 - ranking: 228 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco - namezh: mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_regnetx-12GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-12GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 360 - datasetA: 0.265 - datasetB: 0.801 - ranking: 229 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_hrnetv2p-w32-gn-head_4xb4-1x_coco - namezh: fcos_hrnetv2p-w32-gn-head_4xb4-1x_coco + - nameen: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco + namezh: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 516 - datasetA: 0.265 - datasetB: 0.652 - ranking: 230 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: tridentnet_r50-caffe_ms-3x_coco - namezh: tridentnet_r50-caffe_ms-3x_coco + - nameen: faster-rcnn_regnetx-3.2GF_fpn_1x_coco + namezh: faster-rcnn_regnetx-3.2GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8461 - datasetA: 0.265 - datasetB: 0.760 - ranking: 231 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r50_fpn_1x_coco - namezh: htc_r50_fpn_1x_coco + - nameen: faster-rcnn_regnetx-3.2GF_fpn_2x_coco + namezh: faster-rcnn_regnetx-3.2GF_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2204 - datasetA: 0.265 - datasetB: 0.717 - ranking: 232 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-faster-rcnn_r101_fpn_1x_coco - namezh: sabl-faster-rcnn_r101_fpn_1x_coco + - nameen: retinanet_regnetx-800MF_fpn_1x_coco + namezh: retinanet_regnetx-800MF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3358 - datasetA: 0.265 - datasetB: 0.733 - ranking: 233 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_nasfpn_crop640-50e_coco - namezh: retinanet_r50_nasfpn_crop640-50e_coco + - nameen: retinanet_regnetx-1.6GF_fpn_1x_coco + namezh: retinanet_regnetx-1.6GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4865 - datasetA: 0.264 - datasetB: 0.823 - ranking: 234 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_rsb-pretrain_1x_coco - namezh: faster-rcnn_r50_fpn_rsb-pretrain_1x_coco + - nameen: retinanet_regnetx-3.2GF_fpn_1x_coco + namezh: retinanet_regnetx-3.2GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3000 - datasetA: 0.264 - datasetB: 0.698 - ranking: 235 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: grid-rcnn_r101_fpn_gn-head_2x_coco - namezh: grid-rcnn_r101_fpn_gn-head_2x_coco + - nameen: faster-rcnn_regnetx-400MF_fpn_ms-3x_coco + namezh: faster-rcnn_regnetx-400MF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4819 - datasetA: 0.264 - datasetB: 0.790 - ranking: 236 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco + - nameen: faster-rcnn_regnetx-800MF_fpn_ms-3x_coco + namezh: faster-rcnn_regnetx-800MF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4152 - datasetA: 0.264 - datasetB: 0.800 - ranking: 237 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: atss_r101_fpn_1x_coco - namezh: atss_r101_fpn_1x_coco + - nameen: faster-rcnn_regnetx-1.6GF_fpn_ms-3x_coco + namezh: faster-rcnn_regnetx-1.6GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7340 - datasetA: 0.264 - datasetB: 0.724 - ranking: 238 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco - namezh: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco + - nameen: faster-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + namezh: faster-rcnn_regnetx-3.2GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7692 - datasetA: 0.263 - datasetB: 0.681 - ranking: 239 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_x101-64x4d_fpn_2x_coco - namezh: retinanet_x101-64x4d_fpn_2x_coco + - nameen: faster-rcnn_regnetx-4GF_fpn_ms-3x_coco + namezh: faster-rcnn_regnetx-4GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9412 - datasetA: 0.263 - datasetB: 0.824 - ranking: 240 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w18-2x_coco - namezh: mask-rcnn_hrnetv2p-w18-2x_coco + - nameen: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + namezh: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 645 - datasetA: 0.263 - datasetB: 0.707 - ranking: 241 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_regnetx-3.2GF_fpn_2x_coco - namezh: faster-rcnn_regnetx-3.2GF_fpn_2x_coco + - nameen: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco + namezh: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6725 - datasetA: 0.263 - datasetB: 0.709 - ranking: 242 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: pisa_retinanet_x101_32x4d_fpn_1x_coco - namezh: pisa_retinanet_x101_32x4d_fpn_1x_coco + - nameen: mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco + namezh: mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 345 - datasetA: 0.263 - datasetB: 0.758 - ranking: 243 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-3.2GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-3.2GF_fpn_1x_coco + - nameen: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco + namezh: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6711 - datasetA: 0.262 - datasetB: 0.781 - ranking: 244 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-retinanet_r101-gn_fpn_1x_coco - namezh: sabl-retinanet_r101-gn_fpn_1x_coco + - nameen: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + namezh: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8621 - datasetA: 0.262 - datasetB: 0.789 - ranking: 245 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco - namezh: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco + namezh: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1428 - datasetA: 0.261 - datasetB: 0.718 - ranking: 246 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: tood_r50_fpn_anchor-based_1x_coco - namezh: tood_r50_fpn_anchor-based_1x_coco + - nameen: cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6840 - datasetA: 0.261 - datasetB: 0.757 - ranking: 247 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_x101-32x4d_fpn_2x_coco - namezh: retinanet_x101-32x4d_fpn_2x_coco + - nameen: cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3917 - datasetA: 0.260 - datasetB: 0.719 - ranking: 248 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ddod_r50_fpn_1x_coco - namezh: ddod_r50_fpn_1x_coco + - nameen: cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9788 - datasetA: 0.260 - datasetB: 0.729 - ranking: 249 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_x101-32x4d_fpn_1x_coco - namezh: retinanet_x101-32x4d_fpn_1x_coco + - nameen: cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1135 - datasetA: 0.260 - datasetB: 0.770 - ranking: 250 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-syncbn_fpn_1x_coco - namezh: mask-rcnn_r101-syncbn_fpn_1x_coco + - nameen: cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1199 - datasetA: 0.260 - datasetB: 0.774 - ranking: 251 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_pvtv2-b0_fpn_1x_coco - namezh: retinanet_pvtv2-b0_fpn_1x_coco + - nameen: reppoints-bbox_r50_fpn-gn_head-gn-grid_1x_coco + namezh: reppoints-bbox_r50_fpn-gn_head-gn-grid_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5877 - datasetA: 0.259 - datasetB: 0.657 - ranking: 252 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_2x_coco - namezh: mask-rcnn_r101_fpn_2x_coco + - nameen: reppoints-bbox_r50-center_fpn-gn_head-gn-grid_1x_coco + namezh: reppoints-bbox_r50-center_fpn-gn_head-gn-grid_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1022 - datasetA: 0.259 - datasetB: 0.657 - ranking: 253 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r50_fpn_1x_coco - namezh: queryinst_r50_fpn_1x_coco + - nameen: reppoints-moment_r50_fpn_1x_coco + namezh: reppoints-moment_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9249 - datasetA: 0.259 - datasetB: 0.509 - ranking: 254 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: lad_r50-paa-r101_fpn_2xb8_coco_1x - namezh: lad_r50-paa-r101_fpn_2xb8_coco_1x + - nameen: reppoints-moment_r50_fpn-gn_head-gn_1x_coco + namezh: reppoints-moment_r50_fpn-gn_head-gn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4827 - datasetA: 0.258 - datasetB: 0.684 - ranking: 255 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_20e_coco - namezh: cascade-mask-rcnn_r50_fpn_20e_coco + - nameen: reppoints-moment_r50_fpn-gn_head-gn_2x_coco + namezh: reppoints-moment_r50_fpn-gn_head-gn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9591 - datasetA: 0.257 - datasetB: 0.781 - ranking: 256 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-6.4GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-6.4GF_fpn_1x_coco + - nameen: reppoints-moment_r101_fpn-gn_head-gn_2x_coco + namezh: reppoints-moment_r101_fpn-gn_head-gn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8995 - datasetA: 0.257 - datasetB: 0.729 - ranking: 257 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: freeanchor_r101_fpn_1x_coco - namezh: freeanchor_r101_fpn_1x_coco + - nameen: reppoints-moment_r101-dconv-c3-c5_fpn-gn_head-gn_2x_coco + namezh: reppoints-moment_r101-dconv-c3-c5_fpn-gn_head-gn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9048 - datasetA: 0.257 - datasetB: 0.772 - ranking: 258 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: paa_r50_fpn_2x_coco - namezh: paa_r50_fpn_2x_coco + - nameen: reppoints-moment_x101-dconv-c3-c5_fpn-gn_head-gn_2x_coco + namezh: reppoints-moment_x101-dconv-c3-c5_fpn-gn_head-gn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 342 - datasetA: 0.257 - datasetB: 0.676 - ranking: 259 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_hrnetv2p-w18-2x_coco - namezh: faster-rcnn_hrnetv2p-w18-2x_coco + - nameen: faster-rcnn_res2net-101_fpn_2x_coco + namezh: faster-rcnn_res2net-101_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5479 - datasetA: 0.257 - datasetB: 0.737 - ranking: 260 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r101_fpn_ms-640-800-3x_coco - namezh: retinanet_r101_fpn_ms-640-800-3x_coco + - nameen: mask-rcnn_res2net-101_fpn_2x_coco + namezh: mask-rcnn_res2net-101_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5421 - datasetA: 0.257 - datasetB: 0.782 - ranking: 261 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rpn_faster-rcnn_r50-caffe_fpn_1x_coco - namezh: cascade-rpn_faster-rcnn_r50-caffe_fpn_1x_coco + - nameen: cascade-rcnn_res2net-101_fpn_20e_coco + namezh: cascade-rcnn_res2net-101_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3981 - datasetA: 0.257 - datasetB: 0.806 - ranking: 262 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-caffe_fpn_1x_coco - namezh: mask-rcnn_r101-caffe_fpn_1x_coco + - nameen: cascade-mask-rcnn_res2net-101_fpn_20e_coco + namezh: cascade-mask-rcnn_res2net-101_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2261 - datasetA: 0.257 - datasetB: 0.778 - ranking: 263 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_1x_coco - namezh: mask-rcnn_r101_fpn_1x_coco + - nameen: htc_res2net-101_fpn_20e_coco + namezh: htc_res2net-101_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4428 - datasetA: 0.256 - datasetB: 0.823 - ranking: 264 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_regnetx-3.2GF_fpn_1x_coco - namezh: faster-rcnn_regnetx-3.2GF_fpn_1x_coco + - nameen: faster-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco + namezh: faster-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8537 - datasetA: 0.256 - datasetB: 0.773 - ranking: 265 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: reppoints-moment_r101_fpn-gn_head-gn_2x_coco - namezh: reppoints-moment_r101_fpn-gn_head-gn_2x_coco + - nameen: faster-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco + namezh: faster-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3800 - datasetA: 0.255 - datasetB: 0.670 - ranking: 266 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco - namezh: cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco + - nameen: mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco + namezh: mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7325 - datasetA: 0.255 - datasetB: 0.742 - ranking: 267 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_r101-caffe_fpn_1x_coco - namezh: ms-rcnn_r101-caffe_fpn_1x_coco + - nameen: mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco + namezh: mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5914 - datasetA: 0.255 - datasetB: 0.695 - ranking: 268 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50-caffe_fpn_1x_coco - namezh: cascade-mask-rcnn_r50-caffe_fpn_1x_coco + - nameen: cascade-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco + namezh: cascade-rcnn_s50_fpn_syncbn-backbone+head_ms-range-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3740 - datasetA: 0.255 - datasetB: 0.798 - ranking: 269 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_mstrain-poly_3x_coco - namezh: mask-rcnn_r50_fpn_mstrain-poly_3x_coco + - nameen: cascade-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco + namezh: cascade-rcnn_s101_fpn_syncbn-backbone+head_ms-range-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 294 - datasetA: 0.255 - datasetB: 0.743 - ranking: 270 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_attention_0010_1x_coco - namezh: faster-rcnn_r50_fpn_attention_0010_1x_coco + - nameen: cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco + namezh: cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7417 - datasetA: 0.254 - datasetB: 0.754 - ranking: 271 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: paa_r50_fpn_1.5x_coco - namezh: paa_r50_fpn_1.5x_coco + - nameen: cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco + namezh: cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 103 - datasetA: 0.254 - datasetB: 0.675 - ranking: 272 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_instaboost_4x_coco - namezh: mask-rcnn_r50_fpn_instaboost_4x_coco + - nameen: faster-rcnn_r50_fpn_rsb-pretrain_1x_coco + namezh: faster-rcnn_r50_fpn_rsb-pretrain_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2733 - datasetA: 0.254 - datasetB: 0.794 - ranking: 273 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_regnetx-1.6GF_fpn_ms-3x_coco - namezh: faster-rcnn_regnetx-1.6GF_fpn_ms-3x_coco + - nameen: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco + namezh: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2460 - datasetA: 0.254 - datasetB: 0.726 - ranking: 274 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_r101-caffe_fpn_gn-head_ms-640-800-2x_coco - namezh: fcos_r101-caffe_fpn_gn-head_ms-640-800-2x_coco + - nameen: retinanet_r50-rsb-pre_fpn_1x_coco + namezh: retinanet_r50-rsb-pre_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7752 - datasetA: 0.254 - datasetB: 0.714 - ranking: 275 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fovea_r101_fpn_gn-head-align_4xb4-2x_coco - namezh: fovea_r101_fpn_gn-head-align_4xb4-2x_coco + - nameen: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco + namezh: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6335 - datasetA: 0.253 - datasetB: 0.726 - ranking: 276 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_r101-caffe_fpn_2x_coco - namezh: ms-rcnn_r101-caffe_fpn_2x_coco + - nameen: retinanet_r18_fpn_1x_coco + namezh: retinanet_r18_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4946 - datasetA: 0.253 - datasetB: 0.773 - ranking: 277 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r101_fpn_1x_coco - namezh: faster-rcnn_r101_fpn_1x_coco + - nameen: retinanet_r18_fpn_1xb8-1x_coco + namezh: retinanet_r18_fpn_1xb8-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2378 - datasetA: 0.253 - datasetB: 0.755 - ranking: 278 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fovea_r50_fpn_gn-head-align_ms-640-800-4xb4-2x_coco - namezh: fovea_r50_fpn_gn-head-align_ms-640-800-4xb4-2x_coco + - nameen: retinanet_r50-caffe_fpn_1x_coco + namezh: retinanet_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 803 - datasetA: 0.252 - datasetB: 0.832 - ranking: 279 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-cascade-rcnn_r50_fpn_1x_coco - namezh: sabl-cascade-rcnn_r50_fpn_1x_coco + - nameen: retinanet_r50_fpn_1x_coco + namezh: retinanet_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3761 - datasetA: 0.252 - datasetB: 0.779 - ranking: 280 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r50_fpn_20e_coco - namezh: cascade-rcnn_r50_fpn_20e_coco + - nameen: retinanet_r50_fpn_amp-1x_coco + namezh: retinanet_r50_fpn_amp-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3727 - datasetA: 0.252 - datasetB: 0.810 - ranking: 281 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_1x_coco - namezh: cascade-mask-rcnn_r50_fpn_1x_coco + - nameen: retinanet_r50_fpn_2x_coco + namezh: retinanet_r50_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5665 - datasetA: 0.251 - datasetB: 0.795 - ranking: 282 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco - namezh: mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco + - nameen: retinanet_r50_fpn_ms-640-800-3x_coco + namezh: retinanet_r50_fpn_ms-640-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8923 - datasetA: 0.251 - datasetB: 0.792 - ranking: 283 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r101_fpn_2x_coco - namezh: faster-rcnn_r101_fpn_2x_coco + - nameen: retinanet_r101-caffe_fpn_1x_coco + namezh: retinanet_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8764 - datasetA: 0.251 - datasetB: 0.779 - ranking: 284 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r101-caffe_fpn_1x_coco - namezh: faster-rcnn_r101-caffe_fpn_1x_coco + - nameen: retinanet_r101-caffe_fpn_ms-3x_coco + namezh: retinanet_r101-caffe_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4045 - datasetA: 0.251 - datasetB: 0.721 - ranking: 285 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_tnr-pretrain_1x_coco - namezh: faster-rcnn_r50_fpn_tnr-pretrain_1x_coco + - nameen: retinanet_r101_fpn_1x_coco + namezh: retinanet_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8644 - datasetA: 0.250 - datasetB: 0.734 - ranking: 286 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r101-caffe_fpn_ms-3x_coco - namezh: retinanet_r101-caffe_fpn_ms-3x_coco + - nameen: retinanet_r101_fpn_2x_coco + namezh: retinanet_r101_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1009 - datasetA: 0.249 - datasetB: 0.715 - ranking: 287 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_hrnetv2p-w18-gn-head_4xb4-2x_coco - namezh: fcos_hrnetv2p-w18-gn-head_4xb4-2x_coco + - nameen: retinanet_r101_fpn_ms-640-800-3x_coco + namezh: retinanet_r101_fpn_ms-640-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4492 - datasetA: 0.248 - datasetB: 0.735 - ranking: 288 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r50-caffe_fpn_1x_coco - namezh: cascade-rcnn_r50-caffe_fpn_1x_coco + - nameen: retinanet_x101-32x4d_fpn_1x_coco + namezh: retinanet_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7902 - datasetA: 0.248 - datasetB: 0.797 - ranking: 289 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_mstrain_3x_coco - namezh: faster-rcnn_r50_fpn_mstrain_3x_coco + - nameen: retinanet_x101-32x4d_fpn_2x_coco + namezh: retinanet_x101-32x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 624 - datasetA: 0.248 - datasetB: 0.699 - ranking: 290 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_regnetx-3.2GF_fpn_1x_coco - namezh: retinanet_regnetx-3.2GF_fpn_1x_coco + - nameen: retinanet_x101-64x4d_fpn_1x_coco + namezh: retinanet_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2315 - datasetA: 0.248 - datasetB: 0.754 - ranking: 291 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-retinanet_r101_fpn_1x_coco - namezh: sabl-retinanet_r101_fpn_1x_coco + - nameen: retinanet_x101-64x4d_fpn_2x_coco + namezh: retinanet_x101-64x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8514 - datasetA: 0.248 - datasetB: 0.714 - ranking: 292 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: dh-faster-rcnn_r50_fpn_1x_coco - namezh: dh-faster-rcnn_r50_fpn_1x_coco + - nameen: retinanet_x101-64x4d_fpn_ms-640-800-3x_coco + namezh: retinanet_x101-64x4d_fpn_ms-640-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8435 - datasetA: 0.247 - datasetB: 0.753 - ranking: 293 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w18-1x_coco - namezh: mask-rcnn_hrnetv2p-w18-1x_coco + - nameen: rpn_r50-caffe_fpn_1x_coco + namezh: rpn_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5804 - datasetA: 0.247 - datasetB: 0.666 - ranking: 294 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50-rsb-pre_fpn_1x_coco - namezh: retinanet_r50-rsb-pre_fpn_1x_coco + - nameen: rpn_r50_fpn_1x_coco + namezh: rpn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7000 - datasetA: 0.247 - datasetB: 0.740 - ranking: 295 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: gfl_r50_fpn_1x_coco - namezh: gfl_r50_fpn_1x_coco + - nameen: rpn_r50_fpn_2x_coco + namezh: rpn_r50_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1776 - datasetA: 0.246 - datasetB: 0.717 - ranking: 296 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: autoassign_r50-caffe_fpn_1x_coco - namezh: autoassign_r50-caffe_fpn_1x_coco + - nameen: rpn_r101-caffe_fpn_1x_coco + namezh: rpn_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4043 - datasetA: 0.246 - datasetB: 0.776 - ranking: 297 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: paa_r50_fpn_1x_coco - namezh: paa_r50_fpn_1x_coco + - nameen: rpn_x101-32x4d_fpn_1x_coco + namezh: rpn_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3321 - datasetA: 0.246 - datasetB: 0.649 - ranking: 298 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_hrnetv2p-w18-gn-head_ms-640-800-4xb4-2x_coco - namezh: fcos_hrnetv2p-w18-gn-head_ms-640-800-4xb4-2x_coco + - nameen: rpn_x101-32x4d_fpn_2x_coco + namezh: rpn_x101-32x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8879 - datasetA: 0.246 - datasetB: 0.711 - ranking: 299 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco - namezh: mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco + - nameen: rpn_x101-64x4d_fpn_1x_coco + namezh: rpn_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4876 - datasetA: 0.246 - datasetB: 0.718 - ranking: 300 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco - namezh: mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco + - nameen: rpn_x101-64x4d_fpn_2x_coco + namezh: rpn_x101-64x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5841 - datasetA: 0.245 - datasetB: 0.806 - ranking: 301 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-rcnn_r50_fpn_1x_coco - namezh: cascade-rcnn_r50_fpn_1x_coco + - nameen: rtmdet_tiny_8xb32-300e_coco + namezh: rtmdet_tiny_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4243 - datasetA: 0.245 - datasetB: 0.826 - ranking: 302 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_carafe_1x_coco - namezh: mask-rcnn_r50_fpn_carafe_1x_coco + - nameen: rtmdet_s_8xb32-300e_coco + namezh: rtmdet_s_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2941 - datasetA: 0.245 - datasetB: 0.779 - ranking: 303 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: tridentnet_r50-caffe_ms-1x_coco - namezh: tridentnet_r50-caffe_ms-1x_coco + - nameen: rtmdet_m_8xb32-300e_coco + namezh: rtmdet_m_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 352 - datasetA: 0.244 - datasetB: 0.766 - ranking: 304 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fsaf_r101_fpn_1x_coco - namezh: fsaf_r101_fpn_1x_coco + - nameen: rtmdet_l_8xb32-300e_coco + namezh: rtmdet_l_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9511 - datasetA: 0.244 - datasetB: 0.751 - ranking: 305 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50-caffe_fpn_ms-3x_coco - namezh: faster-rcnn_r50-caffe_fpn_ms-3x_coco + - nameen: rtmdet_x_8xb32-300e_coco + namezh: rtmdet_x_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8684 - datasetA: 0.244 - datasetB: 0.725 - ranking: 306 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: centernet-update_r50-caffe_fpn_ms-1x_coco - namezh: centernet-update_r50-caffe_fpn_ms-1x_coco + - nameen: rtmdet-ins_tiny_8xb32-300e_coco + namezh: rtmdet-ins_tiny_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7941 - datasetA: 0.243 - datasetB: 0.822 - ranking: 307 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r101_fpn_2x_coco - namezh: retinanet_r101_fpn_2x_coco + - nameen: rtmdet-ins_s_8xb32-300e_coco + namezh: rtmdet-ins_s_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4237 - datasetA: 0.242 - datasetB: 0.781 - ranking: 308 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fovea_r101_fpn_4xb4-2x_coco - namezh: fovea_r101_fpn_4xb4-2x_coco + - nameen: rtmdet-ins_m_8xb32-300e_coco + namezh: rtmdet-ins_m_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9895 - datasetA: 0.242 - datasetB: 0.769 - ranking: 309 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fovea_r101_fpn_4xb4-1x_coco - namezh: fovea_r101_fpn_4xb4-1x_coco + - nameen: rtmdet-ins_l_8xb32-300e_coco + namezh: rtmdet-ins_l_8xb32-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9477 - datasetA: 0.242 - datasetB: 0.722 - ranking: 310 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: tridentnet_r50-caffe_1x_coco - namezh: tridentnet_r50-caffe_1x_coco + - nameen: rtmdet-ins_x_8xb16-300e_coco + namezh: rtmdet-ins_x_8xb16-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9927 - datasetA: 0.242 - datasetB: 0.710 - ranking: 311 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_r101-caffe_fpn_gn-head-1x_coco - namezh: fcos_r101-caffe_fpn_gn-head-1x_coco + - nameen: sabl-faster-rcnn_r50_fpn_1x_coco + namezh: sabl-faster-rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1883 - datasetA: 0.242 - datasetB: 0.735 - ranking: 312 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: grid-rcnn_r50_fpn_gn-head_2x_coco - namezh: grid-rcnn_r50_fpn_gn-head_2x_coco + - nameen: sabl-faster-rcnn_r101_fpn_1x_coco + namezh: sabl-faster-rcnn_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6502 - datasetA: 0.242 - datasetB: 0.766 - ranking: 313 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_carafe_1x_coco - namezh: faster-rcnn_r50_fpn_carafe_1x_coco + - nameen: sabl-cascade-rcnn_r50_fpn_1x_coco + namezh: sabl-cascade-rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9640 - datasetA: 0.241 - datasetB: 0.778 - ranking: 314 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r101_fpn_ghm-1x_coco - namezh: retinanet_r101_fpn_ghm-1x_coco + - nameen: sabl-cascade-rcnn_r101_fpn_1x_coco + namezh: sabl-cascade-rcnn_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9711 - datasetA: 0.241 - datasetB: 0.772 - ranking: 315 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: detr_r50_8xb2-150e_coco - namezh: detr_r50_8xb2-150e_coco + - nameen: sabl-retinanet_r50_fpn_1x_coco + namezh: sabl-retinanet_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4585 - datasetA: 0.241 - datasetB: 0.651 - ranking: 316 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r101_fpn_1x_coco - namezh: retinanet_r101_fpn_1x_coco + - nameen: sabl-retinanet_r50-gn_fpn_1x_coco + namezh: sabl-retinanet_r50-gn_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1072 - datasetA: 0.241 - datasetB: 0.747 - ranking: 317 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50-caffe_fpn_ms-2x_coco - namezh: faster-rcnn_r50-caffe_fpn_ms-2x_coco + - nameen: sabl-retinanet_r101_fpn_1x_coco + namezh: sabl-retinanet_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4097 - datasetA: 0.241 - datasetB: 0.767 - ranking: 318 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_fpn_crop640-50e_coco - namezh: retinanet_r50_fpn_crop640-50e_coco + - nameen: sabl-retinanet_r101-gn_fpn_1x_coco + namezh: sabl-retinanet_r101-gn_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1416 - datasetA: 0.240 - datasetB: 0.750 - ranking: 319 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: libra-faster-rcnn_r50_fpn_1x_coco - namezh: libra-faster-rcnn_r50_fpn_1x_coco + - nameen: sabl-retinanet_r101-gn_fpn_ms-640-800-2x_coco + namezh: sabl-retinanet_r101-gn_fpn_ms-640-800-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3203 - datasetA: 0.240 - datasetB: 0.708 - ranking: 320 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: nas-fcos_r50-caffe_fpn_nashead-gn-head_4xb4-1x_coco - namezh: nas-fcos_r50-caffe_fpn_nashead-gn-head_4xb4-1x_coco + - nameen: sabl-retinanet_r101-gn_fpn_ms-480-960-2x_coco + namezh: sabl-retinanet_r101-gn_fpn_ms-480-960-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9561 - datasetA: 0.240 - datasetB: 0.757 - ranking: 321 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: condinst_r50_fpn_ms-poly-90k_coco_instance - namezh: condinst_r50_fpn_ms-poly-90k_coco_instance + - nameen: scnet_r50_fpn_1x_coco + namezh: scnet_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8490 - datasetA: 0.239 - datasetB: 0.766 - ranking: 322 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: pisa_mask_rcnn_r50_fpn_1x_coco - namezh: pisa_mask_rcnn_r50_fpn_1x_coco + - nameen: scnet_r50_fpn_20e_coco + namezh: scnet_r50_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5956 - datasetA: 0.239 - datasetB: 0.786 - ranking: 323 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_hrnetv2p-w18-1x_coco - namezh: faster-rcnn_hrnetv2p-w18-1x_coco + - nameen: scnet_r101_fpn_20e_coco + namezh: scnet_r101_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4075 - datasetA: 0.239 - datasetB: 0.725 - ranking: 324 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_albu-1x_coco - namezh: mask-rcnn_r50_fpn_albu-1x_coco + - nameen: scnet_x101-64x4d_fpn_20e_coco + namezh: scnet_x101-64x4d_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6022 - datasetA: 0.239 - datasetB: 0.768 - ranking: 325 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: atss_r50_fpn_1x_coco - namezh: atss_r50_fpn_1x_coco + - nameen: faster-rcnn_r50_fpn_gn-all_scratch_6x_coco + namezh: faster-rcnn_r50_fpn_gn-all_scratch_6x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8054 - datasetA: 0.239 - datasetB: 0.645 - ranking: 326 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: reppoints-moment_r50_fpn-gn_head-gn_2x_coco - namezh: reppoints-moment_r50_fpn-gn_head-gn_2x_coco + - nameen: mask-rcnn_r50_fpn_gn-all_scratch_6x_coco + namezh: mask-rcnn_r50_fpn_gn-all_scratch_6x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9249 - datasetA: 0.238 - datasetB: 0.701 - ranking: 327 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_regnetx-800MF_fpn_ms-3x_coco - namezh: faster-rcnn_regnetx-800MF_fpn_ms-3x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_270k_coco + namezh: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_270k_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4767 - datasetA: 0.238 - datasetB: 0.692 - ranking: 328 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_2x_coco - namezh: mask-rcnn_r50_fpn_2x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_90k_coco + namezh: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_90k_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9361 - datasetA: 0.237 - datasetB: 0.732 - ranking: 329 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: boxinst_r50_fpn_ms-90k_coco - namezh: boxinst_r50_fpn_ms-90k_coco + - nameen: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_270k_coco + namezh: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_270k_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7505 - datasetA: 0.237 - datasetB: 0.723 - ranking: 330 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-faster-rcnn_r50_fpn_1x_coco - namezh: sabl-faster-rcnn_r50_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_90k_coco + namezh: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_90k_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2086 - datasetA: 0.237 - datasetB: 0.754 - ranking: 331 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r101-caffe_fpn_1x_coco - namezh: retinanet_r101-caffe_fpn_1x_coco + - nameen: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.01-coco.py + namezh: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.01-coco.py paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1250 - datasetA: 0.236 - datasetB: 0.735 - ranking: 332 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_groie_1x_coco - namezh: mask-rcnn_r50_fpn_groie_1x_coco + - nameen: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.02-coco.py + namezh: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.02-coco.py paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4827 - datasetA: 0.236 - datasetB: 0.788 - ranking: 333 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50-caffe-dc5_mstrain_3x_coco - namezh: faster-rcnn_r50-caffe-dc5_mstrain_3x_coco + - nameen: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.05-coco.py + namezh: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.05-coco.py paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 894 - datasetA: 0.236 - datasetB: 0.731 - ranking: 334 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_fpn_ms-640-800-3x_coco - namezh: retinanet_r50_fpn_ms-640-800-3x_coco + - nameen: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.1-coco.py + namezh: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.1-coco.py paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2214 - datasetA: 0.236 - datasetB: 0.731 - ranking: 335 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_mdpool_1x_coco - namezh: faster-rcnn_r50_fpn_mdpool_1x_coco + - nameen: sparse-rcnn_r50_fpn_1x_coco + namezh: sparse-rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7590 - datasetA: 0.234 - datasetB: 0.822 - ranking: 336 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: dynamic-rcnn_r50_fpn_1x_coco - namezh: dynamic-rcnn_r50_fpn_1x_coco + - nameen: sparse-rcnn_r50_fpn_ms-480-800-3x_coco + namezh: sparse-rcnn_r50_fpn_ms-480-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4036 - datasetA: 0.234 - datasetB: 0.788 - ranking: 337 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_r50-caffe_fpn_1x_coco - namezh: ms-rcnn_r50-caffe_fpn_1x_coco + - nameen: sparse-rcnn_r50_fpn_300-proposals_crop-ms-480-800-3x_coco + namezh: sparse-rcnn_r50_fpn_300-proposals_crop-ms-480-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7193 - datasetA: 0.234 - datasetB: 0.708 - ranking: 338 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: reppoints-moment_r50_fpn-gn_head-gn_1x_coco - namezh: reppoints-moment_r50_fpn-gn_head-gn_1x_coco + - nameen: sparse-rcnn_r101_fpn_ms-480-800-3x_coco + namezh: sparse-rcnn_r101_fpn_ms-480-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9006 - datasetA: 0.234 - datasetB: 0.702 - ranking: 339 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_dpool_1x_coco - namezh: faster-rcnn_r50_fpn_dpool_1x_coco + - nameen: sparse-rcnn_r101_fpn_300-proposals_crop-ms-480-800-3x_coco + namezh: sparse-rcnn_r101_fpn_300-proposals_crop-ms-480-800-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 443 - datasetA: 0.234 - datasetB: 0.725 - ranking: 340 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50-caffe_fpn_1x_coco - namezh: mask-rcnn_r50-caffe_fpn_1x_coco + - nameen: decoupled-solo_r50_fpn_1x_coco + namezh: decoupled-solo_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8641 - datasetA: 0.234 - datasetB: 0.769 - ranking: 341 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-retinanet_r50-gn_fpn_1x_coco - namezh: sabl-retinanet_r50-gn_fpn_1x_coco + - nameen: decoupled-solo_r50_fpn_3x_coco + namezh: decoupled-solo_r50_fpn_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7010 - datasetA: 0.233 - datasetB: 0.746 - ranking: 342 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_groie_1x_coco - namezh: faster-rcnn_r50_fpn_groie_1x_coco + - nameen: decoupled-solo-light_r50_fpn_3x_coco + namezh: decoupled-solo-light_r50_fpn_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2765 - datasetA: 0.233 - datasetB: 0.716 - ranking: 343 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: nas-fcos_r50-caffe_fpn_fcoshead-gn-head_4xb4-1x_coco - namezh: nas-fcos_r50-caffe_fpn_fcoshead-gn-head_4xb4-1x_coco + - nameen: solo_r50_fpn_3x_coco + namezh: solo_r50_fpn_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4293 - datasetA: 0.233 - datasetB: 0.744 - ranking: 344 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: pisa_faster_rcnn_r50_fpn_1x_coco - namezh: pisa_faster_rcnn_r50_fpn_1x_coco + - nameen: solo_r50_fpn_1x_coco + namezh: solo_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4318 - datasetA: 0.232 - datasetB: 0.791 - ranking: 345 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fovea_r50_fpn_gn-head-align_4xb4-2x_coco - namezh: fovea_r50_fpn_gn-head-align_4xb4-2x_coco + - nameen: solov2_r50_fpn_1x_coco + namezh: solov2_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 575 - datasetA: 0.232 - datasetB: 0.746 - ranking: 346 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: freeanchor_r50_fpn_1x_coco - namezh: freeanchor_r50_fpn_1x_coco + - nameen: solov2_r50_fpn_ms-3x_coco + namezh: solov2_r50_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8135 - datasetA: 0.231 - datasetB: 0.742 - ranking: 347 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_1x_coco - namezh: mask-rcnn_r50_fpn_1x_coco + - nameen: solov2_r101-dcn_fpn_ms-3x_coco + namezh: solov2_r101-dcn_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1530 - datasetA: 0.230 - datasetB: 0.785 - ranking: 348 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_syncbn-backbone_1x_coco - namezh: mask-rcnn_r50_fpn_syncbn-backbone_1x_coco + - nameen: solov2_x101-dcn_fpn_ms-3x_coco + namezh: solov2_x101-dcn_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6873 - datasetA: 0.230 - datasetB: 0.780 - ranking: 349 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sparse-rcnn_r50_fpn_1x_coco - namezh: sparse-rcnn_r50_fpn_1x_coco + - nameen: solov2-light_r18_fpn_ms-3x_coco + namezh: solov2-light_r18_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 651 - datasetA: 0.230 - datasetB: 0.490 - ranking: 350 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_fp16_1x_coco - namezh: mask-rcnn_r50_fpn_fp16_1x_coco + - nameen: solov2-light_r50_fpn_ms-3x_coco + namezh: solov2-light_r50_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2931 - datasetA: 0.230 - datasetB: 0.819 - ranking: 351 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco - namezh: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco + - nameen: ssd300_coco + namezh: ssd300_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6282 - datasetA: 0.230 - datasetB: 0.707 - ranking: 352 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50-caffe-dc5_mstrain_1x_coco - namezh: faster-rcnn_r50-caffe-dc5_mstrain_1x_coco + - nameen: ssd512_coco + namezh: ssd512_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9575 - datasetA: 0.229 - datasetB: 0.758 - ranking: 353 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: libra-retinanet_r50_fpn_1x_coco - namezh: libra-retinanet_r50_fpn_1x_coco + - nameen: ssdlite_mobilenetv2-scratch_8xb24-600e_coco + namezh: ssdlite_mobilenetv2-scratch_8xb24-600e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5355 - datasetA: 0.229 - datasetB: 0.778 - ranking: 354 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_iou_1x_coco - namezh: faster-rcnn_r50_fpn_iou_1x_coco + - nameen: mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco + namezh: mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9652 - datasetA: 0.229 - datasetB: 0.734 - ranking: 355 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50-caffe-dc5_1x_coco - namezh: faster-rcnn_r50-caffe-dc5_1x_coco + - nameen: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco + namezh: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 330 - datasetA: 0.229 - datasetB: 0.805 - ranking: 356 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_2x_coco - namezh: faster-rcnn_r50_fpn_2x_coco + - nameen: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco + namezh: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3030 - datasetA: 0.229 - datasetB: 0.737 - ranking: 357 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50-caffe_fpn_1x_coco - namezh: faster-rcnn_r50-caffe_fpn_1x_coco + - nameen: mask-rcnn_swin-t-p4-w7_fpn_1x_coco + namezh: mask-rcnn_swin-t-p4-w7_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4165 - datasetA: 0.228 - datasetB: 0.740 - ranking: 358 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_r50-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco - namezh: fcos_r50-caffe_fpn_gn-head-center-normbbox-centeronreg-giou_1x_coco + - nameen: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco + namezh: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1460 - datasetA: 0.228 - datasetB: 0.727 - ranking: 359 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_giou_1x_coco - namezh: faster-rcnn_r50_fpn_giou_1x_coco + - nameen: tridentnet_r50-caffe_1x_coco + namezh: tridentnet_r50-caffe_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2649 - datasetA: 0.227 - datasetB: 0.717 - ranking: 360 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_pafpn_1x_coco - namezh: faster-rcnn_r50_pafpn_1x_coco + - nameen: tridentnet_r50-caffe_ms-1x_coco + namezh: tridentnet_r50-caffe_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5690 - datasetA: 0.227 - datasetB: 0.794 - ranking: 361 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_regnetx-1.6GF_fpn_1x_coco - namezh: retinanet_regnetx-1.6GF_fpn_1x_coco + - nameen: tridentnet_r50-caffe_ms-3x_coco + namezh: tridentnet_r50-caffe_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1709 - datasetA: 0.227 - datasetB: 0.775 - ranking: 362 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_fp16_1x_coco - namezh: faster-rcnn_r50_fpn_fp16_1x_coco + - nameen: tood_r101_fpn_ms-2x_coco + namezh: tood_r101_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8906 - datasetA: 0.226 - datasetB: 0.745 - ranking: 363 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_1x_coco - namezh: faster-rcnn_r50_fpn_1x_coco + - nameen: tood_x101-64x4d_fpn_ms-2x_coco + namezh: tood_x101-64x4d_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4061 - datasetA: 0.224 - datasetB: 0.791 - ranking: 364 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50_fpn_bounded_iou_1x_coco - namezh: faster-rcnn_r50_fpn_bounded_iou_1x_coco + - nameen: tood_r101-dconv-c3-c5_fpn_ms-2x_coco + namezh: tood_r101-dconv-c3-c5_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1292 - datasetA: 0.223 - datasetB: 0.760 - ranking: 365 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: reppoints-bbox_r50-center_fpn-gn_head-gn-grid_1x_coco - namezh: reppoints-bbox_r50-center_fpn-gn_head-gn-grid_1x_coco + - nameen: tood_r50_fpn_anchor-based_1x_coco + namezh: tood_r50_fpn_anchor-based_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6404 - datasetA: 0.222 - datasetB: 0.703 - ranking: 366 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: reppoints-bbox_r50_fpn-gn_head-gn-grid_1x_coco - namezh: reppoints-bbox_r50_fpn-gn_head-gn-grid_1x_coco + - nameen: tood_r50_fpn_1x_coco + namezh: tood_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6301 - datasetA: 0.222 - datasetB: 0.703 - ranking: 367 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_fpn_ghm-1x_coco - namezh: retinanet_r50_fpn_ghm-1x_coco + - nameen: tood_r50_fpn_ms-2x_coco + namezh: tood_r50_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2218 - datasetA: 0.222 - datasetB: 0.736 - ranking: 368 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_fpn_2x_coco - namezh: retinanet_r50_fpn_2x_coco + - nameen: vfnet_r50_fpn_1x_coco + namezh: vfnet_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3308 - datasetA: 0.221 - datasetB: 0.685 - ranking: 369 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: sabl-retinanet_r50_fpn_1x_coco - namezh: sabl-retinanet_r50_fpn_1x_coco + - nameen: vfnet_r50_fpn_ms-2x_coco + namezh: vfnet_r50_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1946 - datasetA: 0.221 - datasetB: 0.776 - ranking: 370 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_regnetx-400MF_fpn_ms-3x_coco - namezh: faster-rcnn_regnetx-400MF_fpn_ms-3x_coco + - nameen: vfnet_r50-mdconv-c3-c5_fpn_ms-2x_coco + namezh: vfnet_r50-mdconv-c3-c5_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1211 - datasetA: 0.221 - datasetB: 0.635 - ranking: 371 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fovea_r50_fpn_4xb4-2x_coco - namezh: fovea_r50_fpn_4xb4-2x_coco + - nameen: vfnet_r101_fpn_1x_coco + namezh: vfnet_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2856 - datasetA: 0.218 - datasetB: 0.753 - ranking: 372 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: reppoints-moment_r50_fpn_1x_coco - namezh: reppoints-moment_r50_fpn_1x_coco + - nameen: vfnet_r101_fpn_ms-2x_coco + namezh: vfnet_r101_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6062 - datasetA: 0.218 - datasetB: 0.766 - ranking: 373 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fsaf_r50_fpn_1x_coco - namezh: fsaf_r50_fpn_1x_coco + - nameen: vfnet_r101-mdconv-c3-c5_fpn_ms-2x_coco + namezh: vfnet_r101-mdconv-c3-c5_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2876 - datasetA: 0.217 - datasetB: 0.708 - ranking: 374 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: pisa_retinanet_r50_fpn_1x_coco - namezh: pisa_retinanet_r50_fpn_1x_coco + - nameen: vfnet_x101-32x4d-mdconv-c3-c5_fpn_ms-2x_coco + namezh: vfnet_x101-32x4d-mdconv-c3-c5_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1316 - datasetA: 0.217 - datasetB: 0.751 - ranking: 375 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fcos_r50-caffe_fpn_gn-head_1x_coco - namezh: fcos_r50-caffe_fpn_gn-head_1x_coco + - nameen: vfnet_x101-64x4d-mdconv-c3-c5_fpn_ms-2x_coco + namezh: vfnet_x101-64x4d-mdconv-c3-c5_fpn_ms-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8815 - datasetA: 0.216 - datasetB: 0.675 - ranking: 376 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: fovea_r50_fpn_4xb4-1x_coco - namezh: fovea_r50_fpn_4xb4-1x_coco + - nameen: yolact_r50_1x8_coco + namezh: yolact_r50_1x8_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5143 - datasetA: 0.216 - datasetB: 0.699 - ranking: 377 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50-caffe-c4_mstrain_1x_coco - namezh: faster-rcnn_r50-caffe-c4_mstrain_1x_coco + - nameen: yolact_r50_8x8_coco + namezh: yolact_r50_8x8_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2407 - datasetA: 0.215 - datasetB: 0.709 - ranking: 378 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_fpn_1x_coco - namezh: retinanet_r50_fpn_1x_coco + - nameen: yolact_r101_1x8_coco + namezh: yolact_r101_1x8_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3327 - datasetA: 0.215 - datasetB: 0.680 - ranking: 379 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_regnetx-800MF_fpn_1x_coco - namezh: retinanet_regnetx-800MF_fpn_1x_coco + - nameen: yolov3_d53_320_273e_coco + namezh: yolov3_d53_320_273e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4232 - datasetA: 0.215 - datasetB: 0.754 - ranking: 380 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50_fpn_amp-1x_coco - namezh: retinanet_r50_fpn_amp-1x_coco + - nameen: yolov3_d53_mstrain-416_273e_coco + namezh: yolov3_d53_mstrain-416_273e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8676 - datasetA: 0.214 - datasetB: 0.782 - ranking: 381 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: faster-rcnn_r50-caffe-c4_1x_coco - namezh: faster-rcnn_r50-caffe-c4_1x_coco + - nameen: yolov3_d53_mstrain-608_273e_coco + namezh: yolov3_d53_mstrain-608_273e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4122 - datasetA: 0.214 - datasetB: 0.759 - ranking: 382 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.1-coco.py - namezh: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.1-coco.py + - nameen: yolov3_d53_fp16_mstrain-608_273e_coco + namezh: yolov3_d53_fp16_mstrain-608_273e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6998 - datasetA: 0.212 - datasetB: 0.810 - ranking: 383 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r50-caffe_fpn_1x_coco - namezh: retinanet_r50-caffe_fpn_1x_coco + - nameen: yolov3_mobilenetv2_8xb24-320-300e_coco + namezh: yolov3_mobilenetv2_8xb24-320-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1558 - datasetA: 0.210 - datasetB: 0.728 - ranking: 384 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: centernet_r18-dcnv2_8xb16-crop512-140e_coco - namezh: centernet_r18-dcnv2_8xb16-crop512-140e_coco + - nameen: yolov3_mobilenetv2_8xb24-ms-416-300e_coco + namezh: yolov3_mobilenetv2_8xb24-ms-416-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9827 - datasetA: 0.192 - datasetB: 0.769 - ranking: 385 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.05-coco.py - namezh: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.05-coco.py + - nameen: yolof_r50_c5_8x8_1x_coco + namezh: yolof_r50_c5_8x8_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5387 - datasetA: 0.191 - datasetB: 0.789 - ranking: 386 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ssd512_coco - namezh: ssd512_coco + - nameen: yolox_s_8x8_300e_coco + namezh: yolox_s_8x8_300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5758 - datasetA: 0.177 - datasetB: 0.673 - ranking: 387 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r18_fpn_1xb8-1x_coco - namezh: retinanet_r18_fpn_1xb8-1x_coco + - nameen: yolox_l_8x8_300e_coco + namezh: yolox_l_8x8_300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2087 - datasetA: 0.176 - datasetB: 0.712 - ranking: 388 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: retinanet_r18_fpn_1x_coco - namezh: retinanet_r18_fpn_1x_coco + - nameen: yolox_x_8x8_300e_coco + namezh: yolox_x_8x8_300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8926 - datasetA: 0.175 - datasetB: 0.737 - ranking: 389 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: centernet_r18_8xb16-crop512-140e_coco - namezh: centernet_r18_8xb16-crop512-140e_coco + - nameen: yolox_tiny_8x8_300e_coco + namezh: yolox_tiny_8x8_300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1986 - datasetA: 0.167 - datasetB: 0.799 - ranking: 390 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.02-coco.py - namezh: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.02-coco.py + - titlezh: 实例分割 + titleen: Instance Segmentation - COCO + rankings: + - nameen: htc_x101_64x4d_fpn_dconv_c3-c5_mstrain_400_1400_16x1_20e_coco + namezh: htc_x101_64x4d_fpn_dconv_c3-c5_mstrain_400_1400_16x1_20e_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/HTC?athId=b42170f82908262275e7328643dcdb2f&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/HTC?athId=b42170f82908262275e7328643dcdb2f&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 1559 + datasetA: '0.334' + datasetB: '0.6576' + ranking: '1' + - nameen: >- + cascade_mask_rcnn_convnext-s_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco + namezh: >- + cascade_mask_rcnn_convnext-s_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Cascade%20Mask%20R-CNN?athId=0ec20d0f9d5914e4422d251f2ddf247b&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Cascade%20Mask%20R-CNN?athId=0ec20d0f9d5914e4422d251f2ddf247b&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 1505 + datasetA: '0.332' + datasetB: '0.6814' + ranking: '2' + - nameen: scnet_x101_64x4d_fpn_20e_coco + namezh: scnet_x101_64x4d_fpn_20e_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/SCNet?athId=17226ceb499bc933e2b73dd6633bbc2d&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/SCNet?athId=17226ceb499bc933e2b73dd6633bbc2d&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 90 + datasetA: '0.297' + datasetB: '0.6143' + ranking: '3' + - nameen: cascade_mask_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco + namezh: cascade_mask_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Deformable%20Convolutional%20Networks?athId=4aefab1107c2b0c71c3c091cc39b721d&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Deformable%20Convolutional%20Networks?athId=4aefab1107c2b0c71c3c091cc39b721d&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 1505 + datasetA: '0.287' + datasetB: '0.6733' + ranking: '4' + - nameen: cascade_mask_rcnn_x101_64x4d_fpn_mstrain_3x_coco + namezh: cascade_mask_rcnn_x101_64x4d_fpn_mstrain_3x_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Cascade%20Mask%20R-CNN?athId=0ec20d0f9d5914e4422d251f2ddf247b&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Cascade%20Mask%20R-CNN?athId=0ec20d0f9d5914e4422d251f2ddf247b&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 1505 + datasetA: '0.264' + datasetB: '0.6536' + ranking: '5' + - nameen: cascade_mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco + namezh: cascade_mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco + paper: + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Deformable%20Convolutional%20Networks?athId=4aefab1107c2b0c71c3c091cc39b721d&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Deformable%20Convolutional%20Networks?athId=4aefab1107c2b0c71c3c091cc39b721d&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 1505 + datasetA: '0.26' + datasetB: '0.6541' + ranking: '6' + - nameen: rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco + namezh: rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco paper: - text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4940 - datasetA: 0.158 - datasetB: 0.786 - ranking: 391 - - - nameen: ssd300_coco - namezh: ssd300_coco + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/RF-Next?athId=e99ac3889efff20e6fe2e8ac4ed9bc25&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/RF-Next?athId=e99ac3889efff20e6fe2e8ac4ed9bc25&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 37 + datasetA: '0.236' + datasetB: '0.6474' + ranking: '7' + - nameen: cascade_mask_rcnn_r50_caffe_fpn_1x_coco + namezh: cascade_mask_rcnn_r50_caffe_fpn_1x_coco paper: - text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9952 - datasetA: 0.145 - datasetB: 0.705 - ranking: 392 - - - nameen: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.01-coco.py - namezh: soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.01-coco.py + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Cascade%20Mask%20R-CNN?athId=0ec20d0f9d5914e4422d251f2ddf247b&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/Cascade%20Mask%20R-CNN?athId=0ec20d0f9d5914e4422d251f2ddf247b&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 1505 + datasetA: '0.219' + datasetB: '0.6275' + ranking: '8' + - nameen: yolact_r101_1x8_coco + namezh: yolact_r101_1x8_coco paper: - text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7269 - datasetA: 0.130 - datasetB: 0.839 - ranking: 393 - - - nameen: ssdlite_mobilenetv2-scratch_8xb24-600e_coco - namezh: ssdlite_mobilenetv2-scratch_8xb24-600e_coco + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/YOLACT?athId=1c39dd15015b6452c3f753766ddb5278&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/YOLACT?athId=1c39dd15015b6452c3f753766ddb5278&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 2569 + datasetA: '0.201' + datasetB: '0.6253' + ranking: '9' + - nameen: yolact_r50_8x8_coco + namezh: yolact_r50_8x8_coco paper: - text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3090 - datasetA: 0.106 - datasetB: 0.590 - ranking: 394 - - - - titlezh: 实例分割 - titleen: Instance Segmentation - COCO - rankings: - - - nameen: rtmdet-ins_x_8xb16-300e_coco - namezh: rtmdet-ins_x_8xb16-300e_coco + text: >- + https://platform.openmmlab.com/modelzoo/mmdetection/YOLACT?athId=1c39dd15015b6452c3f753766ddb5278&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + link: >- + https://platform.openmmlab.com/modelzoo/mmdetection/YOLACT?athId=1c39dd15015b6452c3f753766ddb5278&repo=mmdetection&repoNameId=a4e3d984ec9475ca950bb6baf2b2a8e2&task=Instance%20Segmentation + download: 2569 + datasetA: '0.178' + datasetB: '0.6045' + ranking: '10' + + - nameen: mask-rcnn_r50_fpn_albu-1x_coco + namezh: mask-rcnn_r50_fpn_albu-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 156 - datasetA: 0.369 - datasetB: 0.769 - ranking: 1 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_l_8xb32-300e_coco - namezh: rtmdet-ins_l_8xb32-300e_coco + - nameen: mask-rcnn_r50_fpn_carafe_1x_coco + namezh: mask-rcnn_r50_fpn_carafe_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2471 - datasetA: 0.353 - datasetB: 0.734 - ranking: 2 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco - namezh: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco + - nameen: cascade-mask-rcnn_r50-caffe_fpn_1x_coco + namezh: cascade-mask-rcnn_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9127 - datasetA: 0.348 - datasetB: 0.356 - ranking: 3 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_x101-64x4d-dconv-c3-c5_fpn_ms-400-1400-16xb1-20e_coco - namezh: htc_x101-64x4d-dconv-c3-c5_fpn_ms-400-1400-16xb1-20e_coco + - nameen: cascade-mask-rcnn_r50_fpn_1x_coco + namezh: cascade-mask-rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8333 - datasetA: 0.334 - datasetB: 0.682 - ranking: 4 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_m_8xb32-300e_coco - namezh: rtmdet-ins_m_8xb32-300e_coco + - nameen: cascade-mask-rcnn_r50_fpn_20e_coco + namezh: cascade-mask-rcnn_r50_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9225 - datasetA: 0.333 - datasetB: 0.686 - ranking: 5 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco - namezh: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco + - nameen: cascade-mask-rcnn_r101-caffe_fpn_1x_coco + namezh: cascade-mask-rcnn_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5512 - datasetA: 0.322 - datasetB: 0.135 - ranking: 6 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco - namezh: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco + - nameen: cascade-mask-rcnn_r101_fpn_1x_coco + namezh: cascade-mask-rcnn_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3362 - datasetA: 0.312 - datasetB: 0.749 - ranking: 7 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: detectors_htc-r50_1x_coco - namezh: detectors_htc-r50_1x_coco + - nameen: cascade-mask-rcnn_r101_fpn_20e_coco + namezh: cascade-mask-rcnn_r101_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8402 - datasetA: 0.303 - datasetB: 0.655 - ranking: 8 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4292 - datasetA: 0.303 - datasetB: 0.743 - ranking: 9 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco - namezh: cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d_fpn_20e_coco + namezh: cascade-mask-rcnn_x101-32x4d_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4918 - datasetA: 0.303 - datasetB: 0.677 - ranking: 10 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco + - nameen: cascade-mask-rcnn_x101-64x4d_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1595 - datasetA: 0.302 - datasetB: 0.740 - ranking: 11 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco + - nameen: cascade-mask-rcnn_x101-64x4d_fpn_20e_coco + namezh: cascade-mask-rcnn_x101-64x4d_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9773 - datasetA: 0.300 - datasetB: 0.704 - ranking: 12 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: solov2_x101-dcn_fpn_ms-3x_coco - namezh: solov2_x101-dcn_fpn_ms-3x_coco + - nameen: cascade-mask-rcnn_r50-caffe_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_r50-caffe_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4641 - datasetA: 0.300 - datasetB: 0.718 - ranking: 13 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: scnet_x101-64x4d_fpn_20e_coco - namezh: scnet_x101-64x4d_fpn_20e_coco + - nameen: cascade-mask-rcnn_r50_fpn_mstrain_3x_coco + namezh: cascade-mask-rcnn_r50_fpn_mstrain_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7848 - datasetA: 0.297 - datasetB: 0.772 - ranking: 14 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco - namezh: mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco + - nameen: cascade-mask-rcnn_r101-caffe_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_r101-caffe_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4726 - datasetA: 0.295 - datasetB: 0.695 - ranking: 15 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_s_8xb32-300e_coco - namezh: rtmdet-ins_s_8xb32-300e_coco + - nameen: cascade-mask-rcnn_r101_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_r101_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7240 - datasetA: 0.292 - datasetB: 0.685 - ranking: 16 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco - namezh: queryinst_r101_fpn_300-proposals_crop-ms-480-800-3x_coco + - nameen: cascade-mask-rcnn_x101-32x4d_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_x101-32x4d_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9438 - datasetA: 0.290 - datasetB: 0.207 - ranking: 17 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r50-sac_1x_coco - namezh: htc_r50-sac_1x_coco + - nameen: cascade-mask-rcnn_x101-32x8d_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_x101-32x8d_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5939 - datasetA: 0.289 - datasetB: 0.664 - ranking: 18 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco - namezh: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco + - nameen: cascade-mask-rcnn_x101-64x4d_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_x101-64x4d_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4850 - datasetA: 0.288 - datasetB: 0.628 - ranking: 19 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: solov2_r101-dcn_fpn_ms-3x_coco - namezh: solov2_r101-dcn_fpn_ms-3x_coco + - nameen: mask-rcnn_convnext-t-p4-w7_fpn_amp-ms-crop-3x_coco + namezh: mask-rcnn_convnext-t-p4-w7_fpn_amp-ms-crop-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5246 - datasetA: 0.287 - datasetB: 0.733 - ranking: 20 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco + - nameen: cascade-mask-rcnn_convnext-t-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco + namezh: cascade-mask-rcnn_convnext-t-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6509 - datasetA: 0.287 - datasetB: 0.684 - ranking: 21 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco + - nameen: cascade-mask-rcnn_convnext-s-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco + namezh: cascade-mask-rcnn_convnext-s-p4-w7_fpn_4conv1fc-giou_amp-ms-crop-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8934 - datasetA: 0.286 - datasetB: 0.703 - ranking: 22 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco - namezh: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco + - nameen: mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7987 - datasetA: 0.286 - datasetB: 0.670 - ranking: 23 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2375 - datasetA: 0.284 - datasetB: 0.760 - ranking: 24 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_res2net-101_fpn_20e_coco - namezh: htc_res2net-101_fpn_20e_coco + - nameen: mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5376 - datasetA: 0.282 - datasetB: 0.650 - ranking: 25 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_x101-64x4d_fpn_16xb1-20e_coco - namezh: htc_x101-64x4d_fpn_16xb1-20e_coco + - nameen: cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + namezh: cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1983 - datasetA: 0.280 - datasetB: 0.667 - ranking: 26 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - nameen: cascade-mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco namezh: cascade-mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6978 - datasetA: 0.280 - datasetB: 0.746 - ranking: 27 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: scnet_r101_fpn_20e_coco - namezh: scnet_r101_fpn_20e_coco + - nameen: cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 163 - datasetA: 0.279 - datasetB: 0.745 - ranking: 28 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco - namezh: mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3356 - datasetA: 0.277 - datasetB: 0.673 - ranking: 29 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r50-rfp_1x_coco - namezh: htc_r50-rfp_1x_coco + - nameen: mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9180 - datasetA: 0.275 - datasetB: 0.609 - ranking: 30 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco - namezh: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpg_crop640-50e_coco + namezh: mask-rcnn_r50_fpg_crop640-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3878 - datasetA: 0.274 - datasetB: 0.661 - ranking: 31 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco - namezh: mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpg-chn128_crop640-50e_coco + namezh: mask-rcnn_r50_fpg-chn128_crop640-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 423 - datasetA: 0.273 - datasetB: 0.686 - ranking: 32 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco - namezh: cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco + - nameen: mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5111 - datasetA: 0.273 - datasetB: 0.624 - ranking: 33 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask2former_r50_8xb2-lsj-50e_coco - namezh: mask2former_r50_8xb2-lsj-50e_coco + - nameen: mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9344 - datasetA: 0.273 - datasetB: 0.187 - ranking: 34 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_x101-32x4d_fpn_16xb1-20e_coco - namezh: htc_x101-32x4d_fpn_16xb1-20e_coco + - nameen: mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 731 - datasetA: 0.272 - datasetB: 0.598 - ranking: 35 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco - namezh: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco + - nameen: mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8194 - datasetA: 0.272 - datasetB: 0.684 - ranking: 36 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r101_fpn_ms-480-800-3x_coco - namezh: queryinst_r101_fpn_ms-480-800-3x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-backbone_1x_coco + namezh: mask-rcnn_r50_fpn_syncbn-backbone_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 718 - datasetA: 0.270 - datasetB: 0.230 - ranking: 37 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_hrnetv2p-w40-20e_coco - namezh: cascade-mask-rcnn_hrnetv2p-w40-20e_coco + - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8441 - datasetA: 0.270 - datasetB: 0.638 - ranking: 38 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-dconv-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco + namezh: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9478 - datasetA: 0.269 - datasetB: 0.715 - ranking: 39 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_hrnetv2p-w32_20e_coco - namezh: htc_hrnetv2p-w32_20e_coco + - nameen: mask-rcnn_r101-syncbn_fpn_1x_coco + namezh: mask-rcnn_r101-syncbn_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1645 - datasetA: 0.268 - datasetB: 0.698 - ranking: 40 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_swin-t-p4-w7_fpn_1x_coco - namezh: mask-rcnn_swin-t-p4-w7_fpn_1x_coco + - nameen: mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco + namezh: mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4181 - datasetA: 0.265 - datasetB: 0.620 - ranking: 41 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - nameen: mask-rcnn_r101-syncbn-gcb-r4-c3-c5_fpn_1x_coco namezh: mask-rcnn_r101-syncbn-gcb-r4-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9445 - datasetA: 0.264 - datasetB: 0.710 - ranking: 42 - - - nameen: cascade-mask-rcnn_res2net-101_fpn_20e_coco - namezh: cascade-mask-rcnn_res2net-101_fpn_20e_coco - paper: - text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7380 - datasetA: 0.263 - datasetB: 0.706 - ranking: 43 - - - nameen: ms-rcnn_x101-64x4d_fpn_1x_coco - namezh: ms-rcnn_x101-64x4d_fpn_1x_coco - paper: - text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8346 - datasetA: 0.263 - datasetB: 0.658 - ranking: 44 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco - namezh: mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco + - nameen: mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco + namezh: mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8974 - datasetA: 0.263 - datasetB: 0.688 - ranking: 45 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-64x4d_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-64x4d_fpn_1x_coco + - nameen: mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco + namezh: mask-rcnn_x101-32x4d-syncbn-gcb-r16-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9701 - datasetA: 0.263 - datasetB: 0.702 - ranking: 46 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-gcb-r4-c3-c5_fpn_1x_coco + - nameen: mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco + namezh: mask-rcnn_x101-32x4d-syncbn-gcb-r4-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3412 - datasetA: 0.263 - datasetB: 0.742 - ranking: 47 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-64x4d_fpn_20e_coco - namezh: cascade-mask-rcnn_x101-64x4d_fpn_20e_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 160 - datasetA: 0.262 - datasetB: 0.706 - ranking: 48 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-syncbn-gcb-r16-c3-c5_fpn_1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-r16-gcb-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 168 - datasetA: 0.262 - datasetB: 0.686 - ranking: 49 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco - namezh: mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-r4-gcb-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1347 - datasetA: 0.261 - datasetB: 0.685 - ranking: 50 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco - namezh: cascade-mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9526 - datasetA: 0.260 - datasetB: 0.725 - ranking: 51 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w40-2x_coco - namezh: mask-rcnn_hrnetv2p-w40-2x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r16-gcb-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7554 - datasetA: 0.259 - datasetB: 0.645 - ranking: 52 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco - namezh: mask-rcnn_r101-gcb-r16-c3-c5_fpn_1x_coco + - nameen: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco + namezh: cascade-mask-rcnn_x101-32x4d-syncbn-dconv-c3-c5-r4-gcb-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1809 - datasetA: 0.259 - datasetB: 0.708 - ranking: 53 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: scnet_r50_fpn_20e_coco - namezh: scnet_r50_fpn_20e_coco + - nameen: mask-rcnn_r50_fpn_gn-all_2x_coco + namezh: mask-rcnn_r50_fpn_gn-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8578 - datasetA: 0.258 - datasetB: 0.638 - ranking: 54 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_gn-all_3x_coco - namezh: mask-rcnn_r101_fpn_gn-all_3x_coco + - nameen: mask-rcnn_r50_fpn_gn-all_3x_coco + namezh: mask-rcnn_r50_fpn_gn-all_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3066 - datasetA: 0.258 - datasetB: 0.625 - ranking: 55 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_scratch_6x_coco - namezh: mask-rcnn_r50_fpn_gn-all_scratch_6x_coco + - nameen: mask-rcnn_r101_fpn_gn-all_2x_coco + namezh: mask-rcnn_r101_fpn_gn-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5226 - datasetA: 0.258 - datasetB: 0.678 - ranking: 56 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w40_1x_coco - namezh: mask-rcnn_hrnetv2p-w40_1x_coco + - nameen: mask-rcnn_r101_fpn_gn-all_3x_coco + namezh: mask-rcnn_r101_fpn_gn-all_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4910 - datasetA: 0.257 - datasetB: 0.703 - ranking: 57 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d_fpn_20e_coco - namezh: cascade-mask-rcnn_x101-32x4d_fpn_20e_coco + - nameen: mask-rcnn_r50_fpn_gn-all_contrib_2x_coco + namezh: mask-rcnn_r50_fpn_gn-all_contrib_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7116 - datasetA: 0.257 - datasetB: 0.685 - ranking: 58 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco - namezh: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco + - nameen: mask-rcnn_r50_fpn_gn-all_contrib_3x_coco + namezh: mask-rcnn_r50_fpn_gn-all_contrib_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5858 - datasetA: 0.256 - datasetB: 0.707 - ranking: 59 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-64x4d_fpn_1x_coco - namezh: mask-rcnn_x101-64x4d_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_gn_ws-all_2x_coco + namezh: mask-rcnn_r50_fpn_gn_ws-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7185 - datasetA: 0.255 - datasetB: 0.704 - ranking: 60 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_x101-64x4d_fpn_2x_coco - namezh: ms-rcnn_x101-64x4d_fpn_2x_coco + - nameen: mask-rcnn_r101_fpn_gn-ws-all_2x_coco + namezh: mask-rcnn_r101_fpn_gn-ws-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6788 - datasetA: 0.255 - datasetB: 0.713 - ranking: 61 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d_fpn_1x_coco + - nameen: mask-rcnn_x50-32x4d_fpn_gn-ws-all_2x_coco + namezh: mask-rcnn_x50-32x4d_fpn_gn-ws-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1342 - datasetA: 0.255 - datasetB: 0.795 - ranking: 62 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: rtmdet-ins_tiny_8xb32-300e_coco - namezh: rtmdet-ins_tiny_8xb32-300e_coco + - nameen: mask-rcnn_x101-32x4d_fpn_gn-ws-all_2x_coco + namezh: mask-rcnn_x101-32x4d_fpn_gn-ws-all_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8083 - datasetA: 0.255 - datasetB: 0.659 - ranking: 63 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco - namezh: mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_r50_fpn_gn_ws-all_20_23_24e_coco + namezh: mask-rcnn_r50_fpn_gn_ws-all_20_23_24e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3565 - datasetA: 0.255 - datasetB: 0.665 - ranking: 64 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_gn-all_2x_coco - namezh: mask-rcnn_r101_fpn_gn-all_2x_coco + - nameen: mask-rcnn_r101_fpn_gn-ws-all_20-23-24e_coco + namezh: mask-rcnn_r101_fpn_gn-ws-all_20-23-24e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6831 - datasetA: 0.254 - datasetB: 0.661 - ranking: 65 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_x101-32x4d_fpn_1x_coco - namezh: ms-rcnn_x101-32x4d_fpn_1x_coco + - nameen: mask-rcnn_x50-32x4d_fpn_gn-ws-all_20-23-24e_coco + namezh: mask-rcnn_x50-32x4d_fpn_gn-ws-all_20-23-24e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9120 - datasetA: 0.254 - datasetB: 0.666 - ranking: 66 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r101_fpn_20e_coco - namezh: htc_r101_fpn_20e_coco + - nameen: mask-rcnn_x101-32x4d_fpn_gn-ws-all_20-23-24e_coco + namezh: mask-rcnn_x101-32x4d_fpn_gn-ws-all_20-23-24e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6623 - datasetA: 0.253 - datasetB: 0.626 - ranking: 67 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_res2net-101_fpn_2x_coco - namezh: mask-rcnn_res2net-101_fpn_2x_coco + - nameen: mask-rcnn_r50_fpn_groie_1x_coco + namezh: mask-rcnn_r50_fpn_groie_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6770 - datasetA: 0.253 - datasetB: 0.651 - ranking: 68 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco namezh: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7946 - datasetA: 0.252 - datasetB: 0.666 - ranking: 69 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x8d_fpn_1x_coco - namezh: mask-rcnn_x101-32x8d_fpn_1x_coco + - nameen: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco + namezh: mask-rcnn_r101_fpn_syncbn-r4-gcb_c3-c5-groie_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4225 - datasetA: 0.251 - datasetB: 0.687 - ranking: 70 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_hrnetv2p-w18_20e_coco - namezh: htc_hrnetv2p-w18_20e_coco + - nameen: mask-rcnn_hrnetv2p-w18-1x_coco + namezh: mask-rcnn_hrnetv2p-w18-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7898 - datasetA: 0.251 - datasetB: 0.702 - ranking: 71 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco - namezh: cascade-mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco + - nameen: mask-rcnn_hrnetv2p-w18-2x_coco + namezh: mask-rcnn_hrnetv2p-w18-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8628 - datasetA: 0.250 - datasetB: 0.696 - ranking: 72 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco + - nameen: mask-rcnn_hrnetv2p-w32-1x_coco + namezh: mask-rcnn_hrnetv2p-w32-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2683 - datasetA: 0.249 - datasetB: 0.704 - ranking: 73 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco - namezh: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_hrnetv2p-w32-2x_coco + namezh: mask-rcnn_hrnetv2p-w32-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8965 - datasetA: 0.249 - datasetB: 0.696 - ranking: 74 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: scnet_r50_fpn_1x_coco - namezh: scnet_r50_fpn_1x_coco + - nameen: mask-rcnn_hrnetv2p-w40_1x_coco + namezh: mask-rcnn_hrnetv2p-w40_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1705 - datasetA: 0.249 - datasetB: 0.714 - ranking: 75 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco + - nameen: mask-rcnn_hrnetv2p-w40-2x_coco + namezh: mask-rcnn_hrnetv2p-w40-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 488 - datasetA: 0.249 - datasetB: 0.677 - ranking: 76 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w32-2x_coco - namezh: mask-rcnn_hrnetv2p-w32-2x_coco + - nameen: cascade-mask-rcnn_hrnetv2p-w18_20e_coco + namezh: cascade-mask-rcnn_hrnetv2p-w18_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2553 - datasetA: 0.249 - datasetB: 0.655 - ranking: 77 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r50_fpn_ms-480-800-3x_coco - namezh: queryinst_r50_fpn_ms-480-800-3x_coco + - nameen: cascade-mask-rcnn_hrnetv2p-w32_20e_coco + namezh: cascade-mask-rcnn_hrnetv2p-w32_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6174 - datasetA: 0.248 - datasetB: 0.167 - ranking: 78 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_dconv_c3-c5_1x_coco + - nameen: cascade-mask-rcnn_hrnetv2p-w40-20e_coco + namezh: cascade-mask-rcnn_hrnetv2p-w40-20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1012 - datasetA: 0.248 - datasetB: 0.640 - ranking: 79 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_mdconv_c3-c5_1x_coco + - nameen: mask-rcnn_r50_fpn_instaboost_4x_coco + namezh: mask-rcnn_r50_fpn_instaboost_4x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4680 - datasetA: 0.247 - datasetB: 0.667 - ranking: 80 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco - namezh: mask-rcnn_x101-32x4d-syncbn_fpn_1x_coco + - nameen: mask-rcnn_r101_fpn_instaboost-4x_coco + namezh: mask-rcnn_r101_fpn_instaboost-4x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3851 - datasetA: 0.246 - datasetB: 0.632 - ranking: 81 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-64x4d_fpn_2x_coco - namezh: mask-rcnn_x101-64x4d_fpn_2x_coco + - nameen: mask-rcnn_x101-64x4d_fpn_instaboost-4x_coco + namezh: mask-rcnn_x101-64x4d_fpn_instaboost-4x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1261 - datasetA: 0.245 - datasetB: 0.689 - ranking: 82 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x4d_fpn_2x_coco - namezh: mask-rcnn_x101-32x4d_fpn_2x_coco + - nameen: cascade-mask-rcnn_r50_fpn_instaboost_4x_coco + namezh: cascade-mask-rcnn_r50_fpn_instaboost_4x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1833 - datasetA: 0.245 - datasetB: 0.722 - ranking: 83 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpg_crop640-50e_coco - namezh: mask-rcnn_r50_fpg_crop640-50e_coco + - nameen: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5261 - datasetA: 0.245 - datasetB: 0.635 - ranking: 84 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_ms-poly-3x_coco - namezh: mask-rcnn_r101_fpn_ms-poly-3x_coco + - nameen: mask2former_r101_8xb2-lsj-50e_coco + namezh: mask2former_r101_8xb2-lsj-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2177 - datasetA: 0.245 - datasetB: 0.680 - ranking: 85 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_instaboost-4x_coco - namezh: mask-rcnn_r101_fpn_instaboost-4x_coco + - nameen: mask2former_r101_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_r101_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5562 - datasetA: 0.244 - datasetB: 0.729 - ranking: 86 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_3x_coco - namezh: mask-rcnn_r50_fpn_gn-all_3x_coco + - nameen: mask2former_r50_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_r50_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7761 - datasetA: 0.244 - datasetB: 0.660 - ranking: 87 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco - namezh: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + - nameen: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6858 - datasetA: 0.244 - datasetB: 0.632 - ranking: 88 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w32-1x_coco - namezh: mask-rcnn_hrnetv2p-w32-1x_coco + - nameen: mask2former_r50_8xb2-lsj-50e_coco + namezh: mask2former_r50_8xb2-lsj-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7590 - datasetA: 0.243 - datasetB: 0.715 - ranking: 89 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco - namezh: mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco + - nameen: mask2former_swin-l-p4-w12-384-in21k_16xb1-lsj-100e_coco-panoptic + namezh: mask2former_swin-l-p4-w12-384-in21k_16xb1-lsj-100e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5833 - datasetA: 0.242 - datasetB: 0.671 - ranking: 90 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco + - nameen: mask2former_swin-b-p4-w12-384-in21k_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_swin-b-p4-w12-384-in21k_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7739 - datasetA: 0.240 - datasetB: 0.640 - ranking: 91 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_2x_coco - namezh: mask-rcnn_r50_fpn_gn-all_2x_coco + - nameen: mask2former_swin-b-p4-w12-384_8xb2-lsj-50e_coco-panoptic + namezh: mask2former_swin-b-p4-w12-384_8xb2-lsj-50e_coco-panoptic paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6198 - datasetA: 0.240 - datasetB: 0.657 - ranking: 92 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco + - nameen: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco + namezh: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4861 - datasetA: 0.240 - datasetB: 0.714 - ranking: 93 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco + - nameen: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco + namezh: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2821 - datasetA: 0.239 - datasetB: 0.669 - ranking: 94 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco - namezh: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco + - nameen: mask-rcnn_r50-caffe_fpn_1x_coco + namezh: mask-rcnn_r50-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8801 - datasetA: 0.239 - datasetB: 0.589 - ranking: 95 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_contrib_3x_coco - namezh: mask-rcnn_r50_fpn_gn-all_contrib_3x_coco + - nameen: mask-rcnn_r50_fpn_1x_coco + namezh: mask-rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9815 - datasetA: 0.239 - datasetB: 0.662 - ranking: 96 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101_fpn_20e_coco - namezh: cascade-mask-rcnn_r101_fpn_20e_coco + - nameen: mask-rcnn_r50_fpn_fp16_1x_coco + namezh: mask-rcnn_r50_fpn_fp16_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 943 - datasetA: 0.239 - datasetB: 0.677 - ranking: 97 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-8GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-8GF_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_2x_coco + namezh: mask-rcnn_r50_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5219 - datasetA: 0.238 - datasetB: 0.680 - ranking: 98 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-4GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-4GF_fpn_1x_coco + - nameen: mask-rcnn_r101-caffe_fpn_1x_coco + namezh: mask-rcnn_r101-caffe_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4530 - datasetA: 0.238 - datasetB: 0.628 - ranking: 99 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r50_fpn_20e_coco - namezh: htc_r50_fpn_20e_coco + - nameen: mask-rcnn_r101_fpn_1x_coco + namezh: mask-rcnn_r101_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3056 - datasetA: 0.238 - datasetB: 0.695 - ranking: 100 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_hrnetv2p-w18_20e_coco - namezh: cascade-mask-rcnn_hrnetv2p-w18_20e_coco + - nameen: mask-rcnn_r101_fpn_2x_coco + namezh: mask-rcnn_r101_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3792 - datasetA: 0.236 - datasetB: 0.658 - ranking: 101 - - - nameen: mask-rcnn_regnetx-12GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-12GF_fpn_1x_coco + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_x101-32x4d_fpn_1x_coco + namezh: mask-rcnn_x101-32x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1092 - datasetA: 0.236 - datasetB: 0.678 - ranking: 102 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpg-chn128_crop640-50e_coco - namezh: mask-rcnn_r50_fpg-chn128_crop640-50e_coco + - nameen: mask-rcnn_x101-32x4d_fpn_2x_coco + namezh: mask-rcnn_x101-32x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 538 - datasetA: 0.236 - datasetB: 0.660 - ranking: 103 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101-caffe_fpn_1x_coco - namezh: cascade-mask-rcnn_r101-caffe_fpn_1x_coco + - nameen: mask-rcnn_x101-64x4d_fpn_1x_coco + namezh: mask-rcnn_x101-64x4d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 556 - datasetA: 0.236 - datasetB: 0.692 - ranking: 104 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_instaboost_4x_coco - namezh: cascade-mask-rcnn_r50_fpn_instaboost_4x_coco + - nameen: mask-rcnn_x101-64x4d_fpn_2x_coco + namezh: mask-rcnn_x101-64x4d_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 799 - datasetA: 0.235 - datasetB: 0.690 - ranking: 105 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r101_fpn_1x_coco - namezh: cascade-mask-rcnn_r101_fpn_1x_coco + - nameen: mask-rcnn_x101-32x8d_fpn_1x_coco + namezh: mask-rcnn_x101-32x8d_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8725 - datasetA: 0.235 - datasetB: 0.733 - ranking: 106 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_gn-all_contrib_2x_coco - namezh: mask-rcnn_r50_fpn_gn-all_contrib_2x_coco + - nameen: mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco + namezh: mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 502 - datasetA: 0.235 - datasetB: 0.724 - ranking: 107 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco - namezh: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco + namezh: mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2106 - datasetA: 0.234 - datasetB: 0.672 - ranking: 108 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-3.2GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-3.2GF_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_mstrain-poly_3x_coco + namezh: mask-rcnn_r50_fpn_mstrain-poly_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7174 - datasetA: 0.233 - datasetB: 0.689 - ranking: 109 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_r101-caffe_fpn_2x_coco - namezh: ms-rcnn_r101-caffe_fpn_2x_coco + - nameen: mask-rcnn_r101_fpn_ms-poly-3x_coco + namezh: mask-rcnn_r101_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8298 - datasetA: 0.232 - datasetB: 0.672 - ranking: 110 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco - namezh: mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco + namezh: mask-rcnn_r101-caffe_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3971 - datasetA: 0.232 - datasetB: 0.726 - ranking: 111 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_r101-caffe_fpn_1x_coco - namezh: ms-rcnn_r101-caffe_fpn_1x_coco + - nameen: mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco + namezh: mask-rcnn_x101-32x4d_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4297 - datasetA: 0.232 - datasetB: 0.627 - ranking: 112 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: solov2_r50_fpn_ms-3x_coco - namezh: solov2_r50_fpn_ms-3x_coco + - nameen: mask-rcnn_x101-32x8d_fpn_ms-poly-1x_coco + namezh: mask-rcnn_x101-32x8d_fpn_ms-poly-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8419 - datasetA: 0.232 - datasetB: 0.756 - ranking: 113 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco - namezh: mask-rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco + - nameen: mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco + namezh: mask-rcnn_x101-32x8d_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3208 - datasetA: 0.232 - datasetB: 0.728 - ranking: 114 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w18-2x_coco - namezh: mask-rcnn_hrnetv2p-w18-2x_coco + - nameen: mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco + namezh: mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1802 - datasetA: 0.230 - datasetB: 0.652 - ranking: 115 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: htc_r50_fpn_1x_coco - namezh: htc_r50_fpn_1x_coco + - nameen: maskformer_r50_ms-16xb1-75e_coco + namezh: maskformer_r50_ms-16xb1-75e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6099 - datasetA: 0.230 - datasetB: 0.604 - ranking: 116 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-6.4GF_fpn_1x_coco - namezh: mask-rcnn_regnetx-6.4GF_fpn_1x_coco + - nameen: maskformer_swin-l-p4-w12_64xb1-ms-300e_coco + namezh: maskformer_swin-l-p4-w12_64xb1-ms-300e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9970 - datasetA: 0.228 - datasetB: 0.637 - ranking: 117 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_2x_coco - namezh: mask-rcnn_r101_fpn_2x_coco + - nameen: pisa_mask_rcnn_r50_fpn_1x_coco + namezh: pisa_mask_rcnn_r50_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1890 - datasetA: 0.227 - datasetB: 0.599 - ranking: 118 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: decoupled-solo_r50_fpn_3x_coco - namezh: decoupled-solo_r50_fpn_3x_coco + - nameen: mask-rcnn_regnetx-3.2GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-3.2GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9275 - datasetA: 0.227 - datasetB: 0.692 - ranking: 119 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-syncbn_fpn_1x_coco - namezh: mask-rcnn_r101-syncbn_fpn_1x_coco + - nameen: mask-rcnn_regnetx-4GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-4GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6771 - datasetA: 0.227 - datasetB: 0.701 - ranking: 120 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101-caffe_fpn_1x_coco - namezh: mask-rcnn_r101-caffe_fpn_1x_coco + - nameen: mask-rcnn_regnetx-6.4GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-6.4GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9274 - datasetA: 0.227 - datasetB: 0.674 - ranking: 121 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r101_fpn_1x_coco - namezh: mask-rcnn_r101_fpn_1x_coco + - nameen: mask-rcnn_regnetx-8GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-8GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2866 - datasetA: 0.226 - datasetB: 0.719 - ranking: 122 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_mstrain-poly_3x_coco - namezh: mask-rcnn_r50_fpn_mstrain-poly_3x_coco + - nameen: mask-rcnn_regnetx-12GF_fpn_1x_coco + namezh: mask-rcnn_regnetx-12GF_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6912 - datasetA: 0.226 - datasetB: 0.673 - ranking: 123 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: queryinst_r50_fpn_1x_coco - namezh: queryinst_r50_fpn_1x_coco + - nameen: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco + namezh: mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3270 - datasetA: 0.225 - datasetB: 0.191 - ranking: 124 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_instaboost_4x_coco - namezh: mask-rcnn_r50_fpn_instaboost_4x_coco + - nameen: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + namezh: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3395 - datasetA: 0.222 - datasetB: 0.677 - ranking: 125 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco - namezh: mask-rcnn_r50-caffe_fpn_ms-poly-3x_coco + - nameen: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco + namezh: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8866 - datasetA: 0.222 - datasetB: 0.727 - ranking: 126 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - nameen: mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco namezh: mask-rcnn_regnetx-800MF_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8776 - datasetA: 0.221 - datasetB: 0.615 - ranking: 127 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_20e_coco - namezh: cascade-mask-rcnn_r50_fpn_20e_coco + - nameen: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco + namezh: mask-rcnn_regnetx-1.6GF_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9877 - datasetA: 0.219 - datasetB: 0.680 - ranking: 128 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_carafe_1x_coco - namezh: mask-rcnn_r50_fpn_carafe_1x_coco + - nameen: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + namezh: mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2703 - datasetA: 0.219 - datasetB: 0.696 - ranking: 129 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50-caffe_fpn_1x_coco - namezh: cascade-mask-rcnn_r50-caffe_fpn_1x_coco + - nameen: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco + namezh: mask-rcnn_regnetx-4GF_fpn_ms-poly-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4550 - datasetA: 0.218 - datasetB: 0.730 - ranking: 130 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco - namezh: mask-rcnn_r50-caffe_fpn_ms-poly-2x_coco + - nameen: cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-400MF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2766 - datasetA: 0.217 - datasetB: 0.714 - ranking: 131 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_hrnetv2p-w18-1x_coco - namezh: mask-rcnn_hrnetv2p-w18-1x_coco + - nameen: cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-800MF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2489 - datasetA: 0.217 - datasetB: 0.612 - ranking: 132 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: ms-rcnn_r50-caffe_fpn_1x_coco - namezh: ms-rcnn_r50-caffe_fpn_1x_coco + - nameen: cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-1.6GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9149 - datasetA: 0.215 - datasetB: 0.647 - ranking: 133 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: solo_r50_fpn_3x_coco - namezh: solo_r50_fpn_3x_coco + - nameen: cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-3.2GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1008 - datasetA: 0.215 - datasetB: 0.700 - ranking: 134 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: cascade-mask-rcnn_r50_fpn_1x_coco - namezh: cascade-mask-rcnn_r50_fpn_1x_coco + - nameen: cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco + namezh: cascade-mask-rcnn_regnetx-4GF_fpn_ms-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3224 - datasetA: 0.214 - datasetB: 0.712 - ranking: 135 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_groie_1x_coco - namezh: mask-rcnn_r50_fpn_groie_1x_coco + - nameen: mask-rcnn_res2net-101_fpn_2x_coco + namezh: mask-rcnn_res2net-101_fpn_2x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6685 - datasetA: 0.214 - datasetB: 0.686 - ranking: 136 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: condinst_r50_fpn_ms-poly-90k_coco_instance - namezh: condinst_r50_fpn_ms-poly-90k_coco_instance + - nameen: cascade-mask-rcnn_res2net-101_fpn_20e_coco + namezh: cascade-mask-rcnn_res2net-101_fpn_20e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 2821 - datasetA: 0.212 - datasetB: 0.658 - ranking: 137 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_2x_coco - namezh: mask-rcnn_r50_fpn_2x_coco + - nameen: mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco + namezh: mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 9912 - datasetA: 0.210 - datasetB: 0.655 - ranking: 138 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: pisa_mask_rcnn_r50_fpn_1x_coco - namezh: pisa_mask_rcnn_r50_fpn_1x_coco + - nameen: mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco + namezh: mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7220 - datasetA: 0.210 - datasetB: 0.708 - ranking: 139 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50-caffe_fpn_1x_coco - namezh: mask-rcnn_r50-caffe_fpn_1x_coco + - nameen: cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco + namezh: cascade-mask-rcnn_s50_fpn_syncbn-backbone+head_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6705 - datasetA: 0.207 - datasetB: 0.692 - ranking: 140 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco - namezh: mask-rcnn_regnetx-400MF_fpn_ms-poly-3x_coco + - nameen: cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco + namezh: cascade-mask-rcnn_s101_fpn_syncbn-backbone+head_ms-1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 3709 - datasetA: 0.206 - datasetB: 0.630 - ranking: 141 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: solov2_r50_fpn_1x_coco - namezh: solov2_r50_fpn_1x_coco + - nameen: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco + namezh: cascade-mask-rcnn_r50_fpn_rsb-pretrain_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4328 - datasetA: 0.205 - datasetB: 0.707 - ranking: 142 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: boxinst_r101_fpn_ms-90k_coco - namezh: boxinst_r101_fpn_ms-90k_coco + - nameen: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco + namezh: mask-rcnn_r50_fpn_rsb-pretrain_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 1370 - datasetA: 0.204 - datasetB: 0.694 - ranking: 143 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_1x_coco - namezh: mask-rcnn_r50_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_gn-all_scratch_6x_coco + namezh: mask-rcnn_r50_fpn_gn-all_scratch_6x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 228 - datasetA: 0.203 - datasetB: 0.704 - ranking: 144 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_fp16_1x_coco - namezh: mask-rcnn_r50_fpn_fp16_1x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_270k_coco + namezh: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_270k_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7452 - datasetA: 0.203 - datasetB: 0.731 - ranking: 145 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: decoupled-solo_r50_fpn_1x_coco - namezh: decoupled-solo_r50_fpn_1x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_90k_coco + namezh: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_90k_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 4681 - datasetA: 0.202 - datasetB: 0.660 - ranking: 146 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: mask-rcnn_r50_fpn_syncbn-backbone_1x_coco - namezh: mask-rcnn_r50_fpn_syncbn-backbone_1x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_270k_coco + namezh: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_270k_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 543 - datasetA: 0.202 - datasetB: 0.682 - ranking: 147 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: solov2-light_r50_fpn_ms-3x_coco - namezh: solov2-light_r50_fpn_ms-3x_coco + - nameen: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_90k_coco + namezh: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_90k_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 7981 - datasetA: 0.200 - datasetB: 0.753 - ranking: 148 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: decoupled-solo-light_r50_fpn_3x_coco - namezh: decoupled-solo-light_r50_fpn_3x_coco + - nameen: mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco + namezh: mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 8448 - datasetA: 0.195 - datasetB: 0.642 - ranking: 149 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: solo_r50_fpn_1x_coco - namezh: solo_r50_fpn_1x_coco + - nameen: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco + namezh: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 5017 - datasetA: 0.194 - datasetB: 0.672 - ranking: 150 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: boxinst_r50_fpn_ms-90k_coco - namezh: boxinst_r50_fpn_ms-90k_coco + - nameen: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco + namezh: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 6371 - datasetA: 0.181 - datasetB: 0.618 - ranking: 151 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - - nameen: solov2-light_r18_fpn_ms-3x_coco - namezh: solov2-light_r18_fpn_ms-3x_coco + - nameen: mask-rcnn_swin-t-p4-w7_fpn_1x_coco + namezh: mask-rcnn_swin-t-p4-w7_fpn_1x_coco paper: text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' - download: 790 - datasetA: 0.174 - datasetB: 0.687 - ranking: 152 + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' + + - nameen: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco + namezh: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco + paper: + text: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + link: 'https://github.com/open-mmlab/mmdetection/tree/main/configs' + download: 9999 + datasetA: 99% + datasetB: 99% + ranking: '999' - titlezh: 语义分割 From 77a328d60a1f368a937aff7b4210941ec48a4a7c Mon Sep 17 00:00:00 2001 From: zhengweijie <1254312584@qq.com> Date: Wed, 26 Mar 2025 15:59:21 +0800 Subject: [PATCH 3/3] try reorder2 --- content/pages/leaderboards.md | 3369 +++++++++++---------------------- 1 file changed, 1123 insertions(+), 2246 deletions(-) diff --git a/content/pages/leaderboards.md b/content/pages/leaderboards.md index 5ee90b8..8bfb92d 100644 --- a/content/pages/leaderboards.md +++ b/content/pages/leaderboards.md @@ -32,8 +32,7 @@ blocks: download: 2770 datasetA: '35.36' datasetB: '53.86' - ranking: '773' - + ranking: '1' - nameen: nf_regnet_b2 namezh: nf_regnet_b2 paper: @@ -42,8 +41,7 @@ blocks: download: 4668 datasetA: '46.68' datasetB: '53.84' - ranking: '553' - + ranking: '2' - nameen: hrnet_w18_ssld namezh: hrnet_w18_ssld paper: @@ -52,8 +50,7 @@ blocks: download: 5635 datasetA: '53.89' datasetB: '53.83' - ranking: '383' - + ranking: '3' - nameen: rexnetr_150 namezh: rexnetr_150 paper: @@ -62,8 +59,7 @@ blocks: download: 2494 datasetA: '35.21' datasetB: '53.75' - ranking: '776' - + ranking: '4' - nameen: repghostnet_080 namezh: repghostnet_080 paper: @@ -72,8 +68,7 @@ blocks: download: 4221 datasetA: '42.24' datasetB: '53.71' - ranking: '644' - + ranking: '5' - nameen: repghostnet_100 namezh: repghostnet_100 paper: @@ -82,8 +77,7 @@ blocks: download: 4031 datasetA: '42.2' datasetB: '53.65' - ranking: '645' - + ranking: '6' - nameen: resnet101 namezh: resnet101 paper: @@ -92,8 +86,7 @@ blocks: download: 7956 datasetA: '37.85' datasetB: '53.6' - ranking: '718' - + ranking: '7' - nameen: mobilenetv3_small_050 namezh: mobilenetv3_small_050 paper: @@ -102,8 +95,7 @@ blocks: download: 1414 datasetA: '48.33' datasetB: '53.58' - ranking: '503' - + ranking: '8' - nameen: eva_large_patch14_336 namezh: eva_large_patch14_336 paper: @@ -112,8 +104,7 @@ blocks: download: 1241 datasetA: '57.39' datasetB: '53.54' - ranking: '299' - + ranking: '9' - nameen: hardcorenas_e namezh: hardcorenas_e paper: @@ -122,8 +113,7 @@ blocks: download: 7558 datasetA: '54.66' datasetB: '53.54' - ranking: '362' - + ranking: '10' - nameen: hgnetv2_b2 namezh: hgnetv2_b2 paper: @@ -132,8 +122,7 @@ blocks: download: 7042 datasetA: '54.37' datasetB: '53.49' - ranking: '369' - + ranking: '11' - nameen: levit_conv_512d namezh: levit_conv_512d paper: @@ -142,8 +131,7 @@ blocks: download: 6666 datasetA: '51.58' datasetB: '53.43' - ranking: '435' - + ranking: '12' - nameen: lcnet_035 namezh: lcnet_035 paper: @@ -152,8 +140,7 @@ blocks: download: 8948 datasetA: '52.87' datasetB: '53.42' - ranking: '401' - + ranking: '13' - nameen: efficientnetv2_rw_s namezh: efficientnetv2_rw_s paper: @@ -162,8 +149,7 @@ blocks: download: 6527 datasetA: '59.14' datasetB: '53.4' - ranking: '258' - + ranking: '14' - nameen: lcnet_050 namezh: lcnet_050 paper: @@ -172,8 +158,7 @@ blocks: download: 1131 datasetA: '52.83' datasetB: '53.4' - ranking: '402' - + ranking: '15' - nameen: convformer_m36 namezh: convformer_m36 paper: @@ -182,8 +167,7 @@ blocks: download: 2712 datasetA: '68.56' datasetB: '53.39' - ranking: '67' - + ranking: '16' - nameen: vgg19 namezh: vgg19 paper: @@ -192,8 +176,7 @@ blocks: download: 2616 datasetA: '28.38' datasetB: '53.24' - ranking: '929' - + ranking: '17' - nameen: volo_d4_448 namezh: volo_d4_448 paper: @@ -202,8 +185,7 @@ blocks: download: 5869 datasetA: '21.73' datasetB: '53.22' - ranking: '1083' - + ranking: '18' - nameen: resnet50t namezh: resnet50t paper: @@ -212,8 +194,7 @@ blocks: download: 1027 datasetA: '38.16' datasetB: '53.19' - ranking: '709' - + ranking: '19' - nameen: tf_mobilenetv3_small_100 namezh: tf_mobilenetv3_small_100 paper: @@ -222,8 +203,7 @@ blocks: download: 3180 datasetA: '30.05' datasetB: '53.17' - ranking: '899' - + ranking: '20' - nameen: vit_medium_patch16_gap_384 namezh: vit_medium_patch16_gap_384 paper: @@ -232,8 +212,7 @@ blocks: download: 2202 datasetA: '24.78' datasetB: '53.17' - ranking: '1015' - + ranking: '21' - nameen: efficientvit_b2 namezh: efficientvit_b2 paper: @@ -242,8 +221,7 @@ blocks: download: 5615 datasetA: '58.96' datasetB: '53.16' - ranking: '264' - + ranking: '22' - nameen: nfnet_f5 namezh: nfnet_f5 paper: @@ -252,8 +230,7 @@ blocks: download: 5806 datasetA: '46.01' datasetB: '53.16' - ranking: '568' - + ranking: '23' - nameen: deit3_large_patch16_384 namezh: deit3_large_patch16_384 paper: @@ -262,8 +239,7 @@ blocks: download: 1739 datasetA: '64.55' datasetB: '53.12' - ranking: '144' - + ranking: '24' - nameen: efficientnet_el namezh: efficientnet_el paper: @@ -272,8 +248,7 @@ blocks: download: 8558 datasetA: '60.14' datasetB: '53.06' - ranking: '241' - + ranking: '25' - nameen: mobilenet_edgetpu_v2_l namezh: mobilenet_edgetpu_v2_l paper: @@ -282,8 +257,7 @@ blocks: download: 6471 datasetA: '48.99' datasetB: '53.04' - ranking: '489' - + ranking: '26' - nameen: efficientvit_m4 namezh: efficientvit_m4 paper: @@ -292,8 +266,7 @@ blocks: download: 1180 datasetA: '58.5' datasetB: '52.99' - ranking: '273' - + ranking: '27' - nameen: tf_mixnet_l namezh: tf_mixnet_l paper: @@ -302,8 +275,7 @@ blocks: download: 9276 datasetA: '30.28' datasetB: '52.88' - ranking: '892' - + ranking: '28' - nameen: mobilenetv4_conv_medium namezh: mobilenetv4_conv_medium paper: @@ -312,8 +284,7 @@ blocks: download: 9127 datasetA: '48.08' datasetB: '52.87' - ranking: '509' - + ranking: '29' - nameen: regnetz_040_h namezh: regnetz_040_h paper: @@ -322,8 +293,7 @@ blocks: download: 8231 datasetA: '43.03' datasetB: '52.81' - ranking: '633' - + ranking: '30' - nameen: vgg11 namezh: vgg11 paper: @@ -332,8 +302,7 @@ blocks: download: 3706 datasetA: '28.99' datasetB: '52.73' - ranking: '923' - + ranking: '31' - nameen: convnextv2_large namezh: convnextv2_large paper: @@ -342,8 +311,7 @@ blocks: download: 7852 datasetA: '67.3' datasetB: '52.67' - ranking: '96' - + ranking: '32' - nameen: ese_vovnet39b namezh: ese_vovnet39b paper: @@ -352,8 +320,7 @@ blocks: download: 5184 datasetA: '58.32' datasetB: '52.54' - ranking: '278' - + ranking: '33' - nameen: nf_ecaresnet50 namezh: nf_ecaresnet50 paper: @@ -362,8 +329,7 @@ blocks: download: 3364 datasetA: '46.78' datasetB: '52.53' - ranking: '549' - + ranking: '34' - nameen: vgg16 namezh: vgg16 paper: @@ -372,8 +338,7 @@ blocks: download: 8866 datasetA: '28.72' datasetB: '52.53' - ranking: '927' - + ranking: '35' - nameen: vit_large_patch14_clip_quickgelu_336 namezh: vit_large_patch14_clip_quickgelu_336 paper: @@ -382,8 +347,7 @@ blocks: download: 7317 datasetA: '25.42' datasetB: '52.52' - ranking: '996' - + ranking: '36' - nameen: fbnetv3_d namezh: fbnetv3_d paper: @@ -392,8 +356,7 @@ blocks: download: 1696 datasetA: '56.83' datasetB: '52.49' - ranking: '312' - + ranking: '37' - nameen: vit_large_r50_s32_224 namezh: vit_large_r50_s32_224 paper: @@ -402,8 +365,7 @@ blocks: download: 5815 datasetA: '25.07' datasetB: '52.49' - ranking: '1008' - + ranking: '38' - nameen: resnet50x4_clip namezh: resnet50x4_clip paper: @@ -412,8 +374,7 @@ blocks: download: 3458 datasetA: '38.16' datasetB: '52.47' - ranking: '710' - + ranking: '39' - nameen: vit_medium_patch32_clip_224 namezh: vit_medium_patch32_clip_224 paper: @@ -422,8 +383,7 @@ blocks: download: 6674 datasetA: '24.47' datasetB: '52.47' - ranking: '1019' - + ranking: '40' - nameen: volo_d5_512 namezh: volo_d5_512 paper: @@ -432,8 +392,7 @@ blocks: download: 4290 datasetA: '21.66' datasetB: '52.46' - ranking: '1086' - + ranking: '41' - nameen: caformer_s36 namezh: caformer_s36 paper: @@ -442,8 +401,7 @@ blocks: download: 3180 datasetA: '70.18' datasetB: '52.45' - ranking: '25' - + ranking: '42' - nameen: focalnet_huge_fl4 namezh: focalnet_huge_fl4 paper: @@ -452,8 +410,7 @@ blocks: download: 5232 datasetA: '56.59' datasetB: '52.41' - ranking: '320' - + ranking: '43' - nameen: fastvit_mci0 namezh: fastvit_mci0 paper: @@ -462,8 +419,7 @@ blocks: download: 4519 datasetA: '57.23' datasetB: '52.33' - ranking: '301' - + ranking: '44' - nameen: resnetblur101d namezh: resnetblur101d paper: @@ -472,8 +428,7 @@ blocks: download: 8083 datasetA: '36.96' datasetB: '52.31' - ranking: '737' - + ranking: '45' - nameen: swinv2_cr_giant_224 namezh: swinv2_cr_giant_224 paper: @@ -482,8 +437,7 @@ blocks: download: 8876 datasetA: '32.36' datasetB: '52.29' - ranking: '843' - + ranking: '46' - nameen: vit_base_patch16_reg4_gap_256 namezh: vit_base_patch16_reg4_gap_256 paper: @@ -492,8 +446,7 @@ blocks: download: 9642 datasetA: '27.79' datasetB: '52.29' - ranking: '946' - + ranking: '47' - nameen: repvit_m2 namezh: repvit_m2 paper: @@ -502,8 +455,7 @@ blocks: download: 9968 datasetA: '40.98' datasetB: '52.26' - ranking: '666' - + ranking: '48' - nameen: vit_so400m_patch14_siglip_gap_384 namezh: vit_so400m_patch14_siglip_gap_384 paper: @@ -512,8 +464,7 @@ blocks: download: 4731 datasetA: '23.21' datasetB: '52.26' - ranking: '1052' - + ranking: '49' - nameen: regnetz_e8 namezh: regnetz_e8 paper: @@ -522,8 +473,7 @@ blocks: download: 9116 datasetA: '42.51' datasetB: '52.25' - ranking: '641' - + ranking: '50' - nameen: mvitv2_huge_cls namezh: mvitv2_huge_cls paper: @@ -532,8 +482,7 @@ blocks: download: 3503 datasetA: '47.43' datasetB: '52.23' - ranking: '532' - + ranking: '51' - nameen: resnet32ts namezh: resnet32ts paper: @@ -542,8 +491,7 @@ blocks: download: 3210 datasetA: '39.02' datasetB: '52.16' - ranking: '697' - + ranking: '52' - nameen: poolformer_s24 namezh: poolformer_s24 paper: @@ -552,8 +500,7 @@ blocks: download: 1688 datasetA: '45.54' datasetB: '52.14' - ranking: '584' - + ranking: '53' - nameen: xcit_nano_12_p16_224 namezh: xcit_nano_12_p16_224 paper: @@ -562,8 +509,7 @@ blocks: download: 9224 datasetA: '20.76' datasetB: '52.13' - ranking: '1106' - + ranking: '54' - nameen: convmixer_1536_20 namezh: convmixer_1536_20 paper: @@ -572,8 +518,7 @@ blocks: download: 4614 datasetA: '68.23' datasetB: '52.09' - ranking: '75' - + ranking: '55' - nameen: mobilenetv3_rw namezh: mobilenetv3_rw paper: @@ -582,8 +527,7 @@ blocks: download: 4317 datasetA: '48.41' datasetB: '52.08' - ranking: '502' - + ranking: '56' - nameen: mixnet_xxl namezh: mixnet_xxl paper: @@ -592,8 +536,7 @@ blocks: download: 4838 datasetA: '49.6' datasetB: '52.06' - ranking: '480' - + ranking: '57' - nameen: efficientvit_m0 namezh: efficientvit_m0 paper: @@ -602,8 +545,7 @@ blocks: download: 1646 datasetA: '58.81' datasetB: '52.04' - ranking: '269' - + ranking: '58' - nameen: vit_small_resnet26d_224 namezh: vit_small_resnet26d_224 paper: @@ -612,8 +554,7 @@ blocks: download: 8015 datasetA: '23.49' datasetB: '51.99' - ranking: '1045' - + ranking: '59' - nameen: regnetz_c16 namezh: regnetz_c16 paper: @@ -622,8 +563,7 @@ blocks: download: 4612 datasetA: '42.86' datasetB: '51.95' - ranking: '636' - + ranking: '60' - nameen: ConvNeXt-S + ConvStem namezh: ConvNeXt-S + ConvStem paper: @@ -634,8 +574,7 @@ blocks: download: 6670 datasetA: '70.86' datasetB: '51.94' - ranking: '9' - - nameen: mixer_l32_224 + ranking: '61' - nameen: mixer_l32_224 namezh: mixer_l32_224 paper: text: 'https://huggingface.co/docs/timm/index' @@ -643,8 +582,7 @@ blocks: download: 1218 datasetA: '50.12' datasetB: '51.93' - ranking: '473' - + ranking: '62' - nameen: repvit_m3 namezh: repvit_m3 paper: @@ -653,8 +591,7 @@ blocks: download: 5729 datasetA: '40.82' datasetB: '51.93' - ranking: '668' - + ranking: '63' - nameen: eca_nfnet_l3 namezh: eca_nfnet_l3 paper: @@ -663,8 +600,7 @@ blocks: download: 7390 datasetA: '62.25' datasetB: '51.81' - ranking: '193' - + ranking: '64' - nameen: cs3darknet_m namezh: cs3darknet_m paper: @@ -673,8 +609,7 @@ blocks: download: 1754 datasetA: '65.97' datasetB: '51.67' - ranking: '117' - + ranking: '65' - nameen: efficientnet_cc_b1_8e namezh: efficientnet_cc_b1_8e paper: @@ -683,8 +618,7 @@ blocks: download: 9551 datasetA: '60.16' datasetB: '51.67' - ranking: '240' - + ranking: '66' - nameen: hgnetv2_b5 namezh: hgnetv2_b5 paper: @@ -693,8 +627,7 @@ blocks: download: 4241 datasetA: '54.29' datasetB: '51.59' - ranking: '372' - + ranking: '67' - nameen: resnetblur50d namezh: resnetblur50d paper: @@ -703,8 +636,7 @@ blocks: download: 1918 datasetA: '37.11' datasetB: '51.57' - ranking: '736' - + ranking: '68' - nameen: regnetx_002 namezh: regnetx_002 paper: @@ -713,8 +645,7 @@ blocks: download: 4310 datasetA: '44.94' datasetB: '51.55' - ranking: '600' - + ranking: '69' - nameen: tf_mobilenetv3_large_075 namezh: tf_mobilenetv3_large_075 paper: @@ -723,8 +654,7 @@ blocks: download: 7445 datasetA: '30.17' datasetB: '51.5' - ranking: '895' - + ranking: '70' - nameen: tnt_s_patch16_224 namezh: tnt_s_patch16_224 paper: @@ -733,8 +663,7 @@ blocks: download: 4803 datasetA: '29.42' datasetB: '51.5' - ranking: '912' - + ranking: '71' - nameen: regnetx_004 namezh: regnetx_004 paper: @@ -743,8 +672,7 @@ blocks: download: 7185 datasetA: '44.87' datasetB: '51.45' - ranking: '601' - + ranking: '72' - nameen: efficientnetv2_m namezh: efficientnetv2_m paper: @@ -753,8 +681,7 @@ blocks: download: 3004 datasetA: '59.19' datasetB: '51.35' - ranking: '256' - + ranking: '73' - nameen: hrnet_w48 namezh: hrnet_w48 paper: @@ -763,8 +690,7 @@ blocks: download: 6881 datasetA: '53.5' datasetB: '51.28' - ranking: '388' - + ranking: '74' - nameen: xcit_small_12_p8_384 namezh: xcit_small_12_p8_384 paper: @@ -773,8 +699,7 @@ blocks: download: 4990 datasetA: '20.68' datasetB: '51.28' - ranking: '1109' - + ranking: '75' - nameen: efficientnet_b0_g8_gn namezh: efficientnet_b0_g8_gn paper: @@ -783,8 +708,7 @@ blocks: download: 9581 datasetA: '61.14' datasetB: '51.25' - ranking: '221' - + ranking: '76' - nameen: efficientnet_b4 namezh: efficientnet_b4 paper: @@ -793,8 +717,7 @@ blocks: download: 5331 datasetA: '60.62' datasetB: '51.24' - ranking: '232' - + ranking: '77' - nameen: vit_base_patch16_clip_384 namezh: vit_base_patch16_clip_384 paper: @@ -803,8 +726,7 @@ blocks: download: 7052 datasetA: '28.05' datasetB: '51.22' - ranking: '942' - + ranking: '78' - nameen: tf_efficientnet_lite4 namezh: tf_efficientnet_lite4 paper: @@ -813,8 +735,7 @@ blocks: download: 2941 datasetA: '30.61' datasetB: '51.09' - ranking: '883' - + ranking: '79' - nameen: seresnext101d_32x8d namezh: seresnext101d_32x8d paper: @@ -823,8 +744,7 @@ blocks: download: 9324 datasetA: '33.76' datasetB: '50.87' - ranking: '817' - + ranking: '80' - nameen: nextvit_large namezh: nextvit_large paper: @@ -833,8 +753,7 @@ blocks: download: 1585 datasetA: '46.9' datasetB: '50.85' - ranking: '546' - + ranking: '81' - nameen: mobilenetv4_hybrid_medium_075 namezh: mobilenetv4_hybrid_medium_075 paper: @@ -843,8 +762,7 @@ blocks: download: 8535 datasetA: '47.92' datasetB: '50.74' - ranking: '514' - + ranking: '82' - nameen: maxvit_nano_rw_256 namezh: maxvit_nano_rw_256 paper: @@ -853,8 +771,7 @@ blocks: download: 1385 datasetA: '51.23' datasetB: '50.73' - ranking: '442' - + ranking: '83' - nameen: cspresnet50d namezh: cspresnet50d paper: @@ -863,8 +780,7 @@ blocks: download: 2543 datasetA: '65.42' datasetB: '50.72' - ranking: '127' - + ranking: '84' - nameen: mixnet_s namezh: mixnet_s paper: @@ -873,8 +789,7 @@ blocks: download: 9455 datasetA: '49.82' datasetB: '50.71' - ranking: '478' - + ranking: '85' - nameen: repghostnet_050 namezh: repghostnet_050 paper: @@ -883,8 +798,7 @@ blocks: download: 1123 datasetA: '42.49' datasetB: '50.69' - ranking: '642' - + ranking: '86' - nameen: tiny_vit_21m_512 namezh: tiny_vit_21m_512 paper: @@ -893,8 +807,7 @@ blocks: download: 2850 datasetA: '29.67' datasetB: '50.69' - ranking: '905' - + ranking: '87' - nameen: vgg11_bn namezh: vgg11_bn paper: @@ -903,8 +816,7 @@ blocks: download: 6962 datasetA: '28.84' datasetB: '50.66' - ranking: '924' - + ranking: '88' - nameen: maxvit_small_tf_512 namezh: maxvit_small_tf_512 paper: @@ -913,8 +825,7 @@ blocks: download: 1539 datasetA: '50.76' datasetB: '50.65' - ranking: '453' - + ranking: '89' - nameen: vit_betwixt_patch16_reg1_gap_256 namezh: vit_betwixt_patch16_reg1_gap_256 paper: @@ -923,8 +834,7 @@ blocks: download: 5361 datasetA: '26.56' datasetB: '50.62' - ranking: '972' - + ranking: '90' - nameen: twins_svt_large namezh: twins_svt_large paper: @@ -933,8 +843,7 @@ blocks: download: 5895 datasetA: '29.03' datasetB: '50.47' - ranking: '921' - + ranking: '91' - nameen: vit_base_patch32_224 namezh: vit_base_patch32_224 paper: @@ -943,8 +852,7 @@ blocks: download: 3782 datasetA: '27.09' datasetB: '50.37' - ranking: '958' - + ranking: '92' - nameen: vit_small_patch32_384 namezh: vit_small_patch32_384 paper: @@ -953,8 +861,7 @@ blocks: download: 4495 datasetA: '23.55' datasetB: '50.24' - ranking: '1042' - + ranking: '93' - nameen: hardcorenas_b namezh: hardcorenas_b paper: @@ -963,8 +870,7 @@ blocks: download: 5526 datasetA: '54.72' datasetB: '50.23' - ranking: '359' - + ranking: '94' - nameen: ConvNeXt-B + ConvStem namezh: ConvNeXt-B + ConvStem paper: @@ -975,8 +881,7 @@ blocks: download: 5431 datasetA: '70.99' datasetB: '50.16' - ranking: '7' - - nameen: efficientnet_b3 + ranking: '95' - nameen: efficientnet_b3 namezh: efficientnet_b3 paper: text: 'https://huggingface.co/docs/timm/index' @@ -984,8 +889,7 @@ blocks: download: 2692 datasetA: '60.93' datasetB: '50.15' - ranking: '228' - + ranking: '96' - nameen: swinv2_tiny_window16_256 namezh: swinv2_tiny_window16_256 paper: @@ -994,8 +898,7 @@ blocks: download: 4357 datasetA: '31.49' datasetB: '50.15' - ranking: '862' - + ranking: '97' - nameen: vit_tiny_r_s16_p8_384 namezh: vit_tiny_r_s16_p8_384 paper: @@ -1004,8 +907,7 @@ blocks: download: 2579 datasetA: '22.8' datasetB: '50.13' - ranking: '1060' - + ranking: '98' - nameen: vit_base_patch32_plus_256 namezh: vit_base_patch32_plus_256 paper: @@ -1014,8 +916,7 @@ blocks: download: 4083 datasetA: '26.82' datasetB: '50.06' - ranking: '965' - + ranking: '99' - nameen: repvit_m0_9 namezh: repvit_m0_9 paper: @@ -1024,8 +925,7 @@ blocks: download: 1922 datasetA: '41.46' datasetB: '50.0' - ranking: '661' - + ranking: '100' - nameen: efficientvit_m3 namezh: efficientvit_m3 paper: @@ -1034,8 +934,7 @@ blocks: download: 2926 datasetA: '58.64' datasetB: '49.95' - ranking: '272' - + ranking: '101' - nameen: inception_next_tiny namezh: inception_next_tiny paper: @@ -1044,8 +943,7 @@ blocks: download: 8429 datasetA: '53.23' datasetB: '49.94' - ranking: '393' - + ranking: '102' - nameen: mvitv2_large namezh: mvitv2_large paper: @@ -1054,8 +952,7 @@ blocks: download: 5055 datasetA: '47.38' datasetB: '49.92' - ranking: '533' - + ranking: '103' - nameen: pnasnet5large namezh: pnasnet5large paper: @@ -1064,8 +961,7 @@ blocks: download: 9087 datasetA: '45.63' datasetB: '49.89' - ranking: '580' - + ranking: '104' - nameen: mixnet_xl namezh: mixnet_xl paper: @@ -1074,8 +970,7 @@ blocks: download: 1240 datasetA: '49.75' datasetB: '49.87' - ranking: '479' - + ranking: '105' - nameen: nf_regnet_b4 namezh: nf_regnet_b4 paper: @@ -1084,8 +979,7 @@ blocks: download: 4159 datasetA: '46.62' datasetB: '49.85' - ranking: '555' - + ranking: '106' - nameen: fastvit_t8 namezh: fastvit_t8 paper: @@ -1094,8 +988,7 @@ blocks: download: 6346 datasetA: '57.02' datasetB: '49.81' - ranking: '308' - + ranking: '107' - nameen: pit_xs_distilled_224 namezh: pit_xs_distilled_224 paper: @@ -1104,8 +997,7 @@ blocks: download: 4329 datasetA: '45.65' datasetB: '49.81' - ranking: '579' - + ranking: '108' - nameen: nf_regnet_b5 namezh: nf_regnet_b5 paper: @@ -1114,8 +1006,7 @@ blocks: download: 7416 datasetA: '46.62' datasetB: '49.71' - ranking: '556' - + ranking: '109' - nameen: vit_large_patch32_384 namezh: vit_large_patch32_384 paper: @@ -1124,8 +1015,7 @@ blocks: download: 5439 datasetA: '25.08' datasetB: '49.6' - ranking: '1007' - + ranking: '110' - nameen: vit_base_patch32_clip_224 namezh: vit_base_patch32_clip_224 paper: @@ -1134,8 +1024,7 @@ blocks: download: 7544 datasetA: '26.98' datasetB: '49.59' - ranking: '960' - + ranking: '111' - nameen: vit_base_patch16_siglip_224 namezh: vit_base_patch16_siglip_224 paper: @@ -1144,8 +1033,7 @@ blocks: download: 6358 datasetA: '27.64' datasetB: '49.58' - ranking: '949' - + ranking: '112' - nameen: coatnet_rmlp_nano_rw_224 namezh: coatnet_rmlp_nano_rw_224 paper: @@ -1154,8 +1042,7 @@ blocks: download: 9122 datasetA: '68.64' datasetB: '49.46' - ranking: '64' - + ranking: '113' - nameen: dla60x namezh: dla60x paper: @@ -1164,8 +1051,7 @@ blocks: download: 2364 datasetA: '63.44' datasetB: '49.42' - ranking: '168' - + ranking: '114' - nameen: lamhalobotnet50ts_256 namezh: lamhalobotnet50ts_256 paper: @@ -1174,8 +1060,7 @@ blocks: download: 8961 datasetA: '52.88' datasetB: '49.36' - ranking: '400' - + ranking: '115' - nameen: vit_wee_patch16_reg1_gap_256 namezh: vit_wee_patch16_reg1_gap_256 paper: @@ -1184,8 +1069,7 @@ blocks: download: 8744 datasetA: '22.77' datasetB: '49.35' - ranking: '1061' - + ranking: '116' - nameen: mobilenetv4_hybrid_large namezh: mobilenetv4_hybrid_large paper: @@ -1194,8 +1078,7 @@ blocks: download: 8495 datasetA: '48.04' datasetB: '49.28' - ranking: '511' - + ranking: '117' - nameen: eva02_large_patch14_clip_336 namezh: eva02_large_patch14_clip_336 paper: @@ -1204,8 +1087,7 @@ blocks: download: 8602 datasetA: '57.77' datasetB: '49.21' - ranking: '289' - + ranking: '118' - nameen: maxvit_base_tf_224 namezh: maxvit_base_tf_224 paper: @@ -1214,8 +1096,7 @@ blocks: download: 3292 datasetA: '51.46' datasetB: '49.21' - ranking: '436' - + ranking: '119' - nameen: cs3se_edgenet_x namezh: cs3se_edgenet_x paper: @@ -1224,8 +1105,7 @@ blocks: download: 7957 datasetA: '65.8' datasetB: '49.11' - ranking: '121' - + ranking: '120' - nameen: hiera_base_plus_224 namezh: hiera_base_plus_224 paper: @@ -1234,8 +1114,7 @@ blocks: download: 3615 datasetA: '54.18' datasetB: '49.11' - ranking: '375' - + ranking: '121' - nameen: regnetz_b16_evos namezh: regnetz_b16_evos paper: @@ -1244,8 +1123,7 @@ blocks: download: 9793 datasetA: '42.92' datasetB: '49.11' - ranking: '635' - + ranking: '122' - nameen: vit_base_patch16_xp_224 namezh: vit_base_patch16_xp_224 paper: @@ -1254,8 +1132,7 @@ blocks: download: 7992 datasetA: '27.17' datasetB: '49.02' - ranking: '957' - + ranking: '123' - nameen: eva_large_patch14_196 namezh: eva_large_patch14_196 paper: @@ -1264,8 +1141,7 @@ blocks: download: 7787 datasetA: '57.42' datasetB: '48.97' - ranking: '298' - + ranking: '124' - nameen: seresnextaa201d_32x8d namezh: seresnextaa201d_32x8d paper: @@ -1274,8 +1150,7 @@ blocks: download: 4869 datasetA: '33.72' datasetB: '48.94' - ranking: '819' - + ranking: '125' - nameen: nfnet_f3 namezh: nfnet_f3 paper: @@ -1284,8 +1159,7 @@ blocks: download: 7441 datasetA: '46.09' datasetB: '48.93' - ranking: '566' - + ranking: '126' - nameen: lcnet_100 namezh: lcnet_100 paper: @@ -1294,8 +1168,7 @@ blocks: download: 2847 datasetA: '52.73' datasetB: '48.83' - ranking: '404' - + ranking: '127' - nameen: resnet33ts namezh: resnet33ts paper: @@ -1304,8 +1177,7 @@ blocks: download: 1690 datasetA: '39.01' datasetB: '48.81' - ranking: '698' - + ranking: '128' - nameen: vit_so400m_patch14_siglip_384 namezh: vit_so400m_patch14_siglip_384 paper: @@ -1314,8 +1186,7 @@ blocks: download: 5402 datasetA: '23.3' datasetB: '48.79' - ranking: '1050' - + ranking: '129' - nameen: rexnet_150 namezh: rexnet_150 paper: @@ -1324,8 +1195,7 @@ blocks: download: 9866 datasetA: '35.41' datasetB: '48.78' - ranking: '771' - + ranking: '130' - nameen: ConvNeXt-T + ConvStem namezh: ConvNeXt-T + ConvStem paper: @@ -1336,8 +1206,7 @@ blocks: download: 6192 datasetA: '70.75' datasetB: '48.74' - ranking: '11' - + ranking: '131' - nameen: deit_base_patch16_384 namezh: deit_base_patch16_384 paper: @@ -1346,8 +1215,7 @@ blocks: download: 2377 datasetA: '64.31' datasetB: '48.68' - ranking: '151' - + ranking: '132' - nameen: convit_small namezh: convit_small paper: @@ -1356,8 +1224,7 @@ blocks: download: 8634 datasetA: '68.4' datasetB: '48.57' - ranking: '71' - + ranking: '133' - nameen: mobilenetv2_110d namezh: mobilenetv2_110d paper: @@ -1366,8 +1233,7 @@ blocks: download: 3650 datasetA: '48.64' datasetB: '48.55' - ranking: '497' - + ranking: '134' - nameen: poolformer_m48 namezh: poolformer_m48 paper: @@ -1376,8 +1242,7 @@ blocks: download: 1691 datasetA: '45.57' datasetB: '48.52' - ranking: '582' - + ranking: '135' - nameen: fastvit_s12 namezh: fastvit_s12 paper: @@ -1386,8 +1251,7 @@ blocks: download: 5480 datasetA: '57.16' datasetB: '48.48' - ranking: '304' - + ranking: '136' - nameen: eva_giant_patch14_clip_224 namezh: eva_giant_patch14_clip_224 paper: @@ -1396,8 +1260,7 @@ blocks: download: 2816 datasetA: '57.44' datasetB: '48.34' - ranking: '297' - + ranking: '137' - nameen: resnest26d namezh: resnest26d paper: @@ -1406,8 +1269,7 @@ blocks: download: 6427 datasetA: '39.8' datasetB: '48.24' - ranking: '683' - + ranking: '138' - nameen: dpn98 namezh: dpn98 paper: @@ -1416,8 +1278,7 @@ blocks: download: 8820 datasetA: '62.54' datasetB: '48.18' - ranking: '185' - + ranking: '139' - nameen: ConvNeXt-B namezh: ConvNeXt-B paper: @@ -1428,8 +1289,7 @@ blocks: download: 9006 datasetA: '71.01' datasetB: '48.13' - ranking: '6' - - nameen: coatnet_rmlp_0_rw_224 + ranking: '140' - nameen: coatnet_rmlp_0_rw_224 namezh: coatnet_rmlp_0_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' @@ -1437,8 +1297,7 @@ blocks: download: 3977 datasetA: '68.76' datasetB: '48.07' - ranking: '58' - + ranking: '141' - nameen: vit_base_patch16_plus_240 namezh: vit_base_patch16_plus_240 paper: @@ -1447,8 +1306,7 @@ blocks: download: 6474 datasetA: '27.91' datasetB: '48.01' - ranking: '945' - + ranking: '142' - nameen: cait_s36_384 namezh: cait_s36_384 paper: @@ -1457,8 +1315,7 @@ blocks: download: 9192 datasetA: '69.96' datasetB: '47.99' - ranking: '30' - + ranking: '143' - nameen: coatnet_rmlp_2_rw_224 namezh: coatnet_rmlp_2_rw_224 paper: @@ -1467,8 +1324,7 @@ blocks: download: 6874 datasetA: '68.73' datasetB: '47.99' - ranking: '61' - + ranking: '144' - nameen: crossvit_9_dagger_240 namezh: crossvit_9_dagger_240 paper: @@ -1477,8 +1333,7 @@ blocks: download: 9056 datasetA: '67.06' datasetB: '47.97' - ranking: '102' - + ranking: '145' - nameen: mvitv2_large_cls namezh: mvitv2_large_cls paper: @@ -1487,8 +1342,7 @@ blocks: download: 8836 datasetA: '47.33' datasetB: '47.95' - ranking: '534' - + ranking: '146' - nameen: convnext_xxlarge namezh: convnext_xxlarge paper: @@ -1497,8 +1351,7 @@ blocks: download: 7751 datasetA: '67.49' datasetB: '47.94' - ranking: '91' - + ranking: '147' - nameen: vit_base_patch16_gap_224 namezh: vit_base_patch16_gap_224 paper: @@ -1507,8 +1360,7 @@ blocks: download: 6760 datasetA: '28.0' datasetB: '47.93' - ranking: '944' - + ranking: '148' - nameen: vit_base_patch16_siglip_gap_224 namezh: vit_base_patch16_siglip_gap_224 paper: @@ -1517,8 +1369,7 @@ blocks: download: 7942 datasetA: '27.51' datasetB: '47.9' - ranking: '953' - + ranking: '149' - nameen: pit_ti_224 namezh: pit_ti_224 paper: @@ -1527,8 +1378,7 @@ blocks: download: 6591 datasetA: '45.74' datasetB: '47.83' - ranking: '576' - + ranking: '150' - nameen: tinynet_b namezh: tinynet_b paper: @@ -1537,8 +1387,7 @@ blocks: download: 2698 datasetA: '29.64' datasetB: '47.82' - ranking: '907' - + ranking: '151' - nameen: mixer_s16_224 namezh: mixer_s16_224 paper: @@ -1547,8 +1396,7 @@ blocks: download: 9015 datasetA: '50.02' datasetB: '47.79' - ranking: '474' - + ranking: '152' - nameen: rexnetr_200 namezh: rexnetr_200 paper: @@ -1557,8 +1405,7 @@ blocks: download: 6664 datasetA: '35.2' datasetB: '47.78' - ranking: '777' - + ranking: '153' - nameen: focalnet_huge_fl3 namezh: focalnet_huge_fl3 paper: @@ -1567,8 +1414,7 @@ blocks: download: 8010 datasetA: '56.61' datasetB: '47.74' - ranking: '319' - + ranking: '154' - nameen: xcit_nano_12_p8_224 namezh: xcit_nano_12_p8_224 paper: @@ -1577,8 +1423,7 @@ blocks: download: 7616 datasetA: '20.81' datasetB: '47.74' - ranking: '1104' - + ranking: '155' - nameen: vit_large_patch14_dinov2 namezh: vit_large_patch14_dinov2 paper: @@ -1587,8 +1432,7 @@ blocks: download: 6094 datasetA: '25.41' datasetB: '47.71' - ranking: '997' - + ranking: '156' - nameen: vit_small_patch14_reg4_dinov2 namezh: vit_small_patch14_reg4_dinov2 paper: @@ -1597,8 +1441,7 @@ blocks: download: 6929 datasetA: '23.72' datasetB: '47.6' - ranking: '1036' - + ranking: '157' - nameen: efficientnet_blur_b0 namezh: efficientnet_blur_b0 paper: @@ -1607,8 +1450,7 @@ blocks: download: 4167 datasetA: '60.41' datasetB: '47.57' - ranking: '237' - + ranking: '158' - nameen: repvit_m1_0 namezh: repvit_m1_0 paper: @@ -1617,8 +1459,7 @@ blocks: download: 2923 datasetA: '41.18' datasetB: '47.54' - ranking: '663' - + ranking: '159' - nameen: deit_tiny_patch16_224 namezh: deit_tiny_patch16_224 paper: @@ -1627,8 +1468,7 @@ blocks: download: 9247 datasetA: '64.14' datasetB: '47.49' - ranking: '155' - + ranking: '160' - nameen: resnet50x64_clip namezh: resnet50x64_clip paper: @@ -1637,8 +1477,7 @@ blocks: download: 1352 datasetA: '38.13' datasetB: '47.48' - ranking: '714' - + ranking: '161' - nameen: seresnetaa50d namezh: seresnetaa50d paper: @@ -1647,8 +1486,7 @@ blocks: download: 6710 datasetA: '33.92' datasetB: '47.34' - ranking: '809' - + ranking: '162' - nameen: efficientnet_l2 namezh: efficientnet_l2 paper: @@ -1657,8 +1495,7 @@ blocks: download: 7258 datasetA: '59.83' datasetB: '47.33' - ranking: '247' - + ranking: '163' - nameen: swin_base_patch4_window12_384 namezh: swin_base_patch4_window12_384 paper: @@ -1667,8 +1504,7 @@ blocks: download: 5464 datasetA: '33.25' datasetB: '47.27' - ranking: '827' - + ranking: '164' - nameen: vit_small_patch16_36x1_224 namezh: vit_small_patch16_36x1_224 paper: @@ -1677,8 +1513,7 @@ blocks: download: 5859 datasetA: '23.58' datasetB: '47.26' - ranking: '1038' - + ranking: '165' - nameen: repvgg_b3 namezh: repvgg_b3 paper: @@ -1687,8 +1522,7 @@ blocks: download: 7697 datasetA: '41.71' datasetB: '47.24' - ranking: '658' - + ranking: '166' - nameen: vgg13_bn namezh: vgg13_bn paper: @@ -1697,8 +1531,7 @@ blocks: download: 5818 datasetA: '28.73' datasetB: '47.23' - ranking: '926' - + ranking: '167' - nameen: legacy_senet154 namezh: legacy_senet154 paper: @@ -1707,8 +1540,7 @@ blocks: download: 2238 datasetA: '52.72' datasetB: '47.15' - ranking: '406' - + ranking: '168' - nameen: ecaresnet200d namezh: ecaresnet200d paper: @@ -1717,8 +1549,7 @@ blocks: download: 2103 datasetA: '61.76' datasetB: '47.07' - ranking: '203' - + ranking: '169' - nameen: regnety_040_sgn namezh: regnety_040_sgn paper: @@ -1727,8 +1558,7 @@ blocks: download: 2636 datasetA: '43.59' datasetB: '47.07' - ranking: '621' - + ranking: '170' - nameen: coat_lite_mini namezh: coat_lite_mini paper: @@ -1737,8 +1567,7 @@ blocks: download: 6822 datasetA: '69.61' datasetB: '47.05' - ranking: '38' - + ranking: '171' - nameen: semnasnet_075 namezh: semnasnet_075 paper: @@ -1747,8 +1576,7 @@ blocks: download: 6703 datasetA: '34.49' datasetB: '46.98' - ranking: '792' - + ranking: '172' - nameen: resnetv2_50 namezh: resnetv2_50 paper: @@ -1757,8 +1585,7 @@ blocks: download: 5759 datasetA: '36.47' datasetB: '46.97' - ranking: '745' - + ranking: '173' - nameen: vit_relpos_base_patch16_cls_224 namezh: vit_relpos_base_patch16_cls_224 paper: @@ -1767,8 +1594,7 @@ blocks: download: 1001 datasetA: '24.2' datasetB: '46.97' - ranking: '1024' - + ranking: '174' - nameen: efficientnetv2_xl namezh: efficientnetv2_xl paper: @@ -1777,8 +1603,7 @@ blocks: download: 3743 datasetA: '59.03' datasetB: '46.96' - ranking: '261' - + ranking: '175' - nameen: nf_ecaresnet26 namezh: nf_ecaresnet26 paper: @@ -1787,8 +1612,7 @@ blocks: download: 9011 datasetA: '46.79' datasetB: '46.94' - ranking: '548' - + ranking: '176' - nameen: regnety_080_tv namezh: regnety_080_tv paper: @@ -1797,8 +1621,7 @@ blocks: download: 1943 datasetA: '43.5' datasetB: '46.85' - ranking: '624' - + ranking: '177' - nameen: cs3darknet_l namezh: cs3darknet_l paper: @@ -1807,8 +1630,7 @@ blocks: download: 7058 datasetA: '66.0' datasetB: '46.83' - ranking: '116' - + ranking: '178' - nameen: resnet200d namezh: resnet200d paper: @@ -1817,8 +1639,7 @@ blocks: download: 5722 datasetA: '37.4' datasetB: '46.83' - ranking: '729' - + ranking: '179' - nameen: mobilenetv2_035 namezh: mobilenetv2_035 paper: @@ -1827,8 +1648,7 @@ blocks: download: 3673 datasetA: '48.82' datasetB: '46.82' - ranking: '493' - + ranking: '180' - nameen: seresnet269d namezh: seresnet269d paper: @@ -1837,8 +1657,7 @@ blocks: download: 5188 datasetA: '33.93' datasetB: '46.66' - ranking: '808' - + ranking: '181' - nameen: vit_tiny_patch16_384 namezh: vit_tiny_patch16_384 paper: @@ -1847,8 +1666,7 @@ blocks: download: 5972 datasetA: '22.81' datasetB: '46.63' - ranking: '1058' - + ranking: '182' - nameen: cait_m48_448 namezh: cait_m48_448 paper: @@ -1857,8 +1675,7 @@ blocks: download: 5559 datasetA: '70.04' datasetB: '46.6' - ranking: '27' - + ranking: '183' - nameen: inception_next_small namezh: inception_next_small paper: @@ -1867,8 +1684,7 @@ blocks: download: 4472 datasetA: '53.27' datasetB: '46.56' - ranking: '392' - + ranking: '184' - nameen: skresnet18 namezh: skresnet18 paper: @@ -1877,8 +1693,7 @@ blocks: download: 1465 datasetA: '33.66' datasetB: '46.55' - ranking: '820' - + ranking: '185' - nameen: vit_base_patch8_224 namezh: vit_base_patch8_224 paper: @@ -1887,8 +1702,7 @@ blocks: download: 6545 datasetA: '28.31' datasetB: '46.53' - ranking: '934' - + ranking: '186' - nameen: eca_nfnet_l1 namezh: eca_nfnet_l1 paper: @@ -1897,8 +1711,7 @@ blocks: download: 4265 datasetA: '62.36' datasetB: '46.48' - ranking: '191' - + ranking: '187' - nameen: pit_b_distilled_224 namezh: pit_b_distilled_224 paper: @@ -1907,8 +1720,7 @@ blocks: download: 6016 datasetA: '45.88' datasetB: '46.47' - ranking: '573' - + ranking: '188' - nameen: tf_efficientnet_el namezh: tf_efficientnet_el paper: @@ -1917,8 +1729,7 @@ blocks: download: 1528 datasetA: '30.96' datasetB: '46.46' - ranking: '875' - + ranking: '189' - nameen: dla169 namezh: dla169 paper: @@ -1927,8 +1738,7 @@ blocks: download: 3800 datasetA: '63.19' datasetB: '46.43' - ranking: '173' - + ranking: '190' - nameen: haloregnetz_b namezh: haloregnetz_b paper: @@ -1937,8 +1747,7 @@ blocks: download: 5887 datasetA: '54.79' datasetB: '46.36' - ranking: '357' - + ranking: '191' - nameen: efficientnet_b0_g16_evos namezh: efficientnet_b0_g16_evos paper: @@ -1947,8 +1756,7 @@ blocks: download: 8257 datasetA: '61.13' datasetB: '46.33' - ranking: '222' - + ranking: '192' - nameen: maxxvitv2_rmlp_base_rw_384 namezh: maxxvitv2_rmlp_base_rw_384 paper: @@ -1957,8 +1765,7 @@ blocks: download: 7016 datasetA: '50.23' datasetB: '46.3' - ranking: '468' - + ranking: '193' - nameen: volo_d1_384 namezh: volo_d1_384 paper: @@ -1967,8 +1774,7 @@ blocks: download: 7260 datasetA: '22.03' datasetB: '46.3' - ranking: '1077' - + ranking: '194' - nameen: eva_giant_patch14_224 namezh: eva_giant_patch14_224 paper: @@ -1977,8 +1783,7 @@ blocks: download: 4536 datasetA: '57.54' datasetB: '46.28' - ranking: '294' - + ranking: '195' - nameen: beit_large_patch16_512 namezh: beit_large_patch16_512 paper: @@ -1987,8 +1792,7 @@ blocks: download: 5558 datasetA: '70.57' datasetB: '46.24' - ranking: '17' - + ranking: '196' - nameen: repvgg_b2 namezh: repvgg_b2 paper: @@ -1997,8 +1801,7 @@ blocks: download: 1885 datasetA: '41.78' datasetB: '46.16' - ranking: '656' - + ranking: '197' - nameen: crossvit_18_240 namezh: crossvit_18_240 paper: @@ -2007,8 +1810,7 @@ blocks: download: 5388 datasetA: '66.86' datasetB: '46.13' - ranking: '106' - + ranking: '198' - nameen: dla60x_c namezh: dla60x_c paper: @@ -2017,8 +1819,7 @@ blocks: download: 9647 datasetA: '63.39' datasetB: '46.12' - ranking: '169' - + ranking: '199' - nameen: rexnetr_300 namezh: rexnetr_300 paper: @@ -2027,8 +1828,7 @@ blocks: download: 4794 datasetA: '35.17' datasetB: '46.12' - ranking: '778' - + ranking: '200' - nameen: gcresnext26ts namezh: gcresnext26ts paper: @@ -2037,8 +1837,7 @@ blocks: download: 2455 datasetA: '55.71' datasetB: '46.08' - ranking: '332' - + ranking: '201' - nameen: efficientformer_l1 namezh: efficientformer_l1 paper: @@ -2047,8 +1846,7 @@ blocks: download: 6238 datasetA: '61.38' datasetB: '46.06' - ranking: '213' - + ranking: '202' - nameen: resnest101e namezh: resnest101e paper: @@ -2057,8 +1855,7 @@ blocks: download: 7954 datasetA: '39.51' datasetB: '46.06' - ranking: '687' - + ranking: '203' - nameen: tnt_b_patch16_224 namezh: tnt_b_patch16_224 paper: @@ -2067,8 +1864,7 @@ blocks: download: 1713 datasetA: '29.45' datasetB: '46.02' - ranking: '911' - + ranking: '204' - nameen: convnext_pico namezh: convnext_pico paper: @@ -2077,8 +1873,7 @@ blocks: download: 4410 datasetA: '67.68' datasetB: '45.95' - ranking: '85' - + ranking: '205' - nameen: efficientnet_b0_gn namezh: efficientnet_b0_gn paper: @@ -2087,8 +1882,7 @@ blocks: download: 3561 datasetA: '61.13' datasetB: '45.91' - ranking: '223' - + ranking: '206' - nameen: efficientnet_b6 namezh: efficientnet_b6 paper: @@ -2097,8 +1891,7 @@ blocks: download: 5614 datasetA: '60.56' datasetB: '45.89' - ranking: '234' - + ranking: '207' - nameen: maxvit_tiny_pm_256 namezh: maxvit_tiny_pm_256 paper: @@ -2107,8 +1900,7 @@ blocks: download: 4144 datasetA: '50.69' datasetB: '45.87' - ranking: '454' - + ranking: '208' - nameen: resnext26ts namezh: resnext26ts paper: @@ -2117,8 +1909,7 @@ blocks: download: 4362 datasetA: '35.81' datasetB: '45.77' - ranking: '761' - + ranking: '209' - nameen: vit_medium_patch16_rope_reg1_gap_256 namezh: vit_medium_patch16_rope_reg1_gap_256 paper: @@ -2127,8 +1918,7 @@ blocks: download: 7440 datasetA: '24.5' datasetB: '45.73' - ranking: '1018' - + ranking: '210' - nameen: xcit_small_24_p8_224 namezh: xcit_small_24_p8_224 paper: @@ -2137,8 +1927,7 @@ blocks: download: 4251 datasetA: '20.59' datasetB: '45.68' - ranking: '1112' - + ranking: '211' - nameen: ecaresnet50d namezh: ecaresnet50d paper: @@ -2147,8 +1936,7 @@ blocks: download: 9271 datasetA: '61.96' datasetB: '45.67' - ranking: '198' - + ranking: '212' - nameen: tf_efficientnetv2_m namezh: tf_efficientnetv2_m paper: @@ -2157,8 +1945,7 @@ blocks: download: 2815 datasetA: '30.48' datasetB: '45.67' - ranking: '889' - + ranking: '213' - nameen: swin_s3_base_224 namezh: swin_s3_base_224 paper: @@ -2167,8 +1954,7 @@ blocks: download: 4838 datasetA: '33.17' datasetB: '45.65' - ranking: '830' - + ranking: '214' - nameen: vit_relpos_medium_patch16_cls_224 namezh: vit_relpos_medium_patch16_cls_224 paper: @@ -2177,8 +1963,7 @@ blocks: download: 4588 datasetA: '23.91' datasetB: '45.61' - ranking: '1030' - + ranking: '215' - nameen: mixer_b16_224 namezh: mixer_b16_224 paper: @@ -2187,8 +1972,7 @@ blocks: download: 4749 datasetA: '50.18' datasetB: '45.59' - ranking: '470' - + ranking: '216' - nameen: coatnet_0_rw_224 namezh: coatnet_0_rw_224 paper: @@ -2197,8 +1981,7 @@ blocks: download: 5400 datasetA: '69.43' datasetB: '45.53' - ranking: '45' - + ranking: '217' - nameen: levit_conv_192 namezh: levit_conv_192 paper: @@ -2207,8 +1990,7 @@ blocks: download: 1097 datasetA: '51.74' datasetB: '45.49' - ranking: '428' - + ranking: '218' - nameen: cspresnet50w namezh: cspresnet50w paper: @@ -2217,8 +1999,7 @@ blocks: download: 7670 datasetA: '65.4' datasetB: '45.47' - ranking: '128' - + ranking: '219' - nameen: fastvit_mci1 namezh: fastvit_mci1 paper: @@ -2227,8 +2008,7 @@ blocks: download: 8658 datasetA: '57.23' datasetB: '45.44' - ranking: '302' - + ranking: '220' - nameen: poolformer_s12 namezh: poolformer_s12 paper: @@ -2237,8 +2017,7 @@ blocks: download: 5184 datasetA: '45.56' datasetB: '45.4' - ranking: '583' - + ranking: '221' - nameen: resnet18d namezh: resnet18d paper: @@ -2247,8 +2026,7 @@ blocks: download: 8995 datasetA: '39.29' datasetB: '45.37' - ranking: '693' - + ranking: '222' - nameen: efficientvit_l1 namezh: efficientvit_l1 paper: @@ -2257,8 +2035,7 @@ blocks: download: 5991 datasetA: '58.86' datasetB: '45.33' - ranking: '266' - + ranking: '223' - nameen: repghostnet_150 namezh: repghostnet_150 paper: @@ -2267,8 +2044,7 @@ blocks: download: 3512 datasetA: '42.15' datasetB: '45.33' - ranking: '648' - + ranking: '224' - nameen: coatnet_bn_0_rw_224 namezh: coatnet_bn_0_rw_224 paper: @@ -2277,8 +2053,7 @@ blocks: download: 3902 datasetA: '68.96' datasetB: '45.31' - ranking: '54' - + ranking: '225' - nameen: eva02_small_patch14_224 namezh: eva02_small_patch14_224 paper: @@ -2287,8 +2062,7 @@ blocks: download: 4915 datasetA: '57.71' datasetB: '45.27' - ranking: '290' - + ranking: '226' - nameen: vit_gigantic_patch14_clip_224 namezh: vit_gigantic_patch14_clip_224 paper: @@ -2297,8 +2071,7 @@ blocks: download: 7998 datasetA: '25.84' datasetB: '45.27' - ranking: '982' - + ranking: '227' - nameen: resnet152s namezh: resnet152s paper: @@ -2307,8 +2080,7 @@ blocks: download: 7131 datasetA: '37.46' datasetB: '45.06' - ranking: '727' - + ranking: '228' - nameen: twins_pcpvt_large namezh: twins_pcpvt_large paper: @@ -2317,8 +2089,7 @@ blocks: download: 4111 datasetA: '29.13' datasetB: '45.06' - ranking: '918' - + ranking: '229' - nameen: efficientnet_b7 namezh: efficientnet_b7 paper: @@ -2327,8 +2098,7 @@ blocks: download: 8195 datasetA: '60.53' datasetB: '45.05' - ranking: '235' - + ranking: '230' - nameen: dm_nfnet_f0 namezh: dm_nfnet_f0 paper: @@ -2337,8 +2107,7 @@ blocks: download: 2952 datasetA: '63.16' datasetB: '45.01' - ranking: '174' - + ranking: '231' - nameen: xcit_medium_24_p16_224 namezh: xcit_medium_24_p16_224 paper: @@ -2347,8 +2116,7 @@ blocks: download: 1573 datasetA: '20.83' datasetB: '44.97' - ranking: '1102' - + ranking: '232' - nameen: swinv2_small_window8_256 namezh: swinv2_small_window8_256 paper: @@ -2357,8 +2125,7 @@ blocks: download: 7948 datasetA: '31.67' datasetB: '44.93' - ranking: '859' - + ranking: '233' - nameen: crossvit_small_240 namezh: crossvit_small_240 paper: @@ -2367,8 +2134,7 @@ blocks: download: 2761 datasetA: '66.47' datasetB: '44.91' - ranking: '110' - + ranking: '234' - nameen: xcit_nano_12_p8_384 namezh: xcit_nano_12_p8_384 paper: @@ -2377,8 +2143,7 @@ blocks: download: 2618 datasetA: '20.78' datasetB: '44.9' - ranking: '1105' - + ranking: '235' - nameen: vit_base_patch32_clip_448 namezh: vit_base_patch32_clip_448 paper: @@ -2387,8 +2152,7 @@ blocks: download: 6111 datasetA: '26.89' datasetB: '44.88' - ranking: '963' - + ranking: '236' - nameen: seresnext50_32x4d namezh: seresnext50_32x4d paper: @@ -2397,8 +2161,7 @@ blocks: download: 5968 datasetA: '33.85' datasetB: '44.78' - ranking: '813' - + ranking: '237' - nameen: xcit_small_12_p8_224 namezh: xcit_small_12_p8_224 paper: @@ -2407,8 +2170,7 @@ blocks: download: 7515 datasetA: '20.69' datasetB: '44.71' - ranking: '1108' - + ranking: '238' - nameen: regnetz_d8_evos namezh: regnetz_d8_evos paper: @@ -2417,8 +2179,7 @@ blocks: download: 2651 datasetA: '42.63' datasetB: '44.67' - ranking: '639' - + ranking: '239' - nameen: levit_conv_128 namezh: levit_conv_128 paper: @@ -2427,8 +2188,7 @@ blocks: download: 2118 datasetA: '51.8' datasetB: '44.56' - ranking: '426' - + ranking: '240' - nameen: swinv2_cr_tiny_224 namezh: swinv2_cr_tiny_224 paper: @@ -2437,8 +2197,7 @@ blocks: download: 2558 datasetA: '31.88' datasetB: '44.56' - ranking: '853' - + ranking: '241' - nameen: maxvit_tiny_rw_224 namezh: maxvit_tiny_rw_224 paper: @@ -2447,8 +2206,7 @@ blocks: download: 4504 datasetA: '50.67' datasetB: '44.54' - ranking: '455' - + ranking: '242' - nameen: focalnet_tiny_srf namezh: focalnet_tiny_srf paper: @@ -2457,8 +2215,7 @@ blocks: download: 6534 datasetA: '55.88' datasetB: '44.53' - ranking: '326' - + ranking: '243' - nameen: resnext50_32x4d namezh: resnext50_32x4d paper: @@ -2467,8 +2224,7 @@ blocks: download: 9710 datasetA: '35.8' datasetB: '44.52' - ranking: '762' - + ranking: '244' - nameen: resnet50x16_clip namezh: resnet50x16_clip paper: @@ -2477,8 +2233,7 @@ blocks: download: 2333 datasetA: '38.15' datasetB: '44.36' - ranking: '712' - + ranking: '245' - nameen: nest_tiny_jx namezh: nest_tiny_jx paper: @@ -2487,8 +2242,7 @@ blocks: download: 8776 datasetA: '47.01' datasetB: '44.31' - ranking: '544' - + ranking: '246' - nameen: crossvit_15_dagger_240 namezh: crossvit_15_dagger_240 paper: @@ -2497,8 +2251,7 @@ blocks: download: 4697 datasetA: '66.98' datasetB: '44.26' - ranking: '104' - + ranking: '247' - nameen: ghostnet_130 namezh: ghostnet_130 paper: @@ -2507,8 +2260,7 @@ blocks: download: 8952 datasetA: '55.18' datasetB: '44.25' - ranking: '344' - + ranking: '248' - nameen: convformer_s18 namezh: convformer_s18 paper: @@ -2517,8 +2269,7 @@ blocks: download: 1315 datasetA: '68.55' datasetB: '44.21' - ranking: '68' - + ranking: '249' - nameen: ecaresnet50t namezh: ecaresnet50t paper: @@ -2527,8 +2278,7 @@ blocks: download: 5672 datasetA: '61.93' datasetB: '44.16' - ranking: '200' - + ranking: '250' - nameen: vit_giant_patch14_reg4_dinov2 namezh: vit_giant_patch14_reg4_dinov2 paper: @@ -2537,8 +2287,7 @@ blocks: download: 4041 datasetA: '26.01' datasetB: '44.16' - ranking: '979' - + ranking: '251' - nameen: vitamin_large_336 namezh: vitamin_large_336 paper: @@ -2547,8 +2296,7 @@ blocks: download: 7825 datasetA: '22.47' datasetB: '44.14' - ranking: '1070' - + ranking: '252' - nameen: vitamin_large2_256 namezh: vitamin_large2_256 paper: @@ -2557,8 +2305,7 @@ blocks: download: 8485 datasetA: '22.66' datasetB: '44.1' - ranking: '1065' - + ranking: '253' - nameen: dm_nfnet_f6 namezh: dm_nfnet_f6 paper: @@ -2567,8 +2314,7 @@ blocks: download: 7413 datasetA: '62.9' datasetB: '44.07' - ranking: '180' - + ranking: '254' - nameen: resnetv2_101x3_bit namezh: resnetv2_101x3_bit paper: @@ -2577,8 +2323,7 @@ blocks: download: 9600 datasetA: '36.06' datasetB: '44.07' - ranking: '756' - + ranking: '255' - nameen: edgenext_small namezh: edgenext_small paper: @@ -2587,8 +2332,7 @@ blocks: download: 6321 datasetA: '61.57' datasetB: '44.05' - ranking: '209' - + ranking: '256' - nameen: crossvit_18_dagger_408 namezh: crossvit_18_dagger_408 paper: @@ -2597,8 +2341,7 @@ blocks: download: 4904 datasetA: '66.67' datasetB: '43.93' - ranking: '108' - + ranking: '257' - nameen: mobilevit_xs namezh: mobilevit_xs paper: @@ -2607,8 +2350,7 @@ blocks: download: 2012 datasetA: '47.79' datasetB: '43.81' - ranking: '521' - + ranking: '258' - nameen: gcvit_small namezh: gcvit_small paper: @@ -2617,8 +2359,7 @@ blocks: download: 4204 datasetA: '55.57' datasetB: '43.7' - ranking: '335' - + ranking: '259' - nameen: vit_large_patch16_siglip_gap_384 namezh: vit_large_patch16_siglip_gap_384 paper: @@ -2627,8 +2368,7 @@ blocks: download: 5054 datasetA: '25.09' datasetB: '43.68' - ranking: '1005' - + ranking: '260' - nameen: legacy_seresnet34 namezh: legacy_seresnet34 paper: @@ -2637,8 +2377,7 @@ blocks: download: 8864 datasetA: '52.65' datasetB: '43.62' - ranking: '408' - + ranking: '261' - nameen: vit_srelpos_small_patch16_224 namezh: vit_srelpos_small_patch16_224 paper: @@ -2647,8 +2386,7 @@ blocks: download: 8476 datasetA: '22.86' datasetB: '43.62' - ranking: '1056' - + ranking: '262' - nameen: tf_efficientnet_b3 namezh: tf_efficientnet_b3 paper: @@ -2657,8 +2395,7 @@ blocks: download: 5423 datasetA: '31.38' datasetB: '43.57' - ranking: '866' - + ranking: '263' - nameen: swinv2_tiny_window8_256 namezh: swinv2_tiny_window8_256 paper: @@ -2667,8 +2404,7 @@ blocks: download: 6861 datasetA: '31.52' datasetB: '43.51' - ranking: '861' - + ranking: '264' - nameen: vitamin_xlarge_336 namezh: vitamin_xlarge_336 paper: @@ -2677,8 +2413,7 @@ blocks: download: 7102 datasetA: '22.19' datasetB: '43.46' - ranking: '1074' - + ranking: '265' - nameen: res2net50_48w_2s namezh: res2net50_48w_2s paper: @@ -2687,8 +2422,7 @@ blocks: download: 7362 datasetA: '40.41' datasetB: '43.44' - ranking: '673' - + ranking: '266' - nameen: lambda_resnet26t namezh: lambda_resnet26t paper: @@ -2697,8 +2431,7 @@ blocks: download: 6475 datasetA: '53.01' datasetB: '43.43' - ranking: '398' - + ranking: '267' - nameen: efficientnet_b3_g8_gn namezh: efficientnet_b3_g8_gn paper: @@ -2707,8 +2440,7 @@ blocks: download: 1987 datasetA: '60.86' datasetB: '43.42' - ranking: '229' - + ranking: '268' - nameen: darknet17 namezh: darknet17 paper: @@ -2717,8 +2449,7 @@ blocks: download: 3625 datasetA: '65.37' datasetB: '43.4' - ranking: '130' - + ranking: '269' - nameen: hrnet_w18_small_v2 namezh: hrnet_w18_small_v2 paper: @@ -2727,8 +2458,7 @@ blocks: download: 7452 datasetA: '53.9' datasetB: '43.4' - ranking: '382' - + ranking: '270' - nameen: coatnet_4_224 namezh: coatnet_4_224 paper: @@ -2737,8 +2467,7 @@ blocks: download: 9951 datasetA: '68.99' datasetB: '43.39' - ranking: '52' - + ranking: '271' - nameen: resnetv2_50x1_bit namezh: resnetv2_50x1_bit paper: @@ -2747,8 +2476,7 @@ blocks: download: 4682 datasetA: '36.27' datasetB: '43.38' - ranking: '751' - + ranking: '272' - nameen: efficientformerv2_l namezh: efficientformerv2_l paper: @@ -2757,8 +2485,7 @@ blocks: download: 9145 datasetA: '61.32' datasetB: '43.36' - ranking: '216' - + ranking: '273' - nameen: levit_384 namezh: levit_384 paper: @@ -2767,8 +2494,7 @@ blocks: download: 7264 datasetA: '52.09' datasetB: '43.34' - ranking: '421' - + ranking: '274' - nameen: resnet18 namezh: resnet18 paper: @@ -2777,8 +2503,7 @@ blocks: download: 5996 datasetA: '39.4' datasetB: '43.32' - ranking: '692' - + ranking: '275' - nameen: coatnet_2_rw_224 namezh: coatnet_2_rw_224 paper: @@ -2787,8 +2512,7 @@ blocks: download: 4984 datasetA: '69.04' datasetB: '43.31' - ranking: '49' - + ranking: '276' - nameen: convnextv2_nano namezh: convnextv2_nano paper: @@ -2797,8 +2521,7 @@ blocks: download: 1030 datasetA: '67.26' datasetB: '43.3' - ranking: '97' - + ranking: '277' - nameen: gernet_s namezh: gernet_s paper: @@ -2807,8 +2530,7 @@ blocks: download: 2694 datasetA: '55.31' datasetB: '43.28' - ranking: '341' - + ranking: '278' - nameen: efficientnet_x_b5 namezh: efficientnet_x_b5 paper: @@ -2817,8 +2539,7 @@ blocks: download: 8984 datasetA: '59.31' datasetB: '43.25' - ranking: '254' - + ranking: '279' - nameen: maxvit_pico_rw_256 namezh: maxvit_pico_rw_256 paper: @@ -2827,8 +2548,7 @@ blocks: download: 9405 datasetA: '51.23' datasetB: '43.21' - ranking: '443' - + ranking: '280' - nameen: coatnet_pico_rw_224 namezh: coatnet_pico_rw_224 paper: @@ -2837,8 +2557,7 @@ blocks: download: 7550 datasetA: '68.85' datasetB: '43.16' - ranking: '57' - + ranking: '281' - nameen: vit_small_patch14_dinov2 namezh: vit_small_patch14_dinov2 paper: @@ -2847,8 +2566,7 @@ blocks: download: 8752 datasetA: '23.72' datasetB: '43.14' - ranking: '1035' - + ranking: '282' - nameen: xcit_tiny_12_p16_384 namezh: xcit_tiny_12_p16_384 paper: @@ -2857,8 +2575,7 @@ blocks: download: 2328 datasetA: '20.32' datasetB: '43.14' - ranking: '1119' - + ranking: '283' - nameen: ecaresnet50d_pruned namezh: ecaresnet50d_pruned paper: @@ -2867,8 +2584,7 @@ blocks: download: 4659 datasetA: '61.95' datasetB: '43.09' - ranking: '199' - + ranking: '284' - nameen: resnet26 namezh: resnet26 paper: @@ -2877,8 +2593,7 @@ blocks: download: 1249 datasetA: '39.23' datasetB: '43.08' - ranking: '694' - + ranking: '285' - nameen: regnetz_d8 namezh: regnetz_d8 paper: @@ -2887,8 +2602,7 @@ blocks: download: 2801 datasetA: '42.73' datasetB: '43.05' - ranking: '638' - + ranking: '286' - nameen: gcvit_base namezh: gcvit_base paper: @@ -2897,8 +2611,7 @@ blocks: download: 1737 datasetA: '55.59' datasetB: '43.04' - ranking: '334' - + ranking: '287' - nameen: convit_tiny namezh: convit_tiny paper: @@ -2907,8 +2620,7 @@ blocks: download: 1261 datasetA: '68.37' datasetB: '43.03' - ranking: '72' - + ranking: '288' - nameen: tf_efficientnet_b2 namezh: tf_efficientnet_b2 paper: @@ -2917,8 +2629,7 @@ blocks: download: 3927 datasetA: '31.39' datasetB: '43.02' - ranking: '865' - + ranking: '289' - nameen: resnext101_32x4d namezh: resnext101_32x4d paper: @@ -2927,8 +2638,7 @@ blocks: download: 9968 datasetA: '35.65' datasetB: '42.93' - ranking: '764' - + ranking: '290' - nameen: resnet14t namezh: resnet14t paper: @@ -2937,8 +2647,7 @@ blocks: download: 1930 datasetA: '39.42' datasetB: '42.9' - ranking: '691' - + ranking: '291' - nameen: efficientvit_m1 namezh: efficientvit_m1 paper: @@ -2947,8 +2656,7 @@ blocks: download: 6707 datasetA: '58.77' datasetB: '42.86' - ranking: '270' - + ranking: '292' - nameen: gcresnet33ts namezh: gcresnet33ts paper: @@ -2957,8 +2665,7 @@ blocks: download: 7266 datasetA: '55.76' datasetB: '42.84' - ranking: '330' - + ranking: '293' - nameen: vit_base_patch32_clip_384 namezh: vit_base_patch32_clip_384 paper: @@ -2967,8 +2674,7 @@ blocks: download: 9847 datasetA: '26.95' datasetB: '42.8' - ranking: '962' - + ranking: '294' - nameen: convnext_tiny_hnf namezh: convnext_tiny_hnf paper: @@ -2977,8 +2683,7 @@ blocks: download: 3000 datasetA: '67.58' datasetB: '42.73' - ranking: '89' - + ranking: '295' - nameen: gernet_m namezh: gernet_m paper: @@ -2987,8 +2692,7 @@ blocks: download: 2024 datasetA: '55.38' datasetB: '42.7' - ranking: '340' - + ranking: '296' - nameen: vit_huge_patch14_clip_quickgelu_224 namezh: vit_huge_patch14_clip_quickgelu_224 paper: @@ -2997,8 +2701,7 @@ blocks: download: 1992 datasetA: '25.65' datasetB: '42.69' - ranking: '987' - + ranking: '297' - nameen: vit_small_r26_s32_384 namezh: vit_small_r26_s32_384 paper: @@ -3007,8 +2710,7 @@ blocks: download: 1069 datasetA: '23.49' datasetB: '42.69' - ranking: '1044' - + ranking: '298' - nameen: coatnet_0_224 namezh: coatnet_0_224 paper: @@ -3017,8 +2719,7 @@ blocks: download: 4432 datasetA: '69.43' datasetB: '42.68' - ranking: '44' - + ranking: '299' - nameen: hgnet_base namezh: hgnet_base paper: @@ -3027,8 +2728,7 @@ blocks: download: 8166 datasetA: '54.57' datasetB: '42.56' - ranking: '364' - + ranking: '300' - nameen: resnet152 namezh: resnet152 paper: @@ -3037,8 +2737,7 @@ blocks: download: 1476 datasetA: '37.66' datasetB: '42.54' - ranking: '724' - + ranking: '301' - nameen: convnextv2_base namezh: convnextv2_base paper: @@ -3047,8 +2746,7 @@ blocks: download: 3867 datasetA: '67.32' datasetB: '42.52' - ranking: '93' - + ranking: '302' - nameen: convnextv2_tiny namezh: convnextv2_tiny paper: @@ -3057,8 +2755,7 @@ blocks: download: 4580 datasetA: '67.13' datasetB: '42.5' - ranking: '100' - + ranking: '303' - nameen: vitamin_small_224 namezh: vitamin_small_224 paper: @@ -3067,8 +2764,7 @@ blocks: download: 6656 datasetA: '22.35' datasetB: '42.23' - ranking: '1072' - + ranking: '304' - nameen: regnety_008_tv namezh: regnety_008_tv paper: @@ -3077,8 +2773,7 @@ blocks: download: 2606 datasetA: '43.78' datasetB: '42.07' - ranking: '617' - + ranking: '305' - nameen: vit_large_patch16_384 namezh: vit_large_patch16_384 paper: @@ -3087,8 +2782,7 @@ blocks: download: 6701 datasetA: '25.3' datasetB: '42.05' - ranking: '1001' - + ranking: '306' - nameen: tf_efficientnetv2_b1 namezh: tf_efficientnetv2_b1 paper: @@ -3097,8 +2791,7 @@ blocks: download: 4485 datasetA: '30.57' datasetB: '42.01' - ranking: '885' - + ranking: '307' - nameen: resnet51q namezh: resnet51q paper: @@ -3107,8 +2800,7 @@ blocks: download: 1928 datasetA: '38.05' datasetB: '41.99' - ranking: '716' - + ranking: '308' - nameen: davit_tiny namezh: davit_tiny paper: @@ -3117,8 +2809,7 @@ blocks: download: 8514 datasetA: '64.7' datasetB: '41.96' - ranking: '139' - + ranking: '309' - nameen: fbnetc_100 namezh: fbnetc_100 paper: @@ -3127,8 +2818,7 @@ blocks: download: 9458 datasetA: '56.88' datasetB: '41.91' - ranking: '310' - + ranking: '310' - nameen: fbnetv3_b namezh: fbnetv3_b paper: @@ -3137,8 +2827,7 @@ blocks: download: 7767 datasetA: '56.83' datasetB: '41.91' - ranking: '311' - + ranking: '311' - nameen: pit_ti_distilled_224 namezh: pit_ti_distilled_224 paper: @@ -3147,8 +2836,7 @@ blocks: download: 9925 datasetA: '45.72' datasetB: '41.86' - ranking: '577' - + ranking: '312' - nameen: eva02_large_patch14_clip_224 namezh: eva02_large_patch14_clip_224 paper: @@ -3157,8 +2845,7 @@ blocks: download: 1943 datasetA: '57.8' datasetB: '41.74' - ranking: '288' - + ranking: '313' - nameen: xcit_nano_12_p16_384 namezh: xcit_nano_12_p16_384 paper: @@ -3167,8 +2854,7 @@ blocks: download: 6866 datasetA: '20.7' datasetB: '41.71' - ranking: '1107' - + ranking: '314' - nameen: tresnet_m namezh: tresnet_m paper: @@ -3177,8 +2863,7 @@ blocks: download: 4026 datasetA: '29.34' datasetB: '41.69' - ranking: '914' - + ranking: '315' - nameen: nf_regnet_b0 namezh: nf_regnet_b0 paper: @@ -3187,8 +2872,7 @@ blocks: download: 6998 datasetA: '46.78' datasetB: '41.68' - ranking: '551' - + ranking: '316' - nameen: rexnet_130 namezh: rexnet_130 paper: @@ -3197,8 +2881,7 @@ blocks: download: 2939 datasetA: '35.43' datasetB: '41.67' - ranking: '770' - + ranking: '317' - nameen: maxxvit_rmlp_small_rw_256 namezh: maxxvit_rmlp_small_rw_256 paper: @@ -3207,8 +2890,7 @@ blocks: download: 2689 datasetA: '50.29' datasetB: '41.57' - ranking: '464' - + ranking: '318' - nameen: levit_256 namezh: levit_256 paper: @@ -3217,8 +2899,7 @@ blocks: download: 3761 datasetA: '52.13' datasetB: '41.44' - ranking: '419' - + ranking: '319' - nameen: mobilenet_100 namezh: mobilenet_100 paper: @@ -3227,8 +2908,7 @@ blocks: download: 8510 datasetA: '49.19' datasetB: '41.43' - ranking: '486' - + ranking: '320' - nameen: efficientnet_x_b3 namezh: efficientnet_x_b3 paper: @@ -3237,8 +2917,7 @@ blocks: download: 3614 datasetA: '59.37' datasetB: '41.19' - ranking: '253' - + ranking: '321' - nameen: hrnet_w30 namezh: hrnet_w30 paper: @@ -3247,8 +2926,7 @@ blocks: download: 7999 datasetA: '53.87' datasetB: '41.16' - ranking: '384' - + ranking: '322' - nameen: tf_efficientnetv2_b0 namezh: tf_efficientnetv2_b0 paper: @@ -3257,8 +2935,7 @@ blocks: download: 2950 datasetA: '30.58' datasetB: '41.1' - ranking: '884' - + ranking: '323' - nameen: swinv2_cr_base_224 namezh: swinv2_cr_base_224 paper: @@ -3267,8 +2944,7 @@ blocks: download: 3202 datasetA: '32.46' datasetB: '41.03' - ranking: '840' - + ranking: '324' - nameen: dm_nfnet_f1 namezh: dm_nfnet_f1 paper: @@ -3277,8 +2953,7 @@ blocks: download: 3488 datasetA: '63.06' datasetB: '41.0' - ranking: '175' - + ranking: '325' - nameen: resnext101_64x4d namezh: resnext101_64x4d paper: @@ -3287,8 +2962,7 @@ blocks: download: 5095 datasetA: '35.5' datasetB: '40.94' - ranking: '768' - + ranking: '326' - nameen: volo_d3_448 namezh: volo_d3_448 paper: @@ -3297,8 +2971,7 @@ blocks: download: 5361 datasetA: '21.76' datasetB: '40.94' - ranking: '1081' - + ranking: '327' - nameen: densenet161 namezh: densenet161 paper: @@ -3307,8 +2980,7 @@ blocks: download: 5040 datasetA: '64.12' datasetB: '40.9' - ranking: '157' - + ranking: '328' - nameen: vit_huge_patch14_gap_224 namezh: vit_huge_patch14_gap_224 paper: @@ -3317,8 +2989,7 @@ blocks: download: 3688 datasetA: '25.6' datasetB: '40.84' - ranking: '989' - + ranking: '329' - nameen: resnet50_clip_gap namezh: resnet50_clip_gap paper: @@ -3327,8 +2998,7 @@ blocks: download: 9821 datasetA: '38.61' datasetB: '40.82' - ranking: '703' - + ranking: '330' - nameen: vit_huge_patch14_clip_quickgelu_378 namezh: vit_huge_patch14_clip_quickgelu_378 paper: @@ -3337,8 +3007,7 @@ blocks: download: 5896 datasetA: '25.62' datasetB: '40.82' - ranking: '988' - + ranking: '331' - nameen: efficientnet_lite3 namezh: efficientnet_lite3 paper: @@ -3347,8 +3016,7 @@ blocks: download: 7950 datasetA: '59.46' datasetB: '40.81' - ranking: '251' - + ranking: '332' - nameen: resmlp_24_224 namezh: resmlp_24_224 paper: @@ -3357,8 +3025,7 @@ blocks: download: 4586 datasetA: '40.21' datasetB: '40.8' - ranking: '679' - + ranking: '333' - nameen: tf_efficientnet_l2 namezh: tf_efficientnet_l2 paper: @@ -3367,8 +3034,7 @@ blocks: download: 5084 datasetA: '30.88' datasetB: '40.8' - ranking: '878' - + ranking: '334' - nameen: efficientvit_m2 namezh: efficientvit_m2 paper: @@ -3377,8 +3043,7 @@ blocks: download: 6889 datasetA: '58.7' datasetB: '40.78' - ranking: '271' - + ranking: '335' - nameen: res2net50_26w_4s namezh: res2net50_26w_4s paper: @@ -3387,8 +3052,7 @@ blocks: download: 2416 datasetA: '40.67' datasetB: '40.68' - ranking: '670' - + ranking: '336' - nameen: xcit_small_12_p16_384 namezh: xcit_small_12_p16_384 paper: @@ -3397,8 +3061,7 @@ blocks: download: 7544 datasetA: '20.64' datasetB: '40.6' - ranking: '1111' - + ranking: '337' - nameen: resnest14d namezh: resnest14d paper: @@ -3407,8 +3070,7 @@ blocks: download: 9792 datasetA: '39.93' datasetB: '40.59' - ranking: '682' - + ranking: '338' - nameen: convnextv2_pico namezh: convnextv2_pico paper: @@ -3417,8 +3079,7 @@ blocks: download: 1120 datasetA: '67.21' datasetB: '40.58' - ranking: '98' - + ranking: '339' - nameen: pvt_v2_b1 namezh: pvt_v2_b1 paper: @@ -3427,8 +3088,7 @@ blocks: download: 3736 datasetA: '45.19' datasetB: '40.58' - ranking: '592' - + ranking: '340' - nameen: maxvit_rmlp_small_rw_256 namezh: maxvit_rmlp_small_rw_256 paper: @@ -3437,8 +3097,7 @@ blocks: download: 7023 datasetA: '50.99' datasetB: '40.53' - ranking: '449' - + ranking: '341' - nameen: efficientvit_b3 namezh: efficientvit_b3 paper: @@ -3447,8 +3106,7 @@ blocks: download: 7279 datasetA: '58.86' datasetB: '40.46' - ranking: '265' - + ranking: '342' - nameen: vit_small_patch8_224 namezh: vit_small_patch8_224 paper: @@ -3457,8 +3115,7 @@ blocks: download: 3435 datasetA: '23.73' datasetB: '40.42' - ranking: '1034' - + ranking: '343' - nameen: repvgg_b2g4 namezh: repvgg_b2g4 paper: @@ -3467,8 +3124,7 @@ blocks: download: 8896 datasetA: '41.78' datasetB: '40.38' - ranking: '657' - + ranking: '344' - nameen: efficientnet_b1 namezh: efficientnet_b1 paper: @@ -3477,8 +3133,7 @@ blocks: download: 5669 datasetA: '61.09' datasetB: '40.36' - ranking: '224' - + ranking: '345' - nameen: vit_giant_patch14_224 namezh: vit_giant_patch14_224 paper: @@ -3487,8 +3142,7 @@ blocks: download: 9784 datasetA: '26.17' datasetB: '40.35' - ranking: '976' - + ranking: '346' - nameen: maxxvitv2_nano_rw_256 namezh: maxxvitv2_nano_rw_256 paper: @@ -3497,8 +3151,7 @@ blocks: download: 1750 datasetA: '50.25' datasetB: '40.2' - ranking: '466' - + ranking: '347' - nameen: hgnetv2_b0 namezh: hgnetv2_b0 paper: @@ -3507,8 +3160,7 @@ blocks: download: 8212 datasetA: '54.48' datasetB: '40.17' - ranking: '367' - + ranking: '348' - nameen: eva02_tiny_patch14_336 namezh: eva02_tiny_patch14_336 paper: @@ -3517,8 +3169,7 @@ blocks: download: 1676 datasetA: '57.54' datasetB: '40.16' - ranking: '293' - + ranking: '349' - nameen: vit_so400m_patch14_siglip_gap_448 namezh: vit_so400m_patch14_siglip_gap_448 paper: @@ -3527,8 +3178,7 @@ blocks: download: 5749 datasetA: '23.15' datasetB: '40.15' - ranking: '1053' - + ranking: '350' - nameen: legacy_seresnet50 namezh: legacy_seresnet50 paper: @@ -3537,8 +3187,7 @@ blocks: download: 6311 datasetA: '52.52' datasetB: '40.13' - ranking: '409' - + ranking: '351' - nameen: skresnet50d namezh: skresnet50d paper: @@ -3547,8 +3196,7 @@ blocks: download: 8590 datasetA: '33.53' datasetB: '40.13' - ranking: '823' - + ranking: '352' - nameen: efficientnet_em namezh: efficientnet_em paper: @@ -3557,8 +3205,7 @@ blocks: download: 8708 datasetA: '60.11' datasetB: '40.03' - ranking: '243' - + ranking: '353' - nameen: vit_relpos_base_patch32_plus_rpn_256 namezh: vit_relpos_base_patch32_plus_rpn_256 paper: @@ -3567,8 +3214,7 @@ blocks: download: 5088 datasetA: '24.08' datasetB: '40.0' - ranking: '1028' - + ranking: '354' - nameen: xcit_small_24_p8_384 namezh: xcit_small_24_p8_384 paper: @@ -3577,8 +3223,7 @@ blocks: download: 5189 datasetA: '20.53' datasetB: '39.98' - ranking: '1113' - + ranking: '355' - nameen: swinv2_cr_huge_224 namezh: swinv2_cr_huge_224 paper: @@ -3587,8 +3232,7 @@ blocks: download: 2747 datasetA: '32.27' datasetB: '39.97' - ranking: '845' - + ranking: '356' - nameen: vit_large_patch14_224 namezh: vit_large_patch14_224 paper: @@ -3597,8 +3241,7 @@ blocks: download: 3587 datasetA: '25.47' datasetB: '39.94' - ranking: '992' - + ranking: '357' - nameen: eca_halonext26ts namezh: eca_halonext26ts paper: @@ -3607,8 +3250,7 @@ blocks: download: 1845 datasetA: '62.38' datasetB: '39.92' - ranking: '189' - + ranking: '358' - nameen: efficientnet_lite2 namezh: efficientnet_lite2 paper: @@ -3617,8 +3259,7 @@ blocks: download: 8781 datasetA: '59.51' datasetB: '39.91' - ranking: '250' - + ranking: '359' - nameen: skresnext50_32x4d namezh: skresnext50_32x4d paper: @@ -3627,8 +3268,7 @@ blocks: download: 4920 datasetA: '33.39' datasetB: '39.81' - ranking: '824' - + ranking: '360' - nameen: coatnet_3_224 namezh: coatnet_3_224 paper: @@ -3637,8 +3277,7 @@ blocks: download: 1904 datasetA: '69.03' datasetB: '39.8' - ranking: '50' - + ranking: '361' - nameen: convnextv2_femto namezh: convnextv2_femto paper: @@ -3647,8 +3286,7 @@ blocks: download: 6226 datasetA: '67.31' datasetB: '39.8' - ranking: '94' - + ranking: '362' - nameen: nest_base_jx namezh: nest_base_jx paper: @@ -3657,8 +3295,7 @@ blocks: download: 5030 datasetA: '47.15' datasetB: '39.74' - ranking: '540' - + ranking: '363' - nameen: hrnet_w18 namezh: hrnet_w18 paper: @@ -3667,8 +3304,7 @@ blocks: download: 7661 datasetA: '54.09' datasetB: '39.7' - ranking: '380' - + ranking: '364' - nameen: eva02_base_patch14_224 namezh: eva02_base_patch14_224 paper: @@ -3677,8 +3313,7 @@ blocks: download: 6778 datasetA: '58.12' datasetB: '39.66' - ranking: '282' - + ranking: '365' - nameen: tf_efficientnet_b4 namezh: tf_efficientnet_b4 paper: @@ -3687,8 +3322,7 @@ blocks: download: 3573 datasetA: '31.32' datasetB: '39.6' - ranking: '867' - + ranking: '366' - nameen: coatnet_nano_cc_224 namezh: coatnet_nano_cc_224 paper: @@ -3697,8 +3331,7 @@ blocks: download: 9040 datasetA: '68.92' datasetB: '39.59' - ranking: '55' - + ranking: '367' - nameen: coat_mini namezh: coat_mini paper: @@ -3707,8 +3340,7 @@ blocks: download: 9924 datasetA: '69.45' datasetB: '39.57' - ranking: '41' - + ranking: '368' - nameen: regnetz_c16_evos namezh: regnetz_c16_evos paper: @@ -3717,8 +3349,7 @@ blocks: download: 9405 datasetA: '42.82' datasetB: '39.43' - ranking: '637' - + ranking: '369' - nameen: coat_lite_medium namezh: coat_lite_medium paper: @@ -3727,8 +3358,7 @@ blocks: download: 2967 datasetA: '69.66' datasetB: '39.33' - ranking: '36' - + ranking: '370' - nameen: nf_resnet26 namezh: nf_resnet26 paper: @@ -3737,8 +3367,7 @@ blocks: download: 7539 datasetA: '46.57' datasetB: '39.22' - ranking: '557' - + ranking: '371' - nameen: gc_efficientnetv2_rw_t namezh: gc_efficientnetv2_rw_t paper: @@ -3747,8 +3376,7 @@ blocks: download: 7512 datasetA: '55.82' datasetB: '39.14' - ranking: '329' - + ranking: '372' - nameen: gernet_l namezh: gernet_l paper: @@ -3757,8 +3385,7 @@ blocks: download: 5258 datasetA: '55.39' datasetB: '39.13' - ranking: '339' - + ranking: '373' - nameen: mobilenetv4_conv_blur_medium namezh: mobilenetv4_conv_blur_medium paper: @@ -3767,8 +3394,7 @@ blocks: download: 4023 datasetA: '48.15' datasetB: '39.05' - ranking: '507' - + ranking: '374' - nameen: res2net50_26w_6s namezh: res2net50_26w_6s paper: @@ -3777,8 +3403,7 @@ blocks: download: 1080 datasetA: '40.64' datasetB: '39.05' - ranking: '671' - + ranking: '375' - nameen: tf_efficientnet_b0 namezh: tf_efficientnet_b0 paper: @@ -3787,8 +3412,7 @@ blocks: download: 1208 datasetA: '31.44' datasetB: '39.05' - ranking: '863' - + ranking: '376' - nameen: semnasnet_140 namezh: semnasnet_140 paper: @@ -3797,8 +3421,7 @@ blocks: download: 5872 datasetA: '34.42' datasetB: '39.0' - ranking: '794' - + ranking: '377' - nameen: vit_base_patch32_clip_quickgelu_224 namezh: vit_base_patch32_clip_quickgelu_224 paper: @@ -3807,8 +3430,7 @@ blocks: download: 6229 datasetA: '26.82' datasetB: '38.93' - ranking: '964' - + ranking: '378' - nameen: vit_base_patch16_clip_224 namezh: vit_base_patch16_clip_224 paper: @@ -3817,8 +3439,7 @@ blocks: download: 8491 datasetA: '28.07' datasetB: '38.82' - ranking: '941' - + ranking: '379' - nameen: repvgg_a1 namezh: repvgg_a1 paper: @@ -3827,8 +3448,7 @@ blocks: download: 4769 datasetA: '42.04' datasetB: '38.71' - ranking: '651' - + ranking: '380' - nameen: maxvit_tiny_tf_512 namezh: maxvit_tiny_tf_512 paper: @@ -3837,8 +3457,7 @@ blocks: download: 6007 datasetA: '50.38' datasetB: '38.7' - ranking: '459' - + ranking: '381' - nameen: caformer_b36 namezh: caformer_b36 paper: @@ -3847,8 +3466,7 @@ blocks: download: 3920 datasetA: '70.4' datasetB: '38.64' - ranking: '22' - + ranking: '382' - nameen: hiera_small_224 namezh: hiera_small_224 paper: @@ -3857,8 +3475,7 @@ blocks: download: 2267 datasetA: '54.16' datasetB: '38.6' - ranking: '378' - + ranking: '383' - nameen: mvitv2_small_cls namezh: mvitv2_small_cls paper: @@ -3867,8 +3484,7 @@ blocks: download: 4742 datasetA: '47.29' datasetB: '38.59' - ranking: '536' - + ranking: '384' - nameen: levit_128s namezh: levit_128s paper: @@ -3877,8 +3493,7 @@ blocks: download: 1922 datasetA: '52.22' datasetB: '38.38' - ranking: '417' - + ranking: '385' - nameen: vit_so400m_patch14_siglip_gap_224 namezh: vit_so400m_patch14_siglip_gap_224 paper: @@ -3887,8 +3502,7 @@ blocks: download: 3117 datasetA: '23.29' datasetB: '38.33' - ranking: '1051' - + ranking: '386' - nameen: maxxvitv2_rmlp_large_rw_224 namezh: maxxvitv2_rmlp_large_rw_224 paper: @@ -3897,8 +3511,7 @@ blocks: download: 3832 datasetA: '50.22' datasetB: '38.31' - ranking: '469' - + ranking: '387' - nameen: xception65 namezh: xception65 paper: @@ -3907,8 +3520,7 @@ blocks: download: 4177 datasetA: '21.45' datasetB: '38.29' - ranking: '1093' - + ranking: '388' - nameen: resnet152c namezh: resnet152c paper: @@ -3917,8 +3529,7 @@ blocks: download: 5094 datasetA: '37.63' datasetB: '38.16' - ranking: '725' - + ranking: '389' - nameen: coatnet_rmlp_1_rw_224 namezh: coatnet_rmlp_1_rw_224 paper: @@ -3927,8 +3538,7 @@ blocks: download: 5556 datasetA: '68.73' datasetB: '38.14' - ranking: '60' - + ranking: '390' - nameen: tresnet_xl namezh: tresnet_xl paper: @@ -3937,8 +3547,7 @@ blocks: download: 8069 datasetA: '29.22' datasetB: '38.12' - ranking: '916' - + ranking: '391' - nameen: cait_xxs36_384 namezh: cait_xxs36_384 paper: @@ -3947,8 +3556,7 @@ blocks: download: 8555 datasetA: '69.81' datasetB: '38.1' - ranking: '35' - + ranking: '392' - nameen: vit_relpos_small_patch16_rpn_224 namezh: vit_relpos_small_patch16_rpn_224 paper: @@ -3957,8 +3565,7 @@ blocks: download: 1106 datasetA: '23.76' datasetB: '38.02' - ranking: '1033' - + ranking: '393' - nameen: rexnet_100 namezh: rexnet_100 paper: @@ -3967,8 +3574,7 @@ blocks: download: 6567 datasetA: '35.49' datasetB: '37.92' - ranking: '769' - + ranking: '394' - nameen: eva02_large_patch14_448 namezh: eva02_large_patch14_448 paper: @@ -3977,8 +3583,7 @@ blocks: download: 8819 datasetA: '57.87' datasetB: '37.88' - ranking: '287' - + ranking: '395' - nameen: resnext101_32x8d namezh: resnext101_32x8d paper: @@ -3987,8 +3592,7 @@ blocks: download: 3799 datasetA: '35.63' datasetB: '37.82' - ranking: '765' - + ranking: '396' - nameen: tf_efficientnet_cc_b0_8e namezh: tf_efficientnet_cc_b0_8e paper: @@ -3997,8 +3601,7 @@ blocks: download: 2047 datasetA: '31.04' datasetB: '37.67' - ranking: '873' - + ranking: '397' - nameen: xcit_medium_24_p16_384 namezh: xcit_medium_24_p16_384 paper: @@ -4007,8 +3610,7 @@ blocks: download: 3839 datasetA: '20.82' datasetB: '37.54' - ranking: '1103' - + ranking: '398' - nameen: mixer_b32_224 namezh: mixer_b32_224 paper: @@ -4017,8 +3619,7 @@ blocks: download: 6122 datasetA: '50.18' datasetB: '37.53' - ranking: '471' - + ranking: '399' - nameen: regnetz_b16 namezh: regnetz_b16 paper: @@ -4027,8 +3628,7 @@ blocks: download: 7078 datasetA: '43.02' datasetB: '37.5' - ranking: '634' - + ranking: '400' - nameen: convnext_small namezh: convnext_small paper: @@ -4037,8 +3637,7 @@ blocks: download: 4487 datasetA: '67.64' datasetB: '37.47' - ranking: '87' - + ranking: '401' - nameen: nest_base namezh: nest_base paper: @@ -4047,8 +3646,7 @@ blocks: download: 7877 datasetA: '47.16' datasetB: '37.47' - ranking: '539' - + ranking: '402' - nameen: coatnext_nano_rw_224 namezh: coatnext_nano_rw_224 paper: @@ -4057,8 +3655,7 @@ blocks: download: 1861 datasetA: '68.62' datasetB: '37.42' - ranking: '65' - + ranking: '403' - nameen: efficientformerv2_s2 namezh: efficientformerv2_s2 paper: @@ -4067,8 +3664,7 @@ blocks: download: 3137 datasetA: '61.23' datasetB: '37.36' - ranking: '219' - + ranking: '404' - nameen: vit_small_patch32_224 namezh: vit_small_patch32_224 paper: @@ -4077,8 +3673,7 @@ blocks: download: 7722 datasetA: '23.57' datasetB: '37.32' - ranking: '1041' - + ranking: '405' - nameen: cs3darknet_focus_s namezh: cs3darknet_focus_s paper: @@ -4087,8 +3682,7 @@ blocks: download: 9302 datasetA: '66.2' datasetB: '37.3' - ranking: '114' - + ranking: '406' - nameen: nf_seresnet50 namezh: nf_seresnet50 paper: @@ -4097,8 +3691,7 @@ blocks: download: 2153 datasetA: '46.37' datasetB: '37.26' - ranking: '561' - + ranking: '407' - nameen: swinv2_base_window12_192 namezh: swinv2_base_window12_192 paper: @@ -4107,8 +3700,7 @@ blocks: download: 5208 datasetA: '32.66' datasetB: '37.24' - ranking: '836' - + ranking: '408' - nameen: maxvit_xlarge_tf_224 namezh: maxvit_xlarge_tf_224 paper: @@ -4117,8 +3709,7 @@ blocks: download: 4122 datasetA: '50.36' datasetB: '37.14' - ranking: '460' - + ranking: '409' - nameen: regnetz_040 namezh: regnetz_040 paper: @@ -4127,8 +3718,7 @@ blocks: download: 1735 datasetA: '43.08' datasetB: '36.91' - ranking: '632' - + ranking: '410' - nameen: beit_base_patch16_224 namezh: beit_base_patch16_224 paper: @@ -4137,8 +3727,7 @@ blocks: download: 8472 datasetA: '70.71' datasetB: '36.88' - ranking: '13' - + ranking: '411' - nameen: seresnet200d namezh: seresnet200d paper: @@ -4147,8 +3736,7 @@ blocks: download: 1970 datasetA: '34.04' datasetB: '36.87' - ranking: '807' - + ranking: '412' - nameen: vit_base_patch16_siglip_256 namezh: vit_base_patch16_siglip_256 paper: @@ -4157,8 +3745,7 @@ blocks: download: 5946 datasetA: '27.62' datasetB: '36.86' - ranking: '950' - + ranking: '413' - nameen: seresnet50 namezh: seresnet50 paper: @@ -4167,8 +3754,7 @@ blocks: download: 5446 datasetA: '34.08' datasetB: '36.85' - ranking: '802' - + ranking: '414' - nameen: regnety_640 namezh: regnety_640 paper: @@ -4177,8 +3763,7 @@ blocks: download: 9502 datasetA: '43.26' datasetB: '36.82' - ranking: '628' - + ranking: '415' - nameen: xcit_large_24_p8_224 namezh: xcit_large_24_p8_224 paper: @@ -4187,8 +3772,7 @@ blocks: download: 2697 datasetA: '21.19' datasetB: '36.82' - ranking: '1096' - + ranking: '416' - nameen: resnet50c namezh: resnet50c paper: @@ -4197,8 +3781,7 @@ blocks: download: 2172 datasetA: '38.28' datasetB: '36.78' - ranking: '706' - + ranking: '417' - nameen: twins_svt_base namezh: twins_svt_base paper: @@ -4207,8 +3790,7 @@ blocks: download: 4548 datasetA: '29.05' datasetB: '36.71' - ranking: '920' - + ranking: '418' - nameen: gcvit_xxtiny namezh: gcvit_xxtiny paper: @@ -4217,8 +3799,7 @@ blocks: download: 9635 datasetA: '55.48' datasetB: '36.65' - ranking: '338' - + ranking: '419' - nameen: resnetrs420 namezh: resnetrs420 paper: @@ -4227,8 +3808,7 @@ blocks: download: 7573 datasetA: '36.6' datasetB: '36.61' - ranking: '744' - + ranking: '420' - nameen: deit_base_distilled_patch16_384 namezh: deit_base_distilled_patch16_384 paper: @@ -4237,8 +3817,7 @@ blocks: download: 4102 datasetA: '64.34' datasetB: '36.57' - ranking: '149' - + ranking: '421' - nameen: xcit_large_24_p16_224 namezh: xcit_large_24_p16_224 paper: @@ -4247,8 +3826,7 @@ blocks: download: 4676 datasetA: '21.12' datasetB: '36.44' - ranking: '1098' - + ranking: '422' - nameen: efficientformer_l3 namezh: efficientformer_l3 paper: @@ -4257,8 +3835,7 @@ blocks: download: 8922 datasetA: '61.34' datasetB: '36.41' - ranking: '214' - + ranking: '423' - nameen: tf_efficientnet_b7 namezh: tf_efficientnet_b7 paper: @@ -4267,8 +3844,7 @@ blocks: download: 7402 datasetA: '31.2' datasetB: '36.4' - ranking: '870' - + ranking: '424' - nameen: vit_gigantic_patch14_224 namezh: vit_gigantic_patch14_224 paper: @@ -4277,8 +3853,7 @@ blocks: download: 8573 datasetA: '25.89' datasetB: '36.4' - ranking: '981' - + ranking: '425' - nameen: lambda_resnet50ts namezh: lambda_resnet50ts paper: @@ -4287,8 +3862,7 @@ blocks: download: 4947 datasetA: '52.96' datasetB: '36.38' - ranking: '399' - + ranking: '426' - nameen: eva_giant_patch14_336 namezh: eva_giant_patch14_336 paper: @@ -4297,8 +3871,7 @@ blocks: download: 3882 datasetA: '57.51' datasetB: '36.37' - ranking: '295' - + ranking: '427' - nameen: ese_vovnet19b_slim_dw namezh: ese_vovnet19b_slim_dw paper: @@ -4307,8 +3880,7 @@ blocks: download: 6685 datasetA: '58.33' datasetB: '36.36' - ranking: '277' - + ranking: '428' - nameen: nf_regnet_b3 namezh: nf_regnet_b3 paper: @@ -4317,8 +3889,7 @@ blocks: download: 4331 datasetA: '46.64' datasetB: '36.36' - ranking: '554' - + ranking: '429' - nameen: cs3darknet_focus_l namezh: cs3darknet_focus_l paper: @@ -4327,8 +3898,7 @@ blocks: download: 8180 datasetA: '66.45' datasetB: '36.35' - ranking: '112' - + ranking: '430' - nameen: xcit_tiny_12_p16_224 namezh: xcit_tiny_12_p16_224 paper: @@ -4337,8 +3907,7 @@ blocks: download: 7477 datasetA: '20.32' datasetB: '36.33' - ranking: '1118' - + ranking: '431' - nameen: ghostnetv2_130 namezh: ghostnetv2_130 paper: @@ -4347,8 +3916,7 @@ blocks: download: 4067 datasetA: '55.15' datasetB: '36.31' - ranking: '346' - + ranking: '432' - nameen: hrnet_w40 namezh: hrnet_w40 paper: @@ -4357,8 +3925,7 @@ blocks: download: 1164 datasetA: '53.78' datasetB: '36.26' - ranking: '386' - + ranking: '433' - nameen: mobilenet_125 namezh: mobilenet_125 paper: @@ -4367,8 +3934,7 @@ blocks: download: 2798 datasetA: '49.16' datasetB: '36.22' - ranking: '487' - + ranking: '434' - nameen: fastvit_ma36 namezh: fastvit_ma36 paper: @@ -4377,8 +3943,7 @@ blocks: download: 8415 datasetA: '57.24' datasetB: '36.21' - ranking: '300' - + ranking: '435' - nameen: efficientnet_b0 namezh: efficientnet_b0 paper: @@ -4387,8 +3952,7 @@ blocks: download: 2849 datasetA: '61.19' datasetB: '36.18' - ranking: '220' - + ranking: '436' - nameen: resnetrs200 namezh: resnetrs200 paper: @@ -4397,8 +3961,7 @@ blocks: download: 5457 datasetA: '36.66' datasetB: '36.18' - ranking: '741' - + ranking: '437' - nameen: repvgg_d2se namezh: repvgg_d2se paper: @@ -4407,8 +3970,7 @@ blocks: download: 1806 datasetA: '41.48' datasetB: '36.13' - ranking: '660' - + ranking: '438' - nameen: deit3_small_patch16_384 namezh: deit3_small_patch16_384 paper: @@ -4417,8 +3979,7 @@ blocks: download: 4096 datasetA: '64.44' datasetB: '36.12' - ranking: '147' - + ranking: '439' - nameen: mvitv2_small namezh: mvitv2_small paper: @@ -4427,8 +3988,7 @@ blocks: download: 1139 datasetA: '47.31' datasetB: '36.09' - ranking: '535' - + ranking: '440' - nameen: vit_base_r50_s16_384 namezh: vit_base_r50_s16_384 paper: @@ -4437,8 +3997,7 @@ blocks: download: 6104 datasetA: '26.72' datasetB: '36.03' - ranking: '968' - + ranking: '441' - nameen: vit_betwixt_patch16_gap_256 namezh: vit_betwixt_patch16_gap_256 paper: @@ -4447,8 +4006,7 @@ blocks: download: 5527 datasetA: '26.56' datasetB: '35.97' - ranking: '971' - + ranking: '442' - nameen: resnetblur50 namezh: resnetblur50 paper: @@ -4457,8 +4015,7 @@ blocks: download: 4603 datasetA: '37.18' datasetB: '35.92' - ranking: '735' - + ranking: '443' - nameen: gcresnext50ts namezh: gcresnext50ts paper: @@ -4467,8 +4024,7 @@ blocks: download: 8785 datasetA: '55.65' datasetB: '35.91' - ranking: '333' - + ranking: '444' - nameen: xcit_large_24_p8_384 namezh: xcit_large_24_p8_384 paper: @@ -4477,8 +4033,7 @@ blocks: download: 8468 datasetA: '21.14' datasetB: '35.88' - ranking: '1097' - + ranking: '445' - nameen: mobilenetv4_hybrid_medium namezh: mobilenetv4_hybrid_medium paper: @@ -4487,8 +4042,7 @@ blocks: download: 6638 datasetA: '47.97' datasetB: '35.82' - ranking: '513' - + ranking: '446' - nameen: cait_xxs24_224 namezh: cait_xxs24_224 paper: @@ -4497,8 +4051,7 @@ blocks: download: 8597 datasetA: '69.91' datasetB: '35.79' - ranking: '32' - + ranking: '447' - nameen: resnetrs101 namezh: resnetrs101 paper: @@ -4507,8 +4060,7 @@ blocks: download: 3989 datasetA: '36.9' datasetB: '35.76' - ranking: '739' - + ranking: '448' - nameen: seresnext101_32x4d namezh: seresnext101_32x4d paper: @@ -4517,8 +4069,7 @@ blocks: download: 6204 datasetA: '33.8' datasetB: '35.72' - ranking: '814' - + ranking: '449' - nameen: regnety_080 namezh: regnety_080 paper: @@ -4527,8 +4078,7 @@ blocks: download: 4932 datasetA: '43.53' datasetB: '35.71' - ranking: '623' - + ranking: '450' - nameen: samvit_base_patch16_224 namezh: samvit_base_patch16_224 paper: @@ -4537,8 +4087,7 @@ blocks: download: 7300 datasetA: '35.1' datasetB: '35.62' - ranking: '780' - + ranking: '451' - nameen: mobilenet_edgetpu_v2_s namezh: mobilenet_edgetpu_v2_s paper: @@ -4547,8 +4096,7 @@ blocks: download: 7447 datasetA: '48.86' datasetB: '35.59' - ranking: '491' - + ranking: '452' - nameen: vit_base_patch16_siglip_gap_384 namezh: vit_base_patch16_siglip_gap_384 paper: @@ -4557,8 +4105,7 @@ blocks: download: 9366 datasetA: '27.29' datasetB: '35.57' - ranking: '955' - + ranking: '453' - nameen: ConvNeXt-L + ConvStem namezh: ConvNeXt-L + ConvStem paper: @@ -4569,8 +4116,7 @@ blocks: download: 2240 datasetA: '71.02' datasetB: '35.55' - ranking: '4' - - nameen: hardcorenas_d + ranking: '454' - nameen: hardcorenas_d namezh: hardcorenas_d paper: text: 'https://huggingface.co/docs/timm/index' @@ -4578,8 +4124,7 @@ blocks: download: 2923 datasetA: '54.66' datasetB: '35.48' - ranking: '361' - + ranking: '455' - nameen: lambda_resnet26rpt_256 namezh: lambda_resnet26rpt_256 paper: @@ -4588,8 +4133,7 @@ blocks: download: 2198 datasetA: '53.01' datasetB: '35.46' - ranking: '397' - + ranking: '456' - nameen: repvgg_a0 namezh: repvgg_a0 paper: @@ -4598,8 +4142,7 @@ blocks: download: 5672 datasetA: '42.04' datasetB: '35.43' - ranking: '650' - + ranking: '457' - nameen: tf_efficientnet_lite0 namezh: tf_efficientnet_lite0 paper: @@ -4608,8 +4151,7 @@ blocks: download: 8830 datasetA: '30.85' datasetB: '35.39' - ranking: '879' - + ranking: '458' - nameen: vit_srelpos_medium_patch16_224 namezh: vit_srelpos_medium_patch16_224 paper: @@ -4618,8 +4160,7 @@ blocks: download: 9520 datasetA: '23.12' datasetB: '35.39' - ranking: '1055' - + ranking: '459' - nameen: tf_efficientnet_lite1 namezh: tf_efficientnet_lite1 paper: @@ -4628,8 +4169,7 @@ blocks: download: 8551 datasetA: '30.77' datasetB: '35.38' - ranking: '880' - + ranking: '460' - nameen: volo_d4_224 namezh: volo_d4_224 paper: @@ -4638,8 +4178,7 @@ blocks: download: 9873 datasetA: '21.73' datasetB: '35.36' - ranking: '1082' - + ranking: '461' - nameen: eva02_base_patch16_clip_224 namezh: eva02_base_patch16_clip_224 paper: @@ -4648,8 +4187,7 @@ blocks: download: 8490 datasetA: '58.05' datasetB: '35.33' - ranking: '284' - + ranking: '462' - nameen: resmlp_36_224 namezh: resmlp_36_224 paper: @@ -4658,8 +4196,7 @@ blocks: download: 2404 datasetA: '40.17' datasetB: '35.32' - ranking: '680' - + ranking: '463' - nameen: hiera_tiny_224 namezh: hiera_tiny_224 paper: @@ -4668,8 +4205,7 @@ blocks: download: 4756 datasetA: '54.15' datasetB: '35.31' - ranking: '379' - + ranking: '464' - nameen: cs3sedarknet_l namezh: cs3sedarknet_l paper: @@ -4678,8 +4214,7 @@ blocks: download: 9532 datasetA: '65.79' datasetB: '35.28' - ranking: '122' - + ranking: '465' - nameen: vit_base_patch16_224_miil namezh: vit_base_patch16_224_miil paper: @@ -4688,8 +4223,7 @@ blocks: download: 8207 datasetA: '28.09' datasetB: '35.28' - ranking: '939' - + ranking: '466' - nameen: legacy_seresnext101_32x4d namezh: legacy_seresnext101_32x4d paper: @@ -4698,8 +4232,7 @@ blocks: download: 8382 datasetA: '52.3' datasetB: '35.17' - ranking: '414' - + ranking: '467' - nameen: twins_svt_small namezh: twins_svt_small paper: @@ -4708,8 +4241,7 @@ blocks: download: 8262 datasetA: '29.0' datasetB: '35.15' - ranking: '922' - + ranking: '468' - nameen: edgenext_x_small namezh: edgenext_x_small paper: @@ -4718,8 +4250,7 @@ blocks: download: 2643 datasetA: '61.54' datasetB: '35.12' - ranking: '211' - + ranking: '469' - nameen: swinv2_cr_huge_384 namezh: swinv2_cr_huge_384 paper: @@ -4728,8 +4259,7 @@ blocks: download: 9580 datasetA: '32.25' datasetB: '35.03' - ranking: '846' - + ranking: '470' - nameen: vit_base_patch16_rope_reg1_gap_256 namezh: vit_base_patch16_rope_reg1_gap_256 paper: @@ -4738,8 +4268,7 @@ blocks: download: 6153 datasetA: '27.69' datasetB: '35.03' - ranking: '947' - + ranking: '471' - nameen: efficientnetv2_s namezh: efficientnetv2_s paper: @@ -4748,8 +4277,7 @@ blocks: download: 5941 datasetA: '59.1' datasetB: '34.97' - ranking: '260' - + ranking: '472' - nameen: swinv2_cr_giant_384 namezh: swinv2_cr_giant_384 paper: @@ -4758,8 +4286,7 @@ blocks: download: 2552 datasetA: '32.35' datasetB: '34.92' - ranking: '844' - + ranking: '473' - nameen: vit_base_resnet50d_224 namezh: vit_base_resnet50d_224 paper: @@ -4768,8 +4295,7 @@ blocks: download: 4150 datasetA: '26.61' datasetB: '34.82' - ranking: '970' - + ranking: '474' - nameen: hrnet_w44 namezh: hrnet_w44 paper: @@ -4778,8 +4304,7 @@ blocks: download: 7862 datasetA: '53.52' datasetB: '34.8' - ranking: '387' - + ranking: '475' - nameen: lcnet_150 namezh: lcnet_150 paper: @@ -4788,8 +4313,7 @@ blocks: download: 9636 datasetA: '52.73' datasetB: '34.75' - ranking: '405' - + ranking: '476' - nameen: ViT-B + ConvStem namezh: ViT-B + ConvStem paper: @@ -4800,8 +4324,7 @@ blocks: download: 6491 datasetA: '70.94' datasetB: '34.69' - ranking: '8' - - nameen: regnetx_032 + ranking: '477' - nameen: regnetx_032 namezh: regnetx_032 paper: text: 'https://huggingface.co/docs/timm/index' @@ -4809,8 +4332,7 @@ blocks: download: 2040 datasetA: '44.58' datasetB: '34.65' - ranking: '606' - + ranking: '478' - nameen: xcit_tiny_12_p8_384 namezh: xcit_tiny_12_p8_384 paper: @@ -4819,8 +4341,7 @@ blocks: download: 7913 datasetA: '20.34' datasetB: '34.63' - ranking: '1117' - + ranking: '479' - nameen: hgnet_small namezh: hgnet_small paper: @@ -4829,8 +4350,7 @@ blocks: download: 5369 datasetA: '54.55' datasetB: '34.58' - ranking: '365' - + ranking: '480' - nameen: vit_so150m_patch16_reg4_gap_256 namezh: vit_so150m_patch16_reg4_gap_256 paper: @@ -4839,8 +4359,7 @@ blocks: download: 4222 datasetA: '23.46' datasetB: '34.41' - ranking: '1047' - + ranking: '481' - nameen: swinv2_base_window8_256 namezh: swinv2_base_window8_256 paper: @@ -4849,8 +4368,7 @@ blocks: download: 3924 datasetA: '32.66' datasetB: '34.32' - ranking: '835' - + ranking: '482' - nameen: deit_small_patch16_224 namezh: deit_small_patch16_224 paper: @@ -4859,8 +4377,7 @@ blocks: download: 1020 datasetA: '64.16' datasetB: '34.3' - ranking: '153' - + ranking: '483' - nameen: ConvNeXtV2-L + Swin-L namezh: ConvNeXtV2-L + Swin-L paper: @@ -4871,8 +4388,7 @@ blocks: download: 2223 datasetA: '71.16' datasetB: '34.2' - ranking: '1' - - nameen: poolformer_m36 + ranking: '484' - nameen: poolformer_m36 namezh: poolformer_m36 paper: text: 'https://huggingface.co/docs/timm/index' @@ -4880,8 +4396,7 @@ blocks: download: 5927 datasetA: '45.58' datasetB: '34.19' - ranking: '581' - + ranking: '485' - nameen: resnet34 namezh: resnet34 paper: @@ -4890,8 +4405,7 @@ blocks: download: 1845 datasetA: '38.9' datasetB: '34.18' - ranking: '699' - + ranking: '486' - nameen: resnetv2_152x4_bit namezh: resnetv2_152x4_bit paper: @@ -4900,8 +4414,7 @@ blocks: download: 7444 datasetA: '35.84' datasetB: '34.17' - ranking: '760' - + ranking: '487' - nameen: swinv2_cr_small_ns_256 namezh: swinv2_cr_small_ns_256 paper: @@ -4910,8 +4423,7 @@ blocks: download: 4671 datasetA: '31.9' datasetB: '34.13' - ranking: '852' - + ranking: '488' - nameen: dm_nfnet_f4 namezh: dm_nfnet_f4 paper: @@ -4920,8 +4432,7 @@ blocks: download: 2721 datasetA: '62.93' datasetB: '34.02' - ranking: '178' - + ranking: '489' - nameen: ghostnetv2_160 namezh: ghostnetv2_160 paper: @@ -4930,8 +4441,7 @@ blocks: download: 4326 datasetA: '55.07' datasetB: '34.01' - ranking: '347' - + ranking: '490' - nameen: resnet34d namezh: resnet34d paper: @@ -4940,8 +4450,7 @@ blocks: download: 5889 datasetA: '38.88' datasetB: '34.0' - ranking: '700' - + ranking: '491' - nameen: focalnet_base_srf namezh: focalnet_base_srf paper: @@ -4950,8 +4459,7 @@ blocks: download: 2262 datasetA: '56.64' datasetB: '33.94' - ranking: '318' - + ranking: '492' - nameen: dla60_res2next namezh: dla60_res2next paper: @@ -4960,8 +4468,7 @@ blocks: download: 7334 datasetA: '63.46' datasetB: '33.74' - ranking: '167' - + ranking: '493' - nameen: regnetx_004_tv namezh: regnetx_004_tv paper: @@ -4970,8 +4477,7 @@ blocks: download: 1379 datasetA: '44.86' datasetB: '33.74' - ranking: '602' - + ranking: '494' - nameen: seresnext26ts namezh: seresnext26ts paper: @@ -4980,8 +4486,7 @@ blocks: download: 3416 datasetA: '33.85' datasetB: '33.69' - ranking: '812' - + ranking: '495' - nameen: vit_base_r50_s16_224 namezh: vit_base_r50_s16_224 paper: @@ -4990,8 +4495,7 @@ blocks: download: 8407 datasetA: '26.75' datasetB: '33.6' - ranking: '967' - + ranking: '496' - nameen: vit_so150m_patch16_reg4_map_256 namezh: vit_so150m_patch16_reg4_map_256 paper: @@ -5000,8 +4504,7 @@ blocks: download: 9738 datasetA: '23.33' datasetB: '33.56' - ranking: '1048' - + ranking: '497' - nameen: deit3_base_patch16_384 namezh: deit3_base_patch16_384 paper: @@ -5010,8 +4513,7 @@ blocks: download: 1463 datasetA: '64.67' datasetB: '33.53' - ranking: '141' - + ranking: '498' - nameen: efficientnet_el_pruned namezh: efficientnet_el_pruned paper: @@ -5020,8 +4522,7 @@ blocks: download: 8512 datasetA: '60.13' datasetB: '33.5' - ranking: '242' - + ranking: '499' - nameen: resnetv2_50d_gn namezh: resnetv2_50d_gn paper: @@ -5030,8 +4531,7 @@ blocks: download: 2707 datasetA: '36.33' datasetB: '33.49' - ranking: '749' - + ranking: '500' - nameen: convit_base namezh: convit_base paper: @@ -5040,8 +4540,7 @@ blocks: download: 2506 datasetA: '68.42' datasetB: '33.46' - ranking: '70' - + ranking: '501' - nameen: regnetv_040 namezh: regnetv_040 paper: @@ -5050,8 +4549,7 @@ blocks: download: 5369 datasetA: '44.99' datasetB: '33.45' - ranking: '598' - + ranking: '502' - nameen: mnasnet_small namezh: mnasnet_small paper: @@ -5060,8 +4558,7 @@ blocks: download: 9985 datasetA: '49.29' datasetB: '33.39' - ranking: '485' - + ranking: '503' - nameen: mobilenet_edgetpu_v2_xs namezh: mobilenet_edgetpu_v2_xs paper: @@ -5070,8 +4567,7 @@ blocks: download: 6091 datasetA: '48.84' datasetB: '33.39' - ranking: '492' - + ranking: '504' - nameen: resnetv2_101d namezh: resnetv2_101d paper: @@ -5080,8 +4576,7 @@ blocks: download: 1710 datasetA: '36.14' datasetB: '33.39' - ranking: '754' - + ranking: '505' - nameen: selecsls42b namezh: selecsls42b paper: @@ -5090,8 +4585,7 @@ blocks: download: 5226 datasetA: '34.78' datasetB: '33.26' - ranking: '787' - + ranking: '506' - nameen: repghostnet_111 namezh: repghostnet_111 paper: @@ -5100,8 +4594,7 @@ blocks: download: 9977 datasetA: '42.18' datasetB: '33.21' - ranking: '646' - + ranking: '507' - nameen: pit_s_224 namezh: pit_s_224 paper: @@ -5110,8 +4603,7 @@ blocks: download: 2428 datasetA: '45.78' datasetB: '33.18' - ranking: '574' - + ranking: '508' - nameen: tf_mixnet_m namezh: tf_mixnet_m paper: @@ -5120,8 +4612,7 @@ blocks: download: 8371 datasetA: '30.18' datasetB: '33.07' - ranking: '893' - + ranking: '509' - nameen: mnasnet_100 namezh: mnasnet_100 paper: @@ -5130,8 +4621,7 @@ blocks: download: 3833 datasetA: '49.47' datasetB: '33.06' - ranking: '483' - + ranking: '510' - nameen: volo_d1_224 namezh: volo_d1_224 paper: @@ -5140,8 +4630,7 @@ blocks: download: 2131 datasetA: '22.12' datasetB: '33.05' - ranking: '1076' - + ranking: '511' - nameen: resnet50d namezh: resnet50d paper: @@ -5150,8 +4639,7 @@ blocks: download: 7264 datasetA: '38.22' datasetB: '33.03' - ranking: '707' - + ranking: '512' - nameen: crossvit_15_240 namezh: crossvit_15_240 paper: @@ -5160,8 +4648,7 @@ blocks: download: 3104 datasetA: '67.05' datasetB: '33.02' - ranking: '103' - + ranking: '513' - nameen: dla102 namezh: dla102 paper: @@ -5170,8 +4657,7 @@ blocks: download: 9459 datasetA: '63.37' datasetB: '32.98' - ranking: '170' - + ranking: '514' - nameen: beit_large_patch16_224 namezh: beit_large_patch16_224 paper: @@ -5180,8 +4666,7 @@ blocks: download: 3147 datasetA: '70.66' datasetB: '32.97' - ranking: '15' - + ranking: '515' - nameen: vit_medium_patch16_clip_224 namezh: vit_medium_patch16_clip_224 paper: @@ -5190,8 +4675,7 @@ blocks: download: 2060 datasetA: '24.95' datasetB: '32.95' - ranking: '1012' - + ranking: '516' - nameen: deit_base_distilled_patch16_224 namezh: deit_base_distilled_patch16_224 paper: @@ -5200,8 +4684,7 @@ blocks: download: 1498 datasetA: '64.34' datasetB: '32.93' - ranking: '148' - + ranking: '517' - nameen: dpn48b namezh: dpn48b paper: @@ -5210,8 +4693,7 @@ blocks: download: 4008 datasetA: '62.83' datasetB: '32.93' - ranking: '181' - + ranking: '518' - nameen: resnetaa50d namezh: resnetaa50d paper: @@ -5220,8 +4702,7 @@ blocks: download: 2638 datasetA: '37.33' datasetB: '32.89' - ranking: '732' - + ranking: '519' - nameen: davit_giant namezh: davit_giant paper: @@ -5230,8 +4711,7 @@ blocks: download: 5905 datasetA: '64.95' datasetB: '32.87' - ranking: '135' - + ranking: '520' - nameen: swinv2_cr_tiny_384 namezh: swinv2_cr_tiny_384 paper: @@ -5240,8 +4720,7 @@ blocks: download: 1959 datasetA: '31.85' datasetB: '32.76' - ranking: '854' - + ranking: '521' - nameen: mobileone_s4 namezh: mobileone_s4 paper: @@ -5250,8 +4729,7 @@ blocks: download: 4458 datasetA: '47.84' datasetB: '32.73' - ranking: '519' - + ranking: '522' - nameen: vovnet39a namezh: vovnet39a paper: @@ -5260,8 +4738,7 @@ blocks: download: 6537 datasetA: '21.53' datasetB: '32.71' - ranking: '1087' - + ranking: '523' - nameen: levit_512 namezh: levit_512 paper: @@ -5270,8 +4747,7 @@ blocks: download: 6435 datasetA: '51.91' datasetB: '32.66' - ranking: '423' - + ranking: '524' - nameen: nf_regnet_b1 namezh: nf_regnet_b1 paper: @@ -5280,8 +4756,7 @@ blocks: download: 6201 datasetA: '46.77' datasetB: '32.62' - ranking: '552' - + ranking: '525' - nameen: res2next50 namezh: res2next50 paper: @@ -5290,8 +4765,7 @@ blocks: download: 7209 datasetA: '40.23' datasetB: '32.62' - ranking: '677' - + ranking: '526' - nameen: coat_small namezh: coat_small paper: @@ -5300,8 +4774,7 @@ blocks: download: 5532 datasetA: '69.44' datasetB: '32.56' - ranking: '42' - + ranking: '527' - nameen: ese_vovnet99b namezh: ese_vovnet99b paper: @@ -5310,8 +4783,7 @@ blocks: download: 8378 datasetA: '58.19' datasetB: '32.56' - ranking: '281' - + ranking: '528' - nameen: nfnet_f4 namezh: nfnet_f4 paper: @@ -5320,8 +4792,7 @@ blocks: download: 5123 datasetA: '46.06' datasetB: '32.53' - ranking: '567' - + ranking: '529' - nameen: eva02_tiny_patch14_224 namezh: eva02_tiny_patch14_224 paper: @@ -5330,8 +4801,7 @@ blocks: download: 5244 datasetA: '57.61' datasetB: '32.52' - ranking: '292' - + ranking: '530' - nameen: maxvit_tiny_tf_384 namezh: maxvit_tiny_tf_384 paper: @@ -5340,8 +4810,7 @@ blocks: download: 6239 datasetA: '50.38' datasetB: '32.5' - ranking: '458' - + ranking: '531' - nameen: mobileone_s0 namezh: mobileone_s0 paper: @@ -5350,8 +4819,7 @@ blocks: download: 5623 datasetA: '47.9' datasetB: '32.5' - ranking: '515' - + ranking: '532' - nameen: nest_small_jx namezh: nest_small_jx paper: @@ -5360,8 +4828,7 @@ blocks: download: 4293 datasetA: '47.08' datasetB: '32.5' - ranking: '542' - + ranking: '533' - nameen: hrnet_w18_small namezh: hrnet_w18_small paper: @@ -5370,8 +4837,7 @@ blocks: download: 1976 datasetA: '54.09' datasetB: '32.49' - ranking: '381' - + ranking: '534' - nameen: efficientvit_l3 namezh: efficientvit_l3 paper: @@ -5380,8 +4846,7 @@ blocks: download: 7262 datasetA: '58.82' datasetB: '32.48' - ranking: '268' - + ranking: '535' - nameen: edgenext_xx_small namezh: edgenext_xx_small paper: @@ -5390,8 +4855,7 @@ blocks: download: 4899 datasetA: '61.43' datasetB: '32.46' - ranking: '212' - + ranking: '536' - nameen: efficientnetv2_rw_m namezh: efficientnetv2_rw_m paper: @@ -5400,8 +4864,7 @@ blocks: download: 8450 datasetA: '59.18' datasetB: '32.43' - ranking: '257' - + ranking: '537' - nameen: swinv2_large_window12to24_192to384 namezh: swinv2_large_window12to24_192to384 paper: @@ -5410,8 +4873,7 @@ blocks: download: 7777 datasetA: '31.72' datasetB: '32.4' - ranking: '858' - + ranking: '538' - nameen: efficientformerv2_s0 namezh: efficientformerv2_s0 paper: @@ -5420,8 +4882,7 @@ blocks: download: 4840 datasetA: '61.3' datasetB: '32.38' - ranking: '217' - + ranking: '539' - nameen: dpn68b namezh: dpn68b paper: @@ -5430,8 +4891,7 @@ blocks: download: 2375 datasetA: '62.68' datasetB: '32.35' - ranking: '183' - + ranking: '540' - nameen: eca_nfnet_l0 namezh: eca_nfnet_l0 paper: @@ -5440,8 +4900,7 @@ blocks: download: 2399 datasetA: '62.36' datasetB: '32.34' - ranking: '190' - + ranking: '541' - nameen: visformer_small namezh: visformer_small paper: @@ -5450,8 +4909,7 @@ blocks: download: 6586 datasetA: '28.34' datasetB: '32.26' - ranking: '931' - + ranking: '542' - nameen: tf_mobilenetv3_small_minimal_100 namezh: tf_mobilenetv3_small_minimal_100 paper: @@ -5460,8 +4918,7 @@ blocks: download: 7491 datasetA: '29.99' datasetB: '32.18' - ranking: '900' - + ranking: '543' - nameen: maxvit_rmlp_pico_rw_256 namezh: maxvit_rmlp_pico_rw_256 paper: @@ -5470,8 +4927,7 @@ blocks: download: 2735 datasetA: '51.1' datasetB: '32.17' - ranking: '447' - + ranking: '544' - nameen: flexivit_small namezh: flexivit_small paper: @@ -5480,8 +4936,7 @@ blocks: download: 5189 datasetA: '56.76' datasetB: '32.16' - ranking: '316' - + ranking: '545' - nameen: lcnet_075 namezh: lcnet_075 paper: @@ -5490,8 +4945,7 @@ blocks: download: 5841 datasetA: '52.8' datasetB: '32.11' - ranking: '403' - + ranking: '546' - nameen: dpn92 namezh: dpn92 paper: @@ -5500,8 +4954,7 @@ blocks: download: 7103 datasetA: '62.58' datasetB: '32.1' - ranking: '184' - + ranking: '547' - nameen: vit_huge_patch14_xp_224 namezh: vit_huge_patch14_xp_224 paper: @@ -5510,8 +4963,7 @@ blocks: download: 6348 datasetA: '25.56' datasetB: '32.03' - ranking: '990' - + ranking: '548' - nameen: mobilenetv2_100 namezh: mobilenetv2_100 paper: @@ -5520,8 +4972,7 @@ blocks: download: 5681 datasetA: '48.7' datasetB: '31.97' - ranking: '496' - + ranking: '549' - nameen: cs3darknet_x namezh: cs3darknet_x paper: @@ -5530,8 +4981,7 @@ blocks: download: 3321 datasetA: '65.88' datasetB: '31.92' - ranking: '119' - + ranking: '550' - nameen: tf_efficientnet_b6 namezh: tf_efficientnet_b6 paper: @@ -5540,8 +4990,7 @@ blocks: download: 9462 datasetA: '31.22' datasetB: '31.89' - ranking: '869' - + ranking: '551' - nameen: ConvNeXt-L namezh: ConvNeXt-L paper: @@ -5552,8 +5001,7 @@ blocks: download: 4450 datasetA: '71.09' datasetB: '31.85' - ranking: '3' - - nameen: coatnet_1_rw_224 + ranking: '552' - nameen: coatnet_1_rw_224 namezh: coatnet_1_rw_224 paper: text: 'https://huggingface.co/docs/timm/index' @@ -5561,8 +5009,7 @@ blocks: download: 4700 datasetA: '69.14' datasetB: '31.82' - ranking: '47' - + ranking: '553' - nameen: dla102x2 namezh: dla102x2 paper: @@ -5571,8 +5018,7 @@ blocks: download: 4995 datasetA: '63.2' datasetB: '31.79' - ranking: '172' - + ranking: '554' - nameen: ese_vovnet19b_dw namezh: ese_vovnet19b_dw paper: @@ -5581,8 +5027,7 @@ blocks: download: 6265 datasetA: '58.43' datasetB: '31.74' - ranking: '275' - + ranking: '555' - nameen: RaWideResNet-101-2 namezh: RaWideResNet-101-2 paper: @@ -5593,8 +5038,7 @@ blocks: download: 2641 datasetA: '70.82' datasetB: '31.72' - ranking: '10' - - nameen: halonet_h1 + ranking: '556' - nameen: halonet_h1 namezh: halonet_h1 paper: text: 'https://huggingface.co/docs/timm/index' @@ -5602,8 +5046,7 @@ blocks: download: 9407 datasetA: '54.81' datasetB: '31.71' - ranking: '356' - + ranking: '557' - nameen: regnety_120 namezh: regnety_120 paper: @@ -5612,8 +5055,7 @@ blocks: download: 9546 datasetA: '43.38' datasetB: '31.69' - ranking: '625' - + ranking: '558' - nameen: vit_base_patch16_384 namezh: vit_base_patch16_384 paper: @@ -5622,8 +5064,7 @@ blocks: download: 9484 datasetA: '28.09' datasetB: '31.64' - ranking: '940' - + ranking: '559' - nameen: darknetaa53 namezh: darknetaa53 paper: @@ -5632,8 +5073,7 @@ blocks: download: 1931 datasetA: '65.15' datasetB: '31.59' - ranking: '133' - + ranking: '560' - nameen: seresnext101_64x4d namezh: seresnext101_64x4d paper: @@ -5642,8 +5082,7 @@ blocks: download: 1633 datasetA: '33.77' datasetB: '31.49' - ranking: '816' - + ranking: '561' - nameen: xcit_medium_24_p8_224 namezh: xcit_medium_24_p8_224 paper: @@ -5652,8 +5091,7 @@ blocks: download: 8458 datasetA: '20.99' datasetB: '31.45' - ranking: '1100' - + ranking: '562' - nameen: eva_giant_patch14_560 namezh: eva_giant_patch14_560 paper: @@ -5662,8 +5100,7 @@ blocks: download: 9624 datasetA: '57.45' datasetB: '31.44' - ranking: '296' - + ranking: '563' - nameen: pvt_v2_b0 namezh: pvt_v2_b0 paper: @@ -5672,8 +5109,7 @@ blocks: download: 9067 datasetA: '45.2' datasetB: '31.44' - ranking: '591' - + ranking: '564' - nameen: regnety_008 namezh: regnety_008 paper: @@ -5682,8 +5118,7 @@ blocks: download: 4274 datasetA: '43.78' datasetB: '31.41' - ranking: '616' - + ranking: '565' - nameen: resnet50x4_clip_gap namezh: resnet50x4_clip_gap paper: @@ -5692,8 +5127,7 @@ blocks: download: 9329 datasetA: '38.16' datasetB: '31.36' - ranking: '711' - + ranking: '566' - nameen: vit_betwixt_patch16_reg4_gap_256 namezh: vit_betwixt_patch16_reg4_gap_256 paper: @@ -5702,8 +5136,7 @@ blocks: download: 1761 datasetA: '26.35' datasetB: '31.31' - ranking: '973' - + ranking: '567' - nameen: eva02_small_patch14_336 namezh: eva02_small_patch14_336 paper: @@ -5712,8 +5145,7 @@ blocks: download: 3951 datasetA: '57.61' datasetB: '31.24' - ranking: '291' - + ranking: '568' - nameen: resnet101s namezh: resnet101s paper: @@ -5722,8 +5154,7 @@ blocks: download: 7855 datasetA: '37.67' datasetB: '31.22' - ranking: '723' - + ranking: '569' - nameen: convnext_xlarge namezh: convnext_xlarge paper: @@ -5732,8 +5163,7 @@ blocks: download: 9335 datasetA: '67.52' datasetB: '31.21' - ranking: '90' - + ranking: '570' - nameen: pvt_v2_b5 namezh: pvt_v2_b5 paper: @@ -5742,8 +5172,7 @@ blocks: download: 7344 datasetA: '45.0' datasetB: '31.2' - ranking: '597' - + ranking: '571' - nameen: coatnet_rmlp_3_rw_224 namezh: coatnet_rmlp_3_rw_224 paper: @@ -5752,8 +5181,7 @@ blocks: download: 3812 datasetA: '68.71' datasetB: '31.15' - ranking: '63' - + ranking: '572' - nameen: ghostnet_050 namezh: ghostnet_050 paper: @@ -5762,8 +5190,7 @@ blocks: download: 4328 datasetA: '55.27' datasetB: '31.14' - ranking: '342' - + ranking: '573' - nameen: cait_m36_384 namezh: cait_m36_384 paper: @@ -5772,8 +5199,7 @@ blocks: download: 3647 datasetA: '70.16' datasetB: '31.13' - ranking: '26' - + ranking: '574' - nameen: hrnet_w64 namezh: hrnet_w64 paper: @@ -5782,8 +5208,7 @@ blocks: download: 8471 datasetA: '53.39' datasetB: '31.04' - ranking: '390' - + ranking: '575' - nameen: tf_efficientnet_b5 namezh: tf_efficientnet_b5 paper: @@ -5792,8 +5217,7 @@ blocks: download: 2372 datasetA: '31.26' datasetB: '31.03' - ranking: '868' - + ranking: '576' - nameen: efficientformer_l7 namezh: efficientformer_l7 paper: @@ -5802,8 +5226,7 @@ blocks: download: 2949 datasetA: '61.34' datasetB: '30.87' - ranking: '215' - + ranking: '577' - nameen: efficientnet_lite4 namezh: efficientnet_lite4 paper: @@ -5812,8 +5235,7 @@ blocks: download: 3438 datasetA: '59.45' datasetB: '30.79' - ranking: '252' - + ranking: '578' - nameen: resnet50s namezh: resnet50s paper: @@ -5822,8 +5244,7 @@ blocks: download: 3840 datasetA: '38.18' datasetB: '30.71' - ranking: '708' - + ranking: '579' - nameen: nf_ecaresnet101 namezh: nf_ecaresnet101 paper: @@ -5832,8 +5253,7 @@ blocks: download: 5629 datasetA: '46.78' datasetB: '30.7' - ranking: '550' - + ranking: '580' - nameen: ese_vovnet39b_evos namezh: ese_vovnet39b_evos paper: @@ -5842,8 +5262,7 @@ blocks: download: 1008 datasetA: '58.31' datasetB: '30.69' - ranking: '279' - + ranking: '581' - nameen: mnasnet_075 namezh: mnasnet_075 paper: @@ -5852,8 +5271,7 @@ blocks: download: 2849 datasetA: '49.48' datasetB: '30.65' - ranking: '482' - + ranking: '582' - nameen: sequencer2d_l namezh: sequencer2d_l paper: @@ -5862,8 +5280,7 @@ blocks: download: 9646 datasetA: '34.39' datasetB: '30.62' - ranking: '796' - + ranking: '583' - nameen: maxvit_small_tf_384 namezh: maxvit_small_tf_384 paper: @@ -5872,8 +5289,7 @@ blocks: download: 2148 datasetA: '50.77' datasetB: '30.6' - ranking: '452' - + ranking: '584' - nameen: convformer_s36 namezh: convformer_s36 paper: @@ -5882,8 +5298,7 @@ blocks: download: 5314 datasetA: '68.43' datasetB: '30.55' - ranking: '69' - + ranking: '585' - nameen: sedarknet21 namezh: sedarknet21 paper: @@ -5892,8 +5307,7 @@ blocks: download: 4180 datasetA: '34.97' datasetB: '30.55' - ranking: '784' - + ranking: '586' - nameen: tinynet_a namezh: tinynet_a paper: @@ -5902,8 +5316,7 @@ blocks: download: 6739 datasetA: '29.65' datasetB: '30.48' - ranking: '906' - + ranking: '587' - nameen: vit_giant_patch14_dinov2 namezh: vit_giant_patch14_dinov2 paper: @@ -5912,8 +5325,7 @@ blocks: download: 7502 datasetA: '26.03' datasetB: '30.46' - ranking: '978' - + ranking: '588' - nameen: xcit_tiny_12_p8_224 namezh: xcit_tiny_12_p8_224 paper: @@ -5922,8 +5334,7 @@ blocks: download: 9813 datasetA: '20.34' datasetB: '30.28' - ranking: '1116' - + ranking: '589' - nameen: skresnet34 namezh: skresnet34 paper: @@ -5932,8 +5343,7 @@ blocks: download: 8172 datasetA: '33.66' datasetB: '30.27' - ranking: '821' - + ranking: '590' - nameen: maxvit_large_tf_512 namezh: maxvit_large_tf_512 paper: @@ -5942,8 +5352,7 @@ blocks: download: 3635 datasetA: '51.23' datasetB: '30.24' - ranking: '441' - + ranking: '591' - nameen: focalnet_small_srf namezh: focalnet_small_srf paper: @@ -5952,8 +5361,7 @@ blocks: download: 4818 datasetA: '56.5' datasetB: '30.22' - ranking: '324' - + ranking: '592' - nameen: swinv2_base_window12to24_192to384 namezh: swinv2_base_window12to24_192to384 paper: @@ -5962,8 +5370,7 @@ blocks: download: 1653 datasetA: '32.64' datasetB: '30.22' - ranking: '838' - + ranking: '593' - nameen: vit_little_patch16_reg1_gap_256 namezh: vit_little_patch16_reg1_gap_256 paper: @@ -5972,8 +5379,7 @@ blocks: download: 8910 datasetA: '24.98' datasetB: '30.21' - ranking: '1010' - + ranking: '594' - nameen: crossvit_18_dagger_240 namezh: crossvit_18_dagger_240 paper: @@ -5982,8 +5388,7 @@ blocks: download: 5105 datasetA: '66.81' datasetB: '30.17' - ranking: '107' - + ranking: '595' - nameen: pvt_v2_b3 namezh: pvt_v2_b3 paper: @@ -5992,8 +5397,7 @@ blocks: download: 7484 datasetA: '45.1' datasetB: '30.14' - ranking: '595' - + ranking: '596' - nameen: cspdarknet53 namezh: cspdarknet53 paper: @@ -6002,8 +5406,7 @@ blocks: download: 1096 datasetA: '65.58' datasetB: '30.03' - ranking: '125' - + ranking: '597' - nameen: resnetv2_101x1_bit namezh: resnetv2_101x1_bit paper: @@ -6012,8 +5415,7 @@ blocks: download: 1167 datasetA: '36.13' datasetB: '30.01' - ranking: '755' - + ranking: '598' - nameen: cait_xxs36_224 namezh: cait_xxs36_224 paper: @@ -6022,8 +5424,7 @@ blocks: download: 5564 datasetA: '69.83' datasetB: '29.99' - ranking: '34' - + ranking: '599' - nameen: mobilenetv3_small_100 namezh: mobilenetv3_small_100 paper: @@ -6032,8 +5433,7 @@ blocks: download: 1782 datasetA: '48.17' datasetB: '29.96' - ranking: '505' - + ranking: '600' - nameen: eca_resnet33ts namezh: eca_resnet33ts paper: @@ -6042,8 +5442,7 @@ blocks: download: 7645 datasetA: '62.24' datasetB: '29.86' - ranking: '194' - + ranking: '601' - nameen: vit_betwixt_patch32_clip_224 namezh: vit_betwixt_patch32_clip_224 paper: @@ -6052,8 +5451,7 @@ blocks: download: 7530 datasetA: '26.26' datasetB: '29.83' - ranking: '975' - + ranking: '602' - nameen: eca_botnext26ts_256 namezh: eca_botnext26ts_256 paper: @@ -6062,8 +5460,7 @@ blocks: download: 9013 datasetA: '62.38' datasetB: '29.81' - ranking: '188' - + ranking: '603' - nameen: nfnet_f2 namezh: nfnet_f2 paper: @@ -6072,8 +5469,7 @@ blocks: download: 6071 datasetA: '46.12' datasetB: '29.72' - ranking: '565' - + ranking: '604' - nameen: resnest50d namezh: resnest50d paper: @@ -6082,8 +5478,7 @@ blocks: download: 5849 datasetA: '39.64' datasetB: '29.71' - ranking: '684' - + ranking: '605' - nameen: deit3_huge_patch14_224 namezh: deit3_huge_patch14_224 paper: @@ -6092,8 +5487,7 @@ blocks: download: 8284 datasetA: '64.63' datasetB: '29.68' - ranking: '142' - + ranking: '606' - nameen: efficientnet_lite0 namezh: efficientnet_lite0 paper: @@ -6102,8 +5496,7 @@ blocks: download: 2611 datasetA: '59.78' datasetB: '29.63' - ranking: '248' - + ranking: '607' - nameen: vovnet57a namezh: vovnet57a paper: @@ -6112,8 +5505,7 @@ blocks: download: 1406 datasetA: '21.53' datasetB: '29.62' - ranking: '1088' - + ranking: '608' - nameen: mobilevitv2_050 namezh: mobilevitv2_050 paper: @@ -6122,8 +5514,7 @@ blocks: download: 8117 datasetA: '47.71' datasetB: '29.6' - ranking: '523' - + ranking: '609' - nameen: vitamin_large_384 namezh: vitamin_large_384 paper: @@ -6132,8 +5523,7 @@ blocks: download: 8384 datasetA: '22.37' datasetB: '29.55' - ranking: '1071' - + ranking: '610' - nameen: mobilevit_xxs namezh: mobilevit_xxs paper: @@ -6142,8 +5532,7 @@ blocks: download: 3545 datasetA: '47.76' datasetB: '29.54' - ranking: '522' - + ranking: '611' - nameen: volo_d2_384 namezh: volo_d2_384 paper: @@ -6152,8 +5541,7 @@ blocks: download: 7033 datasetA: '21.86' datasetB: '29.51' - ranking: '1079' - + ranking: '612' - nameen: fbnetv3_g namezh: fbnetv3_g paper: @@ -6162,8 +5550,7 @@ blocks: download: 1332 datasetA: '56.83' datasetB: '29.5' - ranking: '313' - + ranking: '613' - nameen: swinv2_cr_large_384 namezh: swinv2_cr_large_384 paper: @@ -6172,8 +5559,7 @@ blocks: download: 8880 datasetA: '32.16' datasetB: '29.44' - ranking: '848' - + ranking: '614' - nameen: xcit_tiny_24_p8_224 namezh: xcit_tiny_24_p8_224 paper: @@ -6182,8 +5568,7 @@ blocks: download: 1251 datasetA: '20.32' datasetB: '29.44' - ranking: '1120' - + ranking: '615' - nameen: efficientnet_b3_gn namezh: efficientnet_b3_gn paper: @@ -6192,8 +5577,7 @@ blocks: download: 8997 datasetA: '60.67' datasetB: '29.35' - ranking: '230' - + ranking: '616' - nameen: semnasnet_100 namezh: semnasnet_100 paper: @@ -6202,8 +5586,7 @@ blocks: download: 6204 datasetA: '34.44' datasetB: '29.31' - ranking: '793' - + ranking: '617' - nameen: res2net50_14w_8s namezh: res2net50_14w_8s paper: @@ -6212,8 +5595,7 @@ blocks: download: 8396 datasetA: '40.73' datasetB: '29.17' - ranking: '669' - + ranking: '618' - nameen: ghostnetv2_100 namezh: ghostnetv2_100 paper: @@ -6222,8 +5604,7 @@ blocks: download: 5851 datasetA: '55.16' datasetB: '29.13' - ranking: '345' - + ranking: '619' - nameen: vit_base_r26_s32_224 namezh: vit_base_r26_s32_224 paper: @@ -6232,8 +5613,7 @@ blocks: download: 4433 datasetA: '26.79' datasetB: '29.1' - ranking: '966' - + ranking: '620' - nameen: vit_base_patch16_siglip_gap_256 namezh: vit_base_patch16_siglip_gap_256 paper: @@ -6242,8 +5622,7 @@ blocks: download: 2779 datasetA: '27.47' datasetB: '29.09' - ranking: '954' - + ranking: '621' - nameen: focalnet_large_fl3 namezh: focalnet_large_fl3 paper: @@ -6252,8 +5631,7 @@ blocks: download: 9428 datasetA: '56.57' datasetB: '29.07' - ranking: '321' - + ranking: '622' - nameen: repghostnet_058 namezh: repghostnet_058 paper: @@ -6262,8 +5640,7 @@ blocks: download: 4067 datasetA: '42.44' datasetB: '29.04' - ranking: '643' - + ranking: '623' - nameen: darknet53 namezh: darknet53 paper: @@ -6272,8 +5649,7 @@ blocks: download: 4074 datasetA: '65.34' datasetB: '29.03' - ranking: '132' - + ranking: '624' - nameen: convnext_nano namezh: convnext_nano paper: @@ -6282,8 +5658,7 @@ blocks: download: 2984 datasetA: '67.78' datasetB: '28.94' - ranking: '83' - + ranking: '625' - nameen: maxvit_small_tf_224 namezh: maxvit_small_tf_224 paper: @@ -6292,8 +5667,7 @@ blocks: download: 6754 datasetA: '50.9' datasetB: '28.94' - ranking: '451' - + ranking: '626' - nameen: efficientnet_es namezh: efficientnet_es paper: @@ -6302,8 +5676,7 @@ blocks: download: 5520 datasetA: '59.96' datasetB: '28.84' - ranking: '244' - + ranking: '627' - nameen: resnet50 namezh: resnet50 paper: @@ -6312,8 +5685,7 @@ blocks: download: 7557 datasetA: '38.83' datasetB: '28.84' - ranking: '701' - + ranking: '628' - nameen: tf_efficientnetv2_l namezh: tf_efficientnetv2_l paper: @@ -6322,8 +5694,7 @@ blocks: download: 6309 datasetA: '30.49' datasetB: '28.83' - ranking: '888' - + ranking: '629' - nameen: davit_small namezh: davit_small paper: @@ -6332,8 +5703,7 @@ blocks: download: 6753 datasetA: '64.72' datasetB: '28.81' - ranking: '138' - + ranking: '630' - nameen: botnet26t_256 namezh: botnet26t_256 paper: @@ -6342,8 +5712,7 @@ blocks: download: 7753 datasetA: '70.5' datasetB: '28.74' - ranking: '20' - + ranking: '631' - nameen: mobilenetv2_120d namezh: mobilenetv2_120d paper: @@ -6352,8 +5721,7 @@ blocks: download: 4813 datasetA: '48.61' datasetB: '28.74' - ranking: '498' - + ranking: '632' - nameen: repvit_m2_3 namezh: repvit_m2_3 paper: @@ -6362,8 +5730,7 @@ blocks: download: 7333 datasetA: '40.87' datasetB: '28.74' - ranking: '667' - + ranking: '633' - nameen: vit_huge_patch14_clip_336 namezh: vit_huge_patch14_clip_336 paper: @@ -6372,8 +5739,7 @@ blocks: download: 9174 datasetA: '25.67' datasetB: '28.71' - ranking: '985' - + ranking: '634' - nameen: flexivit_base namezh: flexivit_base paper: @@ -6382,8 +5748,7 @@ blocks: download: 2049 datasetA: '56.78' datasetB: '28.7' - ranking: '314' - + ranking: '635' - nameen: vit_large_patch14_clip_336 namezh: vit_large_patch14_clip_336 paper: @@ -6392,8 +5757,7 @@ blocks: download: 6371 datasetA: '25.45' datasetB: '28.7' - ranking: '994' - + ranking: '636' - nameen: pit_xs_224 namezh: pit_xs_224 paper: @@ -6402,8 +5766,7 @@ blocks: download: 1396 datasetA: '45.68' datasetB: '28.69' - ranking: '578' - + ranking: '637' - nameen: vit_large_patch14_xp_224 namezh: vit_large_patch14_xp_224 paper: @@ -6412,8 +5775,7 @@ blocks: download: 1532 datasetA: '25.37' datasetB: '28.67' - ranking: '999' - + ranking: '638' - nameen: hardcorenas_f namezh: hardcorenas_f paper: @@ -6422,8 +5784,7 @@ blocks: download: 3974 datasetA: '54.6' datasetB: '28.66' - ranking: '363' - + ranking: '639' - nameen: vit_little_patch16_reg4_gap_256 namezh: vit_little_patch16_reg4_gap_256 paper: @@ -6432,8 +5793,7 @@ blocks: download: 6811 datasetA: '24.95' datasetB: '28.61' - ranking: '1011' - + ranking: '640' - nameen: convnext_femto_ols namezh: convnext_femto_ols paper: @@ -6442,8 +5802,7 @@ blocks: download: 4911 datasetA: '67.8' datasetB: '28.55' - ranking: '80' - + ranking: '641' - nameen: efficientnet_lite1 namezh: efficientnet_lite1 paper: @@ -6452,8 +5811,7 @@ blocks: download: 4244 datasetA: '59.74' datasetB: '28.53' - ranking: '249' - + ranking: '642' - nameen: resnet26t namezh: resnet26t paper: @@ -6462,8 +5820,7 @@ blocks: download: 2724 datasetA: '39.08' datasetB: '28.53' - ranking: '696' - + ranking: '643' - nameen: cs3sedarknet_x namezh: cs3sedarknet_x paper: @@ -6472,8 +5829,7 @@ blocks: download: 4649 datasetA: '65.71' datasetB: '28.42' - ranking: '123' - + ranking: '644' - nameen: regnetx_080 namezh: regnetx_080 paper: @@ -6482,8 +5838,7 @@ blocks: download: 9202 datasetA: '44.41' datasetB: '28.39' - ranking: '609' - + ranking: '645' - nameen: convnextv2_huge namezh: convnextv2_huge paper: @@ -6492,8 +5847,7 @@ blocks: download: 6416 datasetA: '67.3' datasetB: '28.36' - ranking: '95' - + ranking: '646' - nameen: cait_s24_384 namezh: cait_s24_384 paper: @@ -6502,8 +5856,7 @@ blocks: download: 4231 datasetA: '69.97' datasetB: '28.35' - ranking: '29' - + ranking: '647' - nameen: resmlp_12_224 namezh: resmlp_12_224 paper: @@ -6512,8 +5865,7 @@ blocks: download: 7146 datasetA: '40.23' datasetB: '28.35' - ranking: '678' - + ranking: '648' - nameen: inception_resnet_v2 namezh: inception_resnet_v2 paper: @@ -6522,8 +5874,7 @@ blocks: download: 2390 datasetA: '53.15' datasetB: '28.3' - ranking: '394' - + ranking: '649' - nameen: xcit_tiny_24_p16_224 namezh: xcit_tiny_24_p16_224 paper: @@ -6532,8 +5883,7 @@ blocks: download: 5795 datasetA: '20.27' datasetB: '28.3' - ranking: '1122' - + ranking: '650' - nameen: coat_lite_tiny namezh: coat_lite_tiny paper: @@ -6542,8 +5892,7 @@ blocks: download: 9254 datasetA: '69.5' datasetB: '28.28' - ranking: '40' - + ranking: '651' - nameen: seresnext26d_32x4d namezh: seresnext26d_32x4d paper: @@ -6552,8 +5901,7 @@ blocks: download: 4911 datasetA: '33.87' datasetB: '28.28' - ranking: '810' - + ranking: '652' - nameen: seresnextaa101d_32x8d namezh: seresnextaa101d_32x8d paper: @@ -6562,8 +5910,7 @@ blocks: download: 4670 datasetA: '33.73' datasetB: '28.27' - ranking: '818' - + ranking: '653' - nameen: convnext_pico_ols namezh: convnext_pico_ols paper: @@ -6572,8 +5919,7 @@ blocks: download: 2924 datasetA: '67.67' datasetB: '28.18' - ranking: '86' - + ranking: '654' - nameen: regnety_032 namezh: regnety_032 paper: @@ -6582,8 +5928,7 @@ blocks: download: 8067 datasetA: '43.71' datasetB: '28.05' - ranking: '619' - + ranking: '655' - nameen: repvit_m1 namezh: repvit_m1 paper: @@ -6592,8 +5937,7 @@ blocks: download: 2809 datasetA: '41.37' datasetB: '28.04' - ranking: '662' - + ranking: '656' - nameen: seresnet152d namezh: seresnet152d paper: @@ -6602,8 +5946,7 @@ blocks: download: 8767 datasetA: '34.04' datasetB: '28.04' - ranking: '806' - + ranking: '657' - nameen: levit_512_s8 namezh: levit_512_s8 paper: @@ -6612,8 +5955,7 @@ blocks: download: 2170 datasetA: '51.83' datasetB: '28.02' - ranking: '424' - + ranking: '658' - nameen: xception71 namezh: xception71 paper: @@ -6622,8 +5964,7 @@ blocks: download: 7876 datasetA: '21.29' datasetB: '27.96' - ranking: '1095' - + ranking: '659' - nameen: vit_giant_patch16_gap_224 namezh: vit_giant_patch16_gap_224 paper: @@ -6632,8 +5973,7 @@ blocks: download: 2563 datasetA: '26.0' datasetB: '27.94' - ranking: '980' - + ranking: '660' - nameen: crossvit_base_240 namezh: crossvit_base_240 paper: @@ -6642,8 +5982,7 @@ blocks: download: 6317 datasetA: '66.53' datasetB: '27.93' - ranking: '109' - + ranking: '661' - nameen: vit_betwixt_patch16_rope_reg4_gap_256 namezh: vit_betwixt_patch16_rope_reg4_gap_256 paper: @@ -6652,8 +5991,7 @@ blocks: download: 8625 datasetA: '26.32' datasetB: '27.89' - ranking: '974' - + ranking: '662' - nameen: nextvit_small namezh: nextvit_small paper: @@ -6662,8 +6000,7 @@ blocks: download: 1221 datasetA: '46.84' datasetB: '27.83' - ranking: '547' - + ranking: '663' - nameen: deit3_base_patch16_224 namezh: deit3_base_patch16_224 paper: @@ -6672,8 +6009,7 @@ blocks: download: 5630 datasetA: '64.69' datasetB: '27.8' - ranking: '140' - + ranking: '664' - nameen: vitamin_xlarge_256 namezh: vitamin_xlarge_256 paper: @@ -6682,8 +6018,7 @@ blocks: download: 7023 datasetA: '22.28' datasetB: '27.79' - ranking: '1073' - + ranking: '665' - nameen: vit_xsmall_patch16_clip_224 namezh: vit_xsmall_patch16_clip_224 paper: @@ -6692,8 +6027,7 @@ blocks: download: 5808 datasetA: '22.76' datasetB: '27.72' - ranking: '1062' - + ranking: '666' - nameen: resnest50d_4s2x40d namezh: resnest50d_4s2x40d paper: @@ -6702,8 +6036,7 @@ blocks: download: 3311 datasetA: '39.57' datasetB: '27.66' - ranking: '686' - + ranking: '667' - nameen: Swin-B namezh: Swin-B paper: @@ -6714,8 +6047,7 @@ blocks: download: 8224 datasetA: '71.01' datasetB: '27.63' - ranking: '5' - - nameen: dm_nfnet_f5 + ranking: '668' - nameen: dm_nfnet_f5 namezh: dm_nfnet_f5 paper: text: 'https://huggingface.co/docs/timm/index' @@ -6723,8 +6055,7 @@ blocks: download: 7023 datasetA: '62.91' datasetB: '27.6' - ranking: '179' - + ranking: '669' - nameen: mobilenetv4_conv_aa_medium namezh: mobilenetv4_conv_aa_medium paper: @@ -6733,8 +6064,7 @@ blocks: download: 2085 datasetA: '48.16' datasetB: '27.6' - ranking: '506' - + ranking: '670' - nameen: vit_base_patch32_clip_256 namezh: vit_base_patch32_clip_256 paper: @@ -6743,8 +6073,7 @@ blocks: download: 3270 datasetA: '26.97' datasetB: '27.58' - ranking: '961' - + ranking: '671' - nameen: regnetx_006 namezh: regnetx_006 paper: @@ -6753,8 +6082,7 @@ blocks: download: 8235 datasetA: '44.78' datasetB: '27.46' - ranking: '603' - + ranking: '672' - nameen: resnet50_gn namezh: resnet50_gn paper: @@ -6763,8 +6091,7 @@ blocks: download: 7014 datasetA: '38.54' datasetB: '27.41' - ranking: '704' - + ranking: '673' - nameen: nfnet_l0 namezh: nfnet_l0 paper: @@ -6773,8 +6100,7 @@ blocks: download: 1998 datasetA: '45.9' datasetB: '27.37' - ranking: '571' - + ranking: '674' - nameen: levit_conv_256 namezh: levit_conv_256 paper: @@ -6783,8 +6109,7 @@ blocks: download: 5063 datasetA: '51.72' datasetB: '27.35' - ranking: '429' - + ranking: '675' - nameen: efficientnet_b2 namezh: efficientnet_b2 paper: @@ -6793,8 +6118,7 @@ blocks: download: 7539 datasetA: '60.96' datasetB: '27.32' - ranking: '226' - + ranking: '676' - nameen: tiny_vit_21m_224 namezh: tiny_vit_21m_224 paper: @@ -6803,8 +6127,7 @@ blocks: download: 1812 datasetA: '29.8' datasetB: '27.28' - ranking: '903' - + ranking: '677' - nameen: convnextv2_atto namezh: convnextv2_atto paper: @@ -6813,8 +6136,7 @@ blocks: download: 1836 datasetA: '67.34' datasetB: '27.23' - ranking: '92' - + ranking: '678' - nameen: vit_large_patch14_clip_quickgelu_224 namezh: vit_large_patch14_clip_quickgelu_224 paper: @@ -6823,8 +6145,7 @@ blocks: download: 9107 datasetA: '25.45' datasetB: '27.22' - ranking: '995' - + ranking: '679' - nameen: vitamin_xlarge_384 namezh: vitamin_xlarge_384 paper: @@ -6833,8 +6154,7 @@ blocks: download: 6624 datasetA: '22.15' datasetB: '27.2' - ranking: '1075' - + ranking: '680' - nameen: tf_mobilenetv3_small_075 namezh: tf_mobilenetv3_small_075 paper: @@ -6843,8 +6163,7 @@ blocks: download: 7258 datasetA: '30.13' datasetB: '27.17' - ranking: '898' - + ranking: '681' - nameen: vit_large_r50_s32_384 namezh: vit_large_r50_s32_384 paper: @@ -6853,8 +6172,7 @@ blocks: download: 7661 datasetA: '24.98' datasetB: '27.1' - ranking: '1009' - + ranking: '682' - nameen: wide_resnet101_2 namezh: wide_resnet101_2 paper: @@ -6863,8 +6181,7 @@ blocks: download: 6838 datasetA: '21.48' datasetB: '27.07' - ranking: '1090' - + ranking: '683' - nameen: mobileone_s3 namezh: mobileone_s3 paper: @@ -6873,8 +6190,7 @@ blocks: download: 1558 datasetA: '47.85' datasetB: '26.97' - ranking: '518' - + ranking: '684' - nameen: senet154 namezh: senet154 paper: @@ -6883,8 +6199,7 @@ blocks: download: 5778 datasetA: '34.42' datasetB: '26.97' - ranking: '795' - + ranking: '685' - nameen: regnety_160 namezh: regnety_160 paper: @@ -6893,8 +6208,7 @@ blocks: download: 1534 datasetA: '43.36' datasetB: '26.96' - ranking: '626' - + ranking: '686' - nameen: res2net50d namezh: res2net50d paper: @@ -6903,8 +6217,7 @@ blocks: download: 5058 datasetA: '40.41' datasetB: '26.89' - ranking: '674' - + ranking: '687' - nameen: davit_large namezh: davit_large paper: @@ -6913,8 +6226,7 @@ blocks: download: 6745 datasetA: '64.77' datasetB: '26.88' - ranking: '137' - + ranking: '688' - nameen: edgenext_small_rw namezh: edgenext_small_rw paper: @@ -6923,8 +6235,7 @@ blocks: download: 4955 datasetA: '61.54' datasetB: '26.87' - ranking: '210' - + ranking: '689' - nameen: selecsls60b namezh: selecsls60b paper: @@ -6933,8 +6244,7 @@ blocks: download: 1455 datasetA: '34.68' datasetB: '26.82' - ranking: '789' - + ranking: '690' - nameen: mvitv2_base namezh: mvitv2_base paper: @@ -6943,8 +6253,7 @@ blocks: download: 6802 datasetA: '47.52' datasetB: '26.78' - ranking: '530' - + ranking: '691' - nameen: vit_base_patch14_dinov2 namezh: vit_base_patch14_dinov2 paper: @@ -6953,8 +6262,7 @@ blocks: download: 9899 datasetA: '28.2' datasetB: '26.62' - ranking: '935' - + ranking: '692' - nameen: maxvit_base_tf_384 namezh: maxvit_base_tf_384 paper: @@ -6963,8 +6271,7 @@ blocks: download: 6508 datasetA: '51.38' datasetB: '26.53' - ranking: '437' - + ranking: '693' - nameen: maxxvitv2_rmlp_base_rw_224 namezh: maxxvitv2_rmlp_base_rw_224 paper: @@ -6973,8 +6280,7 @@ blocks: download: 8362 datasetA: '50.24' datasetB: '26.45' - ranking: '467' - + ranking: '694' - nameen: vit_relpos_base_patch16_plus_240 namezh: vit_relpos_base_patch16_plus_240 paper: @@ -6983,8 +6289,7 @@ blocks: download: 3692 datasetA: '24.16' datasetB: '26.36' - ranking: '1026' - + ranking: '695' - nameen: convmixer_768_32 namezh: convmixer_768_32 paper: @@ -6993,8 +6298,7 @@ blocks: download: 5777 datasetA: '68.36' datasetB: '26.35' - ranking: '73' - + ranking: '696' - nameen: resnetv2_50t namezh: resnetv2_50t paper: @@ -7003,8 +6307,7 @@ blocks: download: 6031 datasetA: '36.27' datasetB: '26.26' - ranking: '750' - + ranking: '697' - nameen: legacy_seresnext50_32x4d namezh: legacy_seresnext50_32x4d paper: @@ -7013,8 +6316,7 @@ blocks: download: 4511 datasetA: '52.39' datasetB: '26.24' - ranking: '413' - + ranking: '698' - nameen: vit_so400m_patch14_siglip_224 namezh: vit_so400m_patch14_siglip_224 paper: @@ -7023,8 +6325,7 @@ blocks: download: 2525 datasetA: '23.31' datasetB: '26.21' - ranking: '1049' - + ranking: '699' - nameen: davit_base namezh: davit_base paper: @@ -7033,8 +6334,7 @@ blocks: download: 1908 datasetA: '65.01' datasetB: '26.18' - ranking: '134' - + ranking: '700' - nameen: cs3darknet_focus_m namezh: cs3darknet_focus_m paper: @@ -7043,8 +6343,7 @@ blocks: download: 9664 datasetA: '66.28' datasetB: '26.17' - ranking: '113' - + ranking: '701' - nameen: convnext_large_mlp namezh: convnext_large_mlp paper: @@ -7053,8 +6352,7 @@ blocks: download: 1842 datasetA: '67.78' datasetB: '26.13' - ranking: '82' - + ranking: '702' - nameen: efficientnet_es_pruned namezh: efficientnet_es_pruned paper: @@ -7063,8 +6361,7 @@ blocks: download: 2661 datasetA: '59.95' datasetB: '26.1' - ranking: '245' - + ranking: '703' - nameen: crossvit_tiny_240 namezh: crossvit_tiny_240 paper: @@ -7073,8 +6370,7 @@ blocks: download: 8287 datasetA: '66.47' datasetB: '26.06' - ranking: '111' - + ranking: '704' - nameen: mixer_s32_224 namezh: mixer_s32_224 paper: @@ -7083,8 +6379,7 @@ blocks: download: 6224 datasetA: '50.02' datasetB: '26.06' - ranking: '475' - + ranking: '705' - nameen: repvgg_b1 namezh: repvgg_b1 paper: @@ -7093,8 +6388,7 @@ blocks: download: 6840 datasetA: '41.79' datasetB: '26.02' - ranking: '654' - + ranking: '706' - nameen: nf_seresnet101 namezh: nf_seresnet101 paper: @@ -7103,8 +6397,7 @@ blocks: download: 3535 datasetA: '46.29' datasetB: '26.01' - ranking: '562' - + ranking: '707' - nameen: eva02_base_patch14_448 namezh: eva02_base_patch14_448 paper: @@ -7113,8 +6406,7 @@ blocks: download: 7486 datasetA: '58.08' datasetB: '26.0' - ranking: '283' - + ranking: '708' - nameen: mobilenetv3_large_075 namezh: mobilenetv3_large_075 paper: @@ -7123,8 +6415,7 @@ blocks: download: 1397 datasetA: '48.46' datasetB: '25.96' - ranking: '500' - + ranking: '709' - nameen: pit_b_224 namezh: pit_b_224 paper: @@ -7133,8 +6424,7 @@ blocks: download: 6933 datasetA: '45.9' datasetB: '25.95' - ranking: '572' - + ranking: '710' - nameen: poolformerv2_s36 namezh: poolformerv2_s36 paper: @@ -7143,8 +6433,7 @@ blocks: download: 2141 datasetA: '45.21' datasetB: '25.94' - ranking: '590' - + ranking: '711' - nameen: vit_large_patch16_siglip_384 namezh: vit_large_patch16_siglip_384 paper: @@ -7153,8 +6442,7 @@ blocks: download: 1632 datasetA: '25.2' datasetB: '25.91' - ranking: '1003' - + ranking: '712' - nameen: xception65p namezh: xception65p paper: @@ -7163,8 +6451,7 @@ blocks: download: 2654 datasetA: '21.36' datasetB: '25.86' - ranking: '1094' - + ranking: '713' - nameen: dla60_res2net namezh: dla60_res2net paper: @@ -7173,8 +6460,7 @@ blocks: download: 5601 datasetA: '63.51' datasetB: '25.8' - ranking: '166' - + ranking: '714' - nameen: coatnet_nano_rw_224 namezh: coatnet_nano_rw_224 paper: @@ -7183,8 +6469,7 @@ blocks: download: 5824 datasetA: '68.88' datasetB: '25.77' - ranking: '56' - + ranking: '715' - nameen: mobileone_s2 namezh: mobileone_s2 paper: @@ -7193,8 +6478,7 @@ blocks: download: 2145 datasetA: '47.9' datasetB: '25.76' - ranking: '517' - + ranking: '716' - nameen: pvt_v2_b2 namezh: pvt_v2_b2 paper: @@ -7203,8 +6487,7 @@ blocks: download: 5330 datasetA: '45.18' datasetB: '25.75' - ranking: '593' - + ranking: '717' - nameen: vitamin_base_224 namezh: vitamin_base_224 paper: @@ -7213,8 +6496,7 @@ blocks: download: 4956 datasetA: '22.7' datasetB: '25.75' - ranking: '1063' - + ranking: '718' - nameen: spnasnet_100 namezh: spnasnet_100 paper: @@ -7223,8 +6505,7 @@ blocks: download: 2344 datasetA: '33.37' datasetB: '25.69' - ranking: '825' - + ranking: '719' - nameen: focalnet_large_fl4 namezh: focalnet_large_fl4 paper: @@ -7233,8 +6514,7 @@ blocks: download: 3285 datasetA: '56.56' datasetB: '25.65' - ranking: '322' - + ranking: '720' - nameen: vit_pwee_patch16_reg1_gap_256 namezh: vit_pwee_patch16_reg1_gap_256 paper: @@ -7243,8 +6523,7 @@ blocks: download: 7248 datasetA: '24.25' datasetB: '25.64' - ranking: '1022' - + ranking: '721' - nameen: vit_huge_patch16_gap_448 namezh: vit_huge_patch16_gap_448 paper: @@ -7253,8 +6532,7 @@ blocks: download: 7696 datasetA: '25.53' datasetB: '25.57' - ranking: '991' - + ranking: '722' - nameen: ghostnet_100 namezh: ghostnet_100 paper: @@ -7263,8 +6541,7 @@ blocks: download: 8244 datasetA: '55.24' datasetB: '25.56' - ranking: '343' - + ranking: '723' - nameen: legacy_seresnet101 namezh: legacy_seresnet101 paper: @@ -7273,8 +6550,7 @@ blocks: download: 9156 datasetA: '52.52' datasetB: '25.5' - ranking: '410' - + ranking: '724' - nameen: poolformerv2_s12 namezh: poolformerv2_s12 paper: @@ -7283,8 +6559,7 @@ blocks: download: 7213 datasetA: '45.35' datasetB: '25.49' - ranking: '588' - + ranking: '725' - nameen: nest_small namezh: nest_small paper: @@ -7293,8 +6568,7 @@ blocks: download: 5553 datasetA: '47.15' datasetB: '25.39' - ranking: '541' - + ranking: '726' - nameen: xcit_small_12_p16_224 namezh: xcit_small_12_p16_224 paper: @@ -7303,8 +6577,7 @@ blocks: download: 4075 datasetA: '20.64' datasetB: '25.38' - ranking: '1110' - + ranking: '727' - nameen: mnasnet_140 namezh: mnasnet_140 paper: @@ -7313,8 +6586,7 @@ blocks: download: 9522 datasetA: '49.39' datasetB: '25.36' - ranking: '484' - + ranking: '728' - nameen: samvit_huge_patch16 namezh: samvit_huge_patch16 paper: @@ -7323,8 +6595,7 @@ blocks: download: 2727 datasetA: '35.08' datasetB: '25.36' - ranking: '781' - + ranking: '729' - nameen: vit_medium_patch16_gap_240 namezh: vit_medium_patch16_gap_240 paper: @@ -7333,8 +6604,7 @@ blocks: download: 9115 datasetA: '24.93' datasetB: '25.33' - ranking: '1013' - + ranking: '730' - nameen: selecsls60 namezh: selecsls60 paper: @@ -7343,8 +6613,7 @@ blocks: download: 6982 datasetA: '34.77' datasetB: '25.25' - ranking: '788' - + ranking: '731' - nameen: rexnet_200 namezh: rexnet_200 paper: @@ -7353,8 +6622,7 @@ blocks: download: 7519 datasetA: '35.36' datasetB: '25.23' - ranking: '772' - + ranking: '732' - nameen: efficientnet_b8 namezh: efficientnet_b8 paper: @@ -7363,8 +6631,7 @@ blocks: download: 3689 datasetA: '60.52' datasetB: '25.21' - ranking: '236' - + ranking: '733' - nameen: hiera_large_224 namezh: hiera_large_224 paper: @@ -7373,8 +6640,7 @@ blocks: download: 8582 datasetA: '54.16' datasetB: '25.19' - ranking: '377' - + ranking: '734' - nameen: mobilenetv4_hybrid_large_075 namezh: mobilenetv4_hybrid_large_075 paper: @@ -7383,8 +6649,7 @@ blocks: download: 9665 datasetA: '48.02' datasetB: '25.18' - ranking: '512' - + ranking: '735' - nameen: regnety_004 namezh: regnety_004 paper: @@ -7393,8 +6658,7 @@ blocks: download: 4287 datasetA: '43.82' datasetB: '25.15' - ranking: '614' - + ranking: '736' - nameen: gcresnet50t namezh: gcresnet50t paper: @@ -7403,8 +6667,7 @@ blocks: download: 1562 datasetA: '55.75' datasetB: '25.14' - ranking: '331' - + ranking: '737' - nameen: cs3sedarknet_xdw namezh: cs3sedarknet_xdw paper: @@ -7413,8 +6676,7 @@ blocks: download: 3182 datasetA: '65.62' datasetB: '25.1' - ranking: '124' - + ranking: '738' - nameen: resnetrs50 namezh: resnetrs50 paper: @@ -7423,8 +6685,7 @@ blocks: download: 4209 datasetA: '36.92' datasetB: '25.09' - ranking: '738' - + ranking: '739' - nameen: xcit_small_24_p16_224 namezh: xcit_small_24_p16_224 paper: @@ -7433,8 +6694,7 @@ blocks: download: 5111 datasetA: '20.48' datasetB: '25.06' - ranking: '1114' - + ranking: '740' - nameen: swinv2_cr_base_384 namezh: swinv2_cr_base_384 paper: @@ -7443,8 +6703,7 @@ blocks: download: 1327 datasetA: '32.44' datasetB: '25.03' - ranking: '841' - + ranking: '741' - nameen: focalnet_base_lrf namezh: focalnet_base_lrf paper: @@ -7453,8 +6712,7 @@ blocks: download: 1299 datasetA: '56.72' datasetB: '25.02' - ranking: '317' - + ranking: '742' - nameen: maxvit_rmlp_nano_rw_256 namezh: maxvit_rmlp_nano_rw_256 paper: @@ -7463,8 +6721,7 @@ blocks: download: 8372 datasetA: '51.16' datasetB: '25.02' - ranking: '446' - + ranking: '743' - nameen: vit_base_patch16_18x2_224 namezh: vit_base_patch16_18x2_224 paper: @@ -7473,8 +6730,7 @@ blocks: download: 7741 datasetA: '28.15' datasetB: '25.0' - ranking: '937' - + ranking: '744' - nameen: densenet264d namezh: densenet264d paper: @@ -7483,8 +6739,7 @@ blocks: download: 6324 datasetA: '63.89' datasetB: '24.95' - ranking: '160' - + ranking: '745' - nameen: vitamin_large2_224 namezh: vitamin_large2_224 paper: @@ -7493,8 +6748,7 @@ blocks: download: 2414 datasetA: '22.67' datasetB: '24.9' - ranking: '1064' - + ranking: '746' - nameen: hrnet_w32 namezh: hrnet_w32 paper: @@ -7503,8 +6757,7 @@ blocks: download: 7389 datasetA: '53.81' datasetB: '24.89' - ranking: '385' - + ranking: '747' - nameen: nfnet_f6 namezh: nfnet_f6 paper: @@ -7513,8 +6766,7 @@ blocks: download: 7174 datasetA: '46.0' datasetB: '24.86' - ranking: '569' - + ranking: '748' - nameen: resnext50d_32x4d namezh: resnext50d_32x4d paper: @@ -7523,8 +6775,7 @@ blocks: download: 3143 datasetA: '35.68' datasetB: '24.84' - ranking: '763' - + ranking: '749' - nameen: crossvit_9_240 namezh: crossvit_9_240 paper: @@ -7533,8 +6784,7 @@ blocks: download: 1548 datasetA: '67.13' datasetB: '24.76' - ranking: '101' - + ranking: '750' - nameen: dpn131 namezh: dpn131 paper: @@ -7543,8 +6793,7 @@ blocks: download: 2927 datasetA: '62.39' datasetB: '24.75' - ranking: '187' - + ranking: '751' - nameen: maxvit_large_tf_384 namezh: maxvit_large_tf_384 paper: @@ -7553,8 +6802,7 @@ blocks: download: 4921 datasetA: '51.24' datasetB: '24.72' - ranking: '440' - + ranking: '752' - nameen: sequencer2d_m namezh: sequencer2d_m paper: @@ -7563,8 +6811,7 @@ blocks: download: 4662 datasetA: '34.27' datasetB: '24.71' - ranking: '797' - + ranking: '753' - nameen: convformer_b36 namezh: convformer_b36 paper: @@ -7573,8 +6820,7 @@ blocks: download: 5480 datasetA: '68.6' datasetB: '24.59' - ranking: '66' - + ranking: '754' - nameen: mobilenetv3_small_075 namezh: mobilenetv3_small_075 paper: @@ -7583,8 +6829,7 @@ blocks: download: 4580 datasetA: '48.25' datasetB: '24.57' - ranking: '504' - + ranking: '755' - nameen: cs3darknet_focus_x namezh: cs3darknet_focus_x paper: @@ -7593,8 +6838,7 @@ blocks: download: 9114 datasetA: '66.11' datasetB: '24.51' - ranking: '115' - + ranking: '756' - nameen: swinv2_base_window16_256 namezh: swinv2_base_window16_256 paper: @@ -7603,8 +6847,7 @@ blocks: download: 6094 datasetA: '32.57' datasetB: '24.49' - ranking: '839' - + ranking: '757' - nameen: selecsls84 namezh: selecsls84 paper: @@ -7613,8 +6856,7 @@ blocks: download: 9509 datasetA: '34.58' datasetB: '24.41' - ranking: '790' - + ranking: '758' - nameen: resnest269e namezh: resnest269e paper: @@ -7623,8 +6865,7 @@ blocks: download: 3655 datasetA: '39.46' datasetB: '24.33' - ranking: '689' - + ranking: '759' - nameen: swinv2_cr_large_224 namezh: swinv2_cr_large_224 paper: @@ -7633,8 +6874,7 @@ blocks: download: 3803 datasetA: '32.18' datasetB: '24.29' - ranking: '847' - + ranking: '760' - nameen: halo2botnet50ts_256 namezh: halo2botnet50ts_256 paper: @@ -7643,8 +6883,7 @@ blocks: download: 8453 datasetA: '54.91' datasetB: '24.24' - ranking: '353' - + ranking: '761' - nameen: swin_tiny_patch4_window7_224 namezh: swin_tiny_patch4_window7_224 paper: @@ -7653,8 +6892,7 @@ blocks: download: 8135 datasetA: '32.66' datasetB: '24.24' - ranking: '834' - + ranking: '762' - nameen: focalnet_xlarge_fl3 namezh: focalnet_xlarge_fl3 paper: @@ -7663,8 +6901,7 @@ blocks: download: 6349 datasetA: '55.85' datasetB: '24.21' - ranking: '327' - + ranking: '763' - nameen: swinv2_cr_small_224 namezh: swinv2_cr_small_224 paper: @@ -7673,8 +6910,7 @@ blocks: download: 3701 datasetA: '32.12' datasetB: '24.16' - ranking: '849' - + ranking: '764' - nameen: regnetx_064 namezh: regnetx_064 paper: @@ -7683,8 +6919,7 @@ blocks: download: 4254 datasetA: '44.41' datasetB: '24.14' - ranking: '608' - + ranking: '765' - nameen: sebotnet33ts_256 namezh: sebotnet33ts_256 paper: @@ -7693,8 +6928,7 @@ blocks: download: 1742 datasetA: '34.97' datasetB: '24.11' - ranking: '783' - + ranking: '766' - nameen: eca_resnext26ts namezh: eca_resnext26ts paper: @@ -7703,8 +6937,7 @@ blocks: download: 2389 datasetA: '62.22' datasetB: '24.1' - ranking: '195' - + ranking: '767' - nameen: levit_512d namezh: levit_512d paper: @@ -7713,8 +6946,7 @@ blocks: download: 2591 datasetA: '51.81' datasetB: '24.07' - ranking: '425' - + ranking: '768' - nameen: tiny_vit_5m_224 namezh: tiny_vit_5m_224 paper: @@ -7723,8 +6955,7 @@ blocks: download: 7170 datasetA: '29.99' datasetB: '24.03' - ranking: '901' - + ranking: '769' - nameen: regnety_016 namezh: regnety_016 paper: @@ -7733,8 +6964,7 @@ blocks: download: 6559 datasetA: '43.76' datasetB: '23.99' - ranking: '618' - + ranking: '770' - nameen: vit_large_patch14_reg4_dinov2 namezh: vit_large_patch14_reg4_dinov2 paper: @@ -7743,8 +6973,7 @@ blocks: download: 1306 datasetA: '25.37' datasetB: '23.94' - ranking: '998' - + ranking: '771' - nameen: tf_efficientnet_b8 namezh: tf_efficientnet_b8 paper: @@ -7753,8 +6982,7 @@ blocks: download: 8828 datasetA: '31.19' datasetB: '23.92' - ranking: '871' - + ranking: '772' - nameen: xception41p namezh: xception41p paper: @@ -7763,8 +6991,7 @@ blocks: download: 5431 datasetA: '21.45' datasetB: '23.89' - ranking: '1092' - + ranking: '773' - nameen: focalnet_xlarge_fl4 namezh: focalnet_xlarge_fl4 paper: @@ -7773,8 +7000,7 @@ blocks: download: 8750 datasetA: '55.84' datasetB: '23.88' - ranking: '328' - + ranking: '774' - nameen: efficientnet_cc_b0_4e namezh: efficientnet_cc_b0_4e paper: @@ -7783,8 +7009,7 @@ blocks: download: 6141 datasetA: '60.33' datasetB: '23.76' - ranking: '238' - + ranking: '775' - nameen: mixer_l16_224 namezh: mixer_l16_224 paper: @@ -7793,8 +7018,7 @@ blocks: download: 4678 datasetA: '50.13' datasetB: '23.76' - ranking: '472' - + ranking: '776' - nameen: vit_so400m_patch14_siglip_gap_896 namezh: vit_so400m_patch14_siglip_gap_896 paper: @@ -7803,8 +7027,7 @@ blocks: download: 4125 datasetA: '23.12' datasetB: '23.73' - ranking: '1054' - + ranking: '777' - nameen: legacy_xception namezh: legacy_xception paper: @@ -7813,8 +7036,7 @@ blocks: download: 2727 datasetA: '52.28' datasetB: '23.72' - ranking: '415' - + ranking: '778' - nameen: gmlp_s16_224 namezh: gmlp_s16_224 paper: @@ -7823,8 +7045,7 @@ blocks: download: 3845 datasetA: '54.94' datasetB: '23.66' - ranking: '351' - + ranking: '779' - nameen: vit_relpos_base_patch16_rpn_224 namezh: vit_relpos_base_patch16_rpn_224 paper: @@ -7833,8 +7054,7 @@ blocks: download: 5876 datasetA: '24.14' datasetB: '23.64' - ranking: '1027' - + ranking: '780' - nameen: resnetv2_50d namezh: resnetv2_50d paper: @@ -7843,8 +7063,7 @@ blocks: download: 9913 datasetA: '36.46' datasetB: '23.63' - ranking: '746' - + ranking: '781' - nameen: vit_tiny_patch16_224 namezh: vit_tiny_patch16_224 paper: @@ -7853,8 +7072,7 @@ blocks: download: 5684 datasetA: '22.83' datasetB: '23.62' - ranking: '1057' - + ranking: '782' - nameen: vit_giant_patch14_clip_224 namezh: vit_giant_patch14_clip_224 paper: @@ -7863,8 +7081,7 @@ blocks: download: 5705 datasetA: '26.08' datasetB: '23.55' - ranking: '977' - + ranking: '783' - nameen: skresnet50 namezh: skresnet50 paper: @@ -7873,8 +7090,7 @@ blocks: download: 4177 datasetA: '33.63' datasetB: '23.53' - ranking: '822' - + ranking: '784' - nameen: mobilevitv2_200 namezh: mobilevitv2_200 paper: @@ -7883,8 +7099,7 @@ blocks: download: 8233 datasetA: '47.59' datasetB: '23.44' - ranking: '529' - + ranking: '785' - nameen: vit_small_patch16_18x2_224 namezh: vit_small_patch16_18x2_224 paper: @@ -7893,8 +7108,7 @@ blocks: download: 7300 datasetA: '23.62' datasetB: '23.4' - ranking: '1037' - + ranking: '786' - nameen: repghostnet_200 namezh: repghostnet_200 paper: @@ -7903,8 +7117,7 @@ blocks: download: 9696 datasetA: '42.08' datasetB: '23.38' - ranking: '649' - + ranking: '787' - nameen: volo_d2_224 namezh: volo_d2_224 paper: @@ -7913,8 +7126,7 @@ blocks: download: 1456 datasetA: '21.92' datasetB: '23.37' - ranking: '1078' - + ranking: '788' - nameen: coatnet_3_rw_224 namezh: coatnet_3_rw_224 paper: @@ -7923,8 +7135,7 @@ blocks: download: 8116 datasetA: '69.0' datasetB: '23.34' - ranking: '51' - + ranking: '789' - nameen: mobilenet_edgetpu_v2_m namezh: mobilenet_edgetpu_v2_m paper: @@ -7933,8 +7144,7 @@ blocks: download: 2432 datasetA: '48.89' datasetB: '23.33' - ranking: '490' - + ranking: '790' - nameen: resnetblur18 namezh: resnetblur18 paper: @@ -7943,8 +7153,7 @@ blocks: download: 6454 datasetA: '37.2' datasetB: '23.3' - ranking: '734' - + ranking: '791' - nameen: res2net101_26w_4s namezh: res2net101_26w_4s paper: @@ -7953,8 +7162,7 @@ blocks: download: 1614 datasetA: '40.29' datasetB: '23.29' - ranking: '675' - + ranking: '792' - nameen: vit_relpos_base_patch16_clsgap_224 namezh: vit_relpos_base_patch16_clsgap_224 paper: @@ -7963,8 +7171,7 @@ blocks: download: 4035 datasetA: '24.18' datasetB: '23.21' - ranking: '1025' - + ranking: '793' - nameen: nfnet_f7 namezh: nfnet_f7 paper: @@ -7973,8 +7180,7 @@ blocks: download: 1920 datasetA: '45.91' datasetB: '23.16' - ranking: '570' - + ranking: '794' - nameen: convnext_tiny namezh: convnext_tiny paper: @@ -7983,8 +7189,7 @@ blocks: download: 7403 datasetA: '67.62' datasetB: '23.07' - ranking: '88' - + ranking: '795' - nameen: botnet50ts_256 namezh: botnet50ts_256 paper: @@ -7993,8 +7198,7 @@ blocks: download: 2350 datasetA: '70.48' datasetB: '23.03' - ranking: '21' - + ranking: '796' - nameen: edgenext_base namezh: edgenext_base paper: @@ -8003,8 +7207,7 @@ blocks: download: 2225 datasetA: '61.6' datasetB: '23.01' - ranking: '208' - + ranking: '797' - nameen: ecaresnext26t_32x4d namezh: ecaresnext26t_32x4d paper: @@ -8013,8 +7216,7 @@ blocks: download: 7766 datasetA: '61.65' datasetB: '22.98' - ranking: '206' - + ranking: '798' - nameen: efficientnet_b2_pruned namezh: efficientnet_b2_pruned paper: @@ -8023,8 +7225,7 @@ blocks: download: 8424 datasetA: '60.94' datasetB: '22.93' - ranking: '227' - + ranking: '799' - nameen: dla46_c namezh: dla46_c paper: @@ -8033,8 +7234,7 @@ blocks: download: 6202 datasetA: '63.61' datasetB: '22.92' - ranking: '163' - + ranking: '800' - nameen: tf_efficientnetv2_s namezh: tf_efficientnetv2_s paper: @@ -8043,8 +7243,7 @@ blocks: download: 6676 datasetA: '30.34' datasetB: '22.82' - ranking: '890' - + ranking: '801' - nameen: regnetx_040 namezh: regnetx_040 paper: @@ -8053,8 +7252,7 @@ blocks: download: 6611 datasetA: '44.47' datasetB: '22.8' - ranking: '607' - + ranking: '802' - nameen: legacy_seresnet18 namezh: legacy_seresnet18 paper: @@ -8063,8 +7261,7 @@ blocks: download: 4398 datasetA: '52.71' datasetB: '22.79' - ranking: '407' - + ranking: '803' - nameen: densenetblur121d namezh: densenetblur121d paper: @@ -8073,8 +7270,7 @@ blocks: download: 7592 datasetA: '63.84' datasetB: '22.71' - ranking: '161' - + ranking: '804' - nameen: dm_nfnet_f2 namezh: dm_nfnet_f2 paper: @@ -8083,8 +7279,7 @@ blocks: download: 9381 datasetA: '63.04' datasetB: '22.7' - ranking: '176' - + ranking: '805' - nameen: regnetx_320 namezh: regnetx_320 paper: @@ -8093,8 +7288,7 @@ blocks: download: 8922 datasetA: '43.91' datasetB: '22.7' - ranking: '612' - + ranking: '806' - nameen: swinv2_cr_small_ns_224 namezh: swinv2_cr_small_ns_224 paper: @@ -8103,8 +7297,7 @@ blocks: download: 2010 datasetA: '31.92' datasetB: '22.7' - ranking: '851' - + ranking: '807' - nameen: vit_base_patch32_384 namezh: vit_base_patch32_384 paper: @@ -8113,8 +7306,7 @@ blocks: download: 8710 datasetA: '27.0' datasetB: '22.62' - ranking: '959' - + ranking: '808' - nameen: resnest200e namezh: resnest200e paper: @@ -8123,8 +7315,7 @@ blocks: download: 5334 datasetA: '39.47' datasetB: '22.6' - ranking: '688' - + ranking: '809' - nameen: fastvit_mci2 namezh: fastvit_mci2 paper: @@ -8133,8 +7324,7 @@ blocks: download: 5229 datasetA: '57.18' datasetB: '22.58' - ranking: '303' - + ranking: '810' - nameen: vitamin_large_224 namezh: vitamin_large_224 paper: @@ -8143,8 +7333,7 @@ blocks: download: 7699 datasetA: '22.52' datasetB: '22.55' - ranking: '1068' - + ranking: '811' - nameen: swinv2_cr_tiny_ns_224 namezh: swinv2_cr_tiny_ns_224 paper: @@ -8153,8 +7342,7 @@ blocks: download: 2024 datasetA: '31.81' datasetB: '22.54' - ranking: '855' - + ranking: '812' - nameen: vit_large_patch16_siglip_256 namezh: vit_large_patch16_siglip_256 paper: @@ -8163,8 +7351,7 @@ blocks: download: 8341 datasetA: '25.23' datasetB: '22.54' - ranking: '1002' - + ranking: '813' - nameen: resnetv2_50d_evos namezh: resnetv2_50d_evos paper: @@ -8173,8 +7360,7 @@ blocks: download: 6625 datasetA: '36.43' datasetB: '22.53' - ranking: '747' - + ranking: '814' - nameen: swin_large_patch4_window12_384 namezh: swin_large_patch4_window12_384 paper: @@ -8183,8 +7369,7 @@ blocks: download: 7732 datasetA: '33.21' datasetB: '22.53' - ranking: '829' - + ranking: '815' - nameen: halonet26t namezh: halonet26t paper: @@ -8193,8 +7378,7 @@ blocks: download: 1652 datasetA: '54.9' datasetB: '22.51' - ranking: '354' - + ranking: '816' - nameen: coatnet_rmlp_2_rw_384 namezh: coatnet_rmlp_2_rw_384 paper: @@ -8203,8 +7387,7 @@ blocks: download: 3247 datasetA: '68.72' datasetB: '22.47' - ranking: '62' - + ranking: '817' - nameen: dla60 namezh: dla60 paper: @@ -8213,8 +7396,7 @@ blocks: download: 7339 datasetA: '63.53' datasetB: '22.46' - ranking: '165' - + ranking: '818' - nameen: hgnetv2_b1 namezh: hgnetv2_b1 paper: @@ -8223,8 +7405,7 @@ blocks: download: 9670 datasetA: '54.42' datasetB: '22.39' - ranking: '368' - + ranking: '819' - nameen: xcit_tiny_24_p8_384 namezh: xcit_tiny_24_p8_384 paper: @@ -8233,8 +7414,7 @@ blocks: download: 5410 datasetA: '20.32' datasetB: '22.39' - ranking: '1121' - + ranking: '820' - nameen: convnext_base namezh: convnext_base paper: @@ -8243,8 +7423,7 @@ blocks: download: 8371 datasetA: '67.94' datasetB: '22.26' - ranking: '78' - + ranking: '821' - nameen: vit_small_patch16_224 namezh: vit_small_patch16_224 paper: @@ -8253,8 +7432,7 @@ blocks: download: 3087 datasetA: '23.57' datasetB: '22.22' - ranking: '1039' - + ranking: '822' - nameen: resnet101d namezh: resnet101d paper: @@ -8263,8 +7441,7 @@ blocks: download: 1458 datasetA: '37.71' datasetB: '22.19' - ranking: '722' - + ranking: '823' - nameen: hiera_huge_224 namezh: hiera_huge_224 paper: @@ -8273,8 +7450,7 @@ blocks: download: 5055 datasetA: '54.18' datasetB: '22.16' - ranking: '376' - + ranking: '824' - nameen: resnetaa50 namezh: resnetaa50 paper: @@ -8283,8 +7459,7 @@ blocks: download: 6313 datasetA: '37.33' datasetB: '22.09' - ranking: '731' - + ranking: '825' - nameen: res2net101d namezh: res2net101d paper: @@ -8293,8 +7468,7 @@ blocks: download: 7578 datasetA: '40.26' datasetB: '22.05' - ranking: '676' - + ranking: '826' - nameen: convnextv2_small namezh: convnextv2_small paper: @@ -8303,8 +7477,7 @@ blocks: download: 4586 datasetA: '67.14' datasetB: '21.97' - ranking: '99' - + ranking: '827' - nameen: nextvit_base namezh: nextvit_base paper: @@ -8313,8 +7486,7 @@ blocks: download: 6015 datasetA: '46.97' datasetB: '21.91' - ranking: '545' - + ranking: '828' - nameen: levit_conv_384_s8 namezh: levit_conv_384_s8 paper: @@ -8323,8 +7495,7 @@ blocks: download: 3486 datasetA: '51.65' datasetB: '21.88' - ranking: '432' - + ranking: '829' - nameen: ecaresnet26t namezh: ecaresnet26t paper: @@ -8333,8 +7504,7 @@ blocks: download: 5547 datasetA: '62.0' datasetB: '21.86' - ranking: '197' - + ranking: '830' - nameen: pvt_v2_b2_li namezh: pvt_v2_b2_li paper: @@ -8343,8 +7513,7 @@ blocks: download: 6077 datasetA: '45.11' datasetB: '21.86' - ranking: '594' - + ranking: '831' - nameen: repvgg_b3g4 namezh: repvgg_b3g4 paper: @@ -8353,8 +7522,7 @@ blocks: download: 7549 datasetA: '41.62' datasetB: '21.8' - ranking: '659' - + ranking: '832' - nameen: Swin-L namezh: Swin-L paper: @@ -8365,8 +7533,7 @@ blocks: download: 5902 datasetA: '71.12' datasetB: '21.67' - ranking: '2' - - nameen: deit3_large_patch16_224 + ranking: '833' - nameen: deit3_large_patch16_224 namezh: deit3_large_patch16_224 paper: text: 'https://huggingface.co/docs/timm/index' @@ -8374,8 +7541,7 @@ blocks: download: 7407 datasetA: '64.55' datasetB: '21.59' - ranking: '143' - + ranking: '834' - nameen: dla102x namezh: dla102x paper: @@ -8384,8 +7550,7 @@ blocks: download: 3295 datasetA: '63.32' datasetB: '21.53' - ranking: '171' - + ranking: '835' - nameen: xcit_medium_24_p8_384 namezh: xcit_medium_24_p8_384 paper: @@ -8394,8 +7559,7 @@ blocks: download: 2120 datasetA: '20.96' datasetB: '21.52' - ranking: '1101' - + ranking: '836' - nameen: samvit_large_patch16 namezh: samvit_large_patch16 paper: @@ -8404,8 +7568,7 @@ blocks: download: 1153 datasetA: '34.99' datasetB: '21.47' - ranking: '782' - + ranking: '837' - nameen: coatnet_1_224 namezh: coatnet_1_224 paper: @@ -8414,8 +7577,7 @@ blocks: download: 9334 datasetA: '69.42' datasetB: '21.45' - ranking: '46' - + ranking: '838' - nameen: caformer_m36 namezh: caformer_m36 paper: @@ -8424,8 +7586,7 @@ blocks: download: 3945 datasetA: '70.33' datasetB: '21.35' - ranking: '23' - + ranking: '839' - nameen: densenet169 namezh: densenet169 paper: @@ -8434,8 +7595,7 @@ blocks: download: 8712 datasetA: '64.08' datasetB: '21.32' - ranking: '158' - + ranking: '840' - nameen: deit3_small_patch16_224 namezh: deit3_small_patch16_224 paper: @@ -8444,8 +7604,7 @@ blocks: download: 7678 datasetA: '64.53' datasetB: '21.31' - ranking: '146' - + ranking: '841' - nameen: flexivit_large namezh: flexivit_large paper: @@ -8454,8 +7613,7 @@ blocks: download: 3600 datasetA: '56.76' datasetB: '21.28' - ranking: '315' - + ranking: '842' - nameen: mobilenetv4_conv_large namezh: mobilenetv4_conv_large paper: @@ -8464,8 +7622,7 @@ blocks: download: 3194 datasetA: '48.14' datasetB: '21.24' - ranking: '508' - + ranking: '843' - nameen: pit_s_distilled_224 namezh: pit_s_distilled_224 paper: @@ -8474,8 +7631,7 @@ blocks: download: 8978 datasetA: '45.76' datasetB: '21.19' - ranking: '575' - + ranking: '844' - nameen: resnet152d namezh: resnet152d paper: @@ -8484,8 +7640,7 @@ blocks: download: 5255 datasetA: '37.56' datasetB: '21.16' - ranking: '726' - + ranking: '845' - nameen: mobilevit_s namezh: mobilevit_s paper: @@ -8494,8 +7649,7 @@ blocks: download: 6691 datasetA: '47.84' datasetB: '21.15' - ranking: '520' - + ranking: '846' - nameen: efficientnet_cc_b0_8e namezh: efficientnet_cc_b0_8e paper: @@ -8504,8 +7658,7 @@ blocks: download: 8236 datasetA: '60.18' datasetB: '21.14' - ranking: '239' - + ranking: '847' - nameen: legacy_seresnet152 namezh: legacy_seresnet152 paper: @@ -8514,8 +7667,7 @@ blocks: download: 1015 datasetA: '52.44' datasetB: '21.14' - ranking: '411' - + ranking: '848' - nameen: levit_conv_384 namezh: levit_conv_384 paper: @@ -8524,8 +7676,7 @@ blocks: download: 2384 datasetA: '51.66' datasetB: '21.11' - ranking: '431' - + ranking: '849' - nameen: caformer_s18 namezh: caformer_s18 paper: @@ -8534,8 +7685,7 @@ blocks: download: 7910 datasetA: '70.28' datasetB: '21.09' - ranking: '24' - + ranking: '850' - nameen: cait_xs24_384 namezh: cait_xs24_384 paper: @@ -8544,8 +7694,7 @@ blocks: download: 8357 datasetA: '69.93' datasetB: '20.92' - ranking: '31' - + ranking: '851' - nameen: maxvit_rmlp_base_rw_224 namezh: maxvit_rmlp_base_rw_224 paper: @@ -8554,8 +7703,7 @@ blocks: download: 2065 datasetA: '51.18' datasetB: '20.82' - ranking: '444' - + ranking: '852' - nameen: resnet50x64_clip_gap namezh: resnet50x64_clip_gap paper: @@ -8564,8 +7712,7 @@ blocks: download: 6282 datasetA: '38.06' datasetB: '20.76' - ranking: '715' - + ranking: '853' - nameen: regnetz_d32 namezh: regnetz_d32 paper: @@ -8574,8 +7721,7 @@ blocks: download: 4804 datasetA: '42.52' datasetB: '20.73' - ranking: '640' - + ranking: '854' - nameen: vit_medium_patch16_reg4_gap_256 namezh: vit_medium_patch16_reg4_gap_256 paper: @@ -8584,8 +7730,7 @@ blocks: download: 4001 datasetA: '24.51' datasetB: '20.66' - ranking: '1017' - + ranking: '855' - nameen: ecaresnet101d namezh: ecaresnet101d paper: @@ -8594,8 +7739,7 @@ blocks: download: 5211 datasetA: '61.85' datasetB: '20.63' - ranking: '201' - + ranking: '856' - nameen: tf_efficientnet_cc_b1_8e namezh: tf_efficientnet_cc_b1_8e paper: @@ -8604,8 +7748,7 @@ blocks: download: 7341 datasetA: '31.01' datasetB: '20.61' - ranking: '874' - + ranking: '857' - nameen: fastvit_t12 namezh: fastvit_t12 paper: @@ -8614,8 +7757,7 @@ blocks: download: 3771 datasetA: '56.92' datasetB: '20.6' - ranking: '309' - + ranking: '858' - nameen: hardcorenas_c namezh: hardcorenas_c paper: @@ -8624,8 +7766,7 @@ blocks: download: 7475 datasetA: '54.67' datasetB: '20.6' - ranking: '360' - + ranking: '859' - nameen: swin_s3_small_224 namezh: swin_s3_small_224 paper: @@ -8634,8 +7775,7 @@ blocks: download: 7245 datasetA: '33.09' datasetB: '20.6' - ranking: '831' - + ranking: '860' - nameen: dla46x_c namezh: dla46x_c paper: @@ -8644,8 +7784,7 @@ blocks: download: 6466 datasetA: '63.53' datasetB: '20.5' - ranking: '164' - + ranking: '861' - nameen: vit_small_r26_s32_224 namezh: vit_small_r26_s32_224 paper: @@ -8654,8 +7793,7 @@ blocks: download: 3155 datasetA: '23.53' datasetB: '20.5' - ranking: '1043' - + ranking: '862' - nameen: gmlp_b16_224 namezh: gmlp_b16_224 paper: @@ -8664,8 +7802,7 @@ blocks: download: 8470 datasetA: '54.94' datasetB: '20.49' - ranking: '350' - + ranking: '863' - nameen: vit_huge_patch14_clip_378 namezh: vit_huge_patch14_clip_378 paper: @@ -8674,8 +7811,7 @@ blocks: download: 1460 datasetA: '25.65' datasetB: '20.47' - ranking: '986' - + ranking: '864' - nameen: vit_relpos_small_patch16_224 namezh: vit_relpos_small_patch16_224 paper: @@ -8684,8 +7820,7 @@ blocks: download: 3284 datasetA: '23.79' datasetB: '20.47' - ranking: '1032' - + ranking: '865' - nameen: nasnetalarge namezh: nasnetalarge paper: @@ -8694,8 +7829,7 @@ blocks: download: 6252 datasetA: '47.17' datasetB: '20.44' - ranking: '538' - + ranking: '866' - nameen: beitv2_base_patch16_224 namezh: beitv2_base_patch16_224 paper: @@ -8704,8 +7838,7 @@ blocks: download: 7363 datasetA: '70.54' datasetB: '20.4' - ranking: '18' - + ranking: '867' - nameen: tf_mobilenetv3_large_minimal_100 namezh: tf_mobilenetv3_large_minimal_100 paper: @@ -8714,8 +7847,7 @@ blocks: download: 9443 datasetA: '30.14' datasetB: '20.4' - ranking: '897' - + ranking: '868' - nameen: swin_s3_tiny_224 namezh: swin_s3_tiny_224 paper: @@ -8724,8 +7856,7 @@ blocks: download: 5801 datasetA: '32.88' datasetB: '20.35' - ranking: '832' - + ranking: '869' - nameen: xcit_small_24_p16_384 namezh: xcit_small_24_p16_384 paper: @@ -8734,8 +7865,7 @@ blocks: download: 5102 datasetA: '20.47' datasetB: '20.31' - ranking: '1115' - + ranking: '870' - nameen: mobileone_s1 namezh: mobileone_s1 paper: @@ -8744,8 +7874,7 @@ blocks: download: 9036 datasetA: '47.9' datasetB: '20.29' - ranking: '516' - + ranking: '871' - nameen: vit_huge_patch14_clip_224 namezh: vit_huge_patch14_clip_224 paper: @@ -8754,8 +7883,7 @@ blocks: download: 5133 datasetA: '25.73' datasetB: '20.25' - ranking: '984' - + ranking: '872' - nameen: coat_lite_small namezh: coat_lite_small paper: @@ -8764,8 +7892,7 @@ blocks: download: 1387 datasetA: '69.6' datasetB: '20.24' - ranking: '39' - + ranking: '873' - nameen: inception_v3 namezh: inception_v3 paper: @@ -8774,8 +7901,7 @@ blocks: download: 9391 datasetA: '53.14' datasetB: '20.06' - ranking: '395' - + ranking: '874' - nameen: nfnet_f1 namezh: nfnet_f1 paper: @@ -8784,8 +7910,7 @@ blocks: download: 7460 datasetA: '46.22' datasetB: '20.06' - ranking: '564' - + ranking: '875' - nameen: cs3edgenet_x namezh: cs3edgenet_x paper: @@ -8794,8 +7919,7 @@ blocks: download: 8691 datasetA: '65.87' datasetB: '19.96' - ranking: '120' - + ranking: '876' - nameen: pvt_v2_b4 namezh: pvt_v2_b4 paper: @@ -8804,8 +7928,7 @@ blocks: download: 2273 datasetA: '45.0' datasetB: '19.89' - ranking: '596' - + ranking: '877' - nameen: regnety_064 namezh: regnety_064 paper: @@ -8814,8 +7937,7 @@ blocks: download: 9848 datasetA: '43.58' datasetB: '19.83' - ranking: '622' - + ranking: '878' - nameen: resnet61q namezh: resnet61q paper: @@ -8824,8 +7946,7 @@ blocks: download: 4770 datasetA: '37.99' datasetB: '19.78' - ranking: '717' - + ranking: '879' - nameen: mobilevitv2_075 namezh: mobilevitv2_075 paper: @@ -8834,8 +7955,7 @@ blocks: download: 9545 datasetA: '47.69' datasetB: '19.76' - ranking: '524' - + ranking: '880' - nameen: resnet50x16_clip_gap namezh: resnet50x16_clip_gap paper: @@ -8844,8 +7964,7 @@ blocks: download: 6746 datasetA: '38.13' datasetB: '19.73' - ranking: '713' - + ranking: '881' - nameen: dla34 namezh: dla34 paper: @@ -8854,8 +7973,7 @@ blocks: download: 5334 datasetA: '63.61' datasetB: '19.69' - ranking: '162' - + ranking: '882' - nameen: mvitv2_tiny namezh: mvitv2_tiny paper: @@ -8864,8 +7982,7 @@ blocks: download: 8654 datasetA: '47.21' datasetB: '19.67' - ranking: '537' - + ranking: '883' - nameen: resnetv2_101 namezh: resnetv2_101 paper: @@ -8874,8 +7991,7 @@ blocks: download: 5338 datasetA: '36.17' datasetB: '19.64' - ranking: '753' - + ranking: '884' - nameen: vit_base_resnet26d_224 namezh: vit_base_resnet26d_224 paper: @@ -8884,8 +8000,7 @@ blocks: download: 4917 datasetA: '26.64' datasetB: '19.51' - ranking: '969' - + ranking: '885' - nameen: eca_vovnet39b namezh: eca_vovnet39b paper: @@ -8894,8 +8009,7 @@ blocks: download: 7703 datasetA: '62.0' datasetB: '19.48' - ranking: '196' - + ranking: '886' - nameen: efficientformerv2_s1 namezh: efficientformerv2_s1 paper: @@ -8904,8 +8018,7 @@ blocks: download: 7172 datasetA: '61.3' datasetB: '19.34' - ranking: '218' - + ranking: '887' - nameen: swin_large_patch4_window7_224 namezh: swin_large_patch4_window7_224 paper: @@ -8914,8 +8027,7 @@ blocks: download: 3071 datasetA: '33.24' datasetB: '19.34' - ranking: '828' - + ranking: '888' - nameen: sehalonet33ts namezh: sehalonet33ts paper: @@ -8924,8 +8036,7 @@ blocks: download: 5207 datasetA: '34.86' datasetB: '19.28' - ranking: '785' - + ranking: '889' - nameen: vit_base_patch16_clip_quickgelu_224 namezh: vit_base_patch16_clip_quickgelu_224 paper: @@ -8934,8 +8045,7 @@ blocks: download: 3234 datasetA: '28.01' datasetB: '19.26' - ranking: '943' - + ranking: '890' - nameen: samvit_base_patch16 namezh: samvit_base_patch16 paper: @@ -8944,8 +8054,7 @@ blocks: download: 6916 datasetA: '35.15' datasetB: '19.25' - ranking: '779' - + ranking: '891' - nameen: crossvit_15_dagger_408 namezh: crossvit_15_dagger_408 paper: @@ -8954,8 +8063,7 @@ blocks: download: 3192 datasetA: '66.92' datasetB: '19.22' - ranking: '105' - + ranking: '892' - nameen: nf_seresnet26 namezh: nf_seresnet26 paper: @@ -8964,8 +8072,7 @@ blocks: download: 2193 datasetA: '46.44' datasetB: '19.17' - ranking: '560' - + ranking: '893' - nameen: levit_conv_128s namezh: levit_conv_128s paper: @@ -8974,8 +8081,7 @@ blocks: download: 6540 datasetA: '51.76' datasetB: '19.11' - ranking: '427' - + ranking: '894' - nameen: hiera_base_224 namezh: hiera_base_224 paper: @@ -8984,8 +8090,7 @@ blocks: download: 7544 datasetA: '54.28' datasetB: '19.07' - ranking: '374' - + ranking: '895' - nameen: mixnet_l namezh: mixnet_l paper: @@ -8994,8 +8099,7 @@ blocks: download: 1058 datasetA: '49.87' datasetB: '19.03' - ranking: '476' - + ranking: '896' - nameen: focalnet_tiny_lrf namezh: focalnet_tiny_lrf paper: @@ -9004,8 +8108,7 @@ blocks: download: 9414 datasetA: '56.32' datasetB: '19.01' - ranking: '325' - + ranking: '897' - nameen: tiny_vit_21m_384 namezh: tiny_vit_21m_384 paper: @@ -9014,8 +8117,7 @@ blocks: download: 4286 datasetA: '29.72' datasetB: '18.86' - ranking: '904' - + ranking: '898' - nameen: twins_pcpvt_base namezh: twins_pcpvt_base paper: @@ -9024,8 +8126,7 @@ blocks: download: 1162 datasetA: '29.19' datasetB: '18.76' - ranking: '917' - + ranking: '899' - nameen: efficientnet_b1_pruned namezh: efficientnet_b1_pruned paper: @@ -9034,8 +8135,7 @@ blocks: download: 4659 datasetA: '61.04' datasetB: '18.74' - ranking: '225' - + ranking: '900' - nameen: efficientnetv2_rw_t namezh: efficientnetv2_rw_t paper: @@ -9044,8 +8144,7 @@ blocks: download: 5694 datasetA: '59.1' datasetB: '18.73' - ranking: '259' - + ranking: '901' - nameen: levit_conv_512 namezh: levit_conv_512 paper: @@ -9054,8 +8153,7 @@ blocks: download: 2229 datasetA: '51.64' datasetB: '18.7' - ranking: '433' - + ranking: '902' - nameen: fastvit_sa36 namezh: fastvit_sa36 paper: @@ -9064,8 +8162,7 @@ blocks: download: 7970 datasetA: '57.03' datasetB: '18.62' - ranking: '307' - + ranking: '903' - nameen: convmixer_1024_20_ks9_p14 namezh: convmixer_1024_20_ks9_p14 paper: @@ -9074,8 +8171,7 @@ blocks: download: 5042 datasetA: '68.32' datasetB: '18.59' - ranking: '74' - + ranking: '904' - nameen: swinv2_cr_small_384 namezh: swinv2_cr_small_384 paper: @@ -9084,8 +8180,7 @@ blocks: download: 2474 datasetA: '32.04' datasetB: '18.58' - ranking: '850' - + ranking: '905' - nameen: hgnetv2_b6 namezh: hgnetv2_b6 paper: @@ -9094,8 +8189,7 @@ blocks: download: 2363 datasetA: '54.29' datasetB: '18.55' - ranking: '373' - + ranking: '906' - nameen: twins_pcpvt_small namezh: twins_pcpvt_small paper: @@ -9104,8 +8198,7 @@ blocks: download: 5296 datasetA: '29.11' datasetB: '18.52' - ranking: '919' - + ranking: '907' - nameen: volo_d3_224 namezh: volo_d3_224 paper: @@ -9114,8 +8207,7 @@ blocks: download: 2621 datasetA: '21.79' datasetB: '18.52' - ranking: '1080' - + ranking: '908' - nameen: regnetx_016 namezh: regnetx_016 paper: @@ -9124,8 +8216,7 @@ blocks: download: 3945 datasetA: '44.64' datasetB: '18.49' - ranking: '605' - + ranking: '909' - nameen: cspresnext50 namezh: cspresnext50 paper: @@ -9134,8 +8225,7 @@ blocks: download: 7905 datasetA: '65.39' datasetB: '18.44' - ranking: '129' - + ranking: '910' - nameen: vit_base_patch16_224 namezh: vit_base_patch16_224 paper: @@ -9144,8 +8234,7 @@ blocks: download: 3276 datasetA: '28.1' datasetB: '18.41' - ranking: '938' - + ranking: '911' - nameen: maxvit_xlarge_tf_512 namezh: maxvit_xlarge_tf_512 paper: @@ -9154,8 +8243,7 @@ blocks: download: 7446 datasetA: '50.32' datasetB: '18.4' - ranking: '462' - + ranking: '912' - nameen: swinv2_base_window12to16_192to256 namezh: swinv2_base_window12to16_192to256 paper: @@ -9164,8 +8252,7 @@ blocks: download: 3567 datasetA: '32.65' datasetB: '18.4' - ranking: '837' - + ranking: '913' - nameen: maxvit_large_tf_224 namezh: maxvit_large_tf_224 paper: @@ -9174,8 +8261,7 @@ blocks: download: 2043 datasetA: '51.27' datasetB: '18.31' - ranking: '439' - + ranking: '914' - nameen: resnetv2_152x2_bit namezh: resnetv2_152x2_bit paper: @@ -9184,8 +8270,7 @@ blocks: download: 9719 datasetA: '35.85' datasetB: '18.28' - ranking: '759' - + ranking: '915' - nameen: vit_small_patch16_384 namezh: vit_small_patch16_384 paper: @@ -9194,8 +8279,7 @@ blocks: download: 3076 datasetA: '23.57' datasetB: '18.21' - ranking: '1040' - + ranking: '916' - nameen: seresnet18 namezh: seresnet18 paper: @@ -9204,8 +8288,7 @@ blocks: download: 3333 datasetA: '34.17' datasetB: '18.14' - ranking: '799' - + ranking: '917' - nameen: swinv2_cr_base_ns_224 namezh: swinv2_cr_base_ns_224 paper: @@ -9214,8 +8297,7 @@ blocks: download: 9272 datasetA: '32.39' datasetB: '18.12' - ranking: '842' - + ranking: '918' - nameen: repvit_m1_5 namezh: repvit_m1_5 paper: @@ -9224,8 +8306,7 @@ blocks: download: 8909 datasetA: '41.02' datasetB: '18.11' - ranking: '665' - + ranking: '919' - nameen: efficientnetv2_l namezh: efficientnetv2_l paper: @@ -9234,8 +8315,7 @@ blocks: download: 2618 datasetA: '59.26' datasetB: '18.07' - ranking: '255' - + ranking: '920' - nameen: dpn68 namezh: dpn68 paper: @@ -9244,8 +8324,7 @@ blocks: download: 2413 datasetA: '62.71' datasetB: '18.01' - ranking: '182' - + ranking: '921' - nameen: vit_base_patch16_rpn_224 namezh: vit_base_patch16_rpn_224 paper: @@ -9254,8 +8333,7 @@ blocks: download: 7155 datasetA: '27.64' datasetB: '18.0' - ranking: '948' - + ranking: '922' - nameen: vit_relpos_medium_patch16_224 namezh: vit_relpos_medium_patch16_224 paper: @@ -9264,8 +8342,7 @@ blocks: download: 8277 datasetA: '23.91' datasetB: '17.96' - ranking: '1029' - + ranking: '923' - nameen: resnetaa101d namezh: resnetaa101d paper: @@ -9274,8 +8351,7 @@ blocks: download: 2785 datasetA: '37.32' datasetB: '17.93' - ranking: '733' - + ranking: '924' - nameen: tf_efficientnetv2_xl namezh: tf_efficientnetv2_xl paper: @@ -9284,8 +8360,7 @@ blocks: download: 4458 datasetA: '30.31' datasetB: '17.87' - ranking: '891' - + ranking: '925' - nameen: maxvit_rmlp_base_rw_384 namezh: maxvit_rmlp_base_rw_384 paper: @@ -9294,8 +8369,7 @@ blocks: download: 9930 datasetA: '51.17' datasetB: '17.79' - ranking: '445' - + ranking: '926' - nameen: poolformerv2_m48 namezh: poolformerv2_m48 paper: @@ -9304,8 +8378,7 @@ blocks: download: 6749 datasetA: '45.46' datasetB: '17.76' - ranking: '587' - + ranking: '927' - nameen: efficientvit_l2 namezh: efficientvit_l2 paper: @@ -9314,8 +8387,7 @@ blocks: download: 5348 datasetA: '58.85' datasetB: '17.73' - ranking: '267' - + ranking: '928' - nameen: cait_s24_224 namezh: cait_s24_224 paper: @@ -9324,8 +8396,7 @@ blocks: download: 9853 datasetA: '69.98' datasetB: '17.69' - ranking: '28' - + ranking: '929' - nameen: cspresnet50 namezh: cspresnet50 paper: @@ -9334,8 +8405,7 @@ blocks: download: 1616 datasetA: '65.57' datasetB: '17.69' - ranking: '126' - + ranking: '930' - nameen: legacy_seresnext26_32x4d namezh: legacy_seresnext26_32x4d paper: @@ -9344,8 +8414,7 @@ blocks: download: 6896 datasetA: '52.43' datasetB: '17.66' - ranking: '412' - + ranking: '931' - nameen: convnext_atto_ols namezh: convnext_atto_ols paper: @@ -9354,8 +8423,7 @@ blocks: download: 1778 datasetA: '68.15' datasetB: '17.65' - ranking: '77' - + ranking: '932' - nameen: resnetv2_152d namezh: resnetv2_152d paper: @@ -9364,8 +8432,7 @@ blocks: download: 6601 datasetA: '35.92' datasetB: '17.64' - ranking: '758' - + ranking: '933' - nameen: tinynet_e namezh: tinynet_e paper: @@ -9374,8 +8441,7 @@ blocks: download: 1497 datasetA: '29.55' datasetB: '17.49' - ranking: '910' - + ranking: '934' - nameen: ecaresnetlight namezh: ecaresnetlight paper: @@ -9384,8 +8450,7 @@ blocks: download: 5227 datasetA: '61.66' datasetB: '17.47' - ranking: '205' - + ranking: '935' - nameen: hrnet_w48_ssld namezh: hrnet_w48_ssld paper: @@ -9394,8 +8459,7 @@ blocks: download: 7917 datasetA: '53.47' datasetB: '17.45' - ranking: '389' - + ranking: '936' - nameen: tinynet_c namezh: tinynet_c paper: @@ -9404,8 +8468,7 @@ blocks: download: 9353 datasetA: '29.63' datasetB: '17.44' - ranking: '908' - + ranking: '937' - nameen: resmlp_big_24_224 namezh: resmlp_big_24_224 paper: @@ -9414,8 +8477,7 @@ blocks: download: 1001 datasetA: '39.98' datasetB: '17.42' - ranking: '681' - + ranking: '938' - nameen: vit_mediumd_patch16_reg4_gap_256 namezh: vit_mediumd_patch16_reg4_gap_256 paper: @@ -9424,8 +8486,7 @@ blocks: download: 2066 datasetA: '24.46' datasetB: '17.4' - ranking: '1020' - + ranking: '939' - nameen: vgg19_bn namezh: vgg19_bn paper: @@ -9434,8 +8495,7 @@ blocks: download: 5739 datasetA: '28.36' datasetB: '17.37' - ranking: '930' - + ranking: '940' - nameen: efficientnet_b5 namezh: efficientnet_b5 paper: @@ -9444,8 +8504,7 @@ blocks: download: 4528 datasetA: '60.61' datasetB: '17.34' - ranking: '233' - + ranking: '941' - nameen: mobilenetv2_075 namezh: mobilenetv2_075 paper: @@ -9454,8 +8513,7 @@ blocks: download: 1816 datasetA: '48.77' datasetB: '17.26' - ranking: '495' - + ranking: '942' - nameen: coatnet_5_224 namezh: coatnet_5_224 paper: @@ -9464,8 +8522,7 @@ blocks: download: 1125 datasetA: '68.97' datasetB: '17.23' - ranking: '53' - + ranking: '943' - nameen: beit_large_patch16_384 namezh: beit_large_patch16_384 paper: @@ -9474,8 +8531,7 @@ blocks: download: 9974 datasetA: '70.63' datasetB: '17.18' - ranking: '16' - + ranking: '944' - nameen: maxvit_xlarge_tf_384 namezh: maxvit_xlarge_tf_384 paper: @@ -9484,8 +8540,7 @@ blocks: download: 3540 datasetA: '50.34' datasetB: '17.15' - ranking: '461' - + ranking: '945' - nameen: maxxvit_rmlp_tiny_rw_256 namezh: maxxvit_rmlp_tiny_rw_256 paper: @@ -9494,8 +8549,7 @@ blocks: download: 9245 datasetA: '50.27' datasetB: '17.12' - ranking: '465' - + ranking: '946' - nameen: tf_mobilenetv3_large_100 namezh: tf_mobilenetv3_large_100 paper: @@ -9504,8 +8558,7 @@ blocks: download: 2764 datasetA: '30.16' datasetB: '17.1' - ranking: '896' - + ranking: '947' - nameen: resnet200 namezh: resnet200 paper: @@ -9514,8 +8567,7 @@ blocks: download: 2204 datasetA: '37.41' datasetB: '17.09' - ranking: '728' - + ranking: '948' - nameen: ese_vovnet19b_slim namezh: ese_vovnet19b_slim paper: @@ -9524,8 +8576,7 @@ blocks: download: 4218 datasetA: '58.37' datasetB: '17.08' - ranking: '276' - + ranking: '949' - nameen: coatnet_2_224 namezh: coatnet_2_224 paper: @@ -9534,8 +8585,7 @@ blocks: download: 9574 datasetA: '69.06' datasetB: '17.07' - ranking: '48' - + ranking: '950' - nameen: resnet101c namezh: resnet101c paper: @@ -9544,8 +8594,7 @@ blocks: download: 8748 datasetA: '37.76' datasetB: '17.05' - ranking: '721' - + ranking: '951' - nameen: ecaresnext50t_32x4d namezh: ecaresnext50t_32x4d paper: @@ -9554,8 +8603,7 @@ blocks: download: 1113 datasetA: '61.62' datasetB: '17.04' - ranking: '207' - + ranking: '952' - nameen: vit_relpos_medium_patch16_rpn_224 namezh: vit_relpos_medium_patch16_rpn_224 paper: @@ -9564,8 +8612,7 @@ blocks: download: 4957 datasetA: '23.8' datasetB: '17.03' - ranking: '1031' - + ranking: '953' - nameen: maxxvit_rmlp_nano_rw_256 namezh: maxxvit_rmlp_nano_rw_256 paper: @@ -9574,8 +8621,7 @@ blocks: download: 5541 datasetA: '50.31' datasetB: '17.0' - ranking: '463' - + ranking: '954' - nameen: seresnext26t_32x4d namezh: seresnext26t_32x4d paper: @@ -9584,8 +8630,7 @@ blocks: download: 1691 datasetA: '33.87' datasetB: '16.99' - ranking: '811' - + ranking: '955' - nameen: mobilenetv2_140 namezh: mobilenetv2_140 paper: @@ -9594,8 +8639,7 @@ blocks: download: 8402 datasetA: '48.54' datasetB: '16.95' - ranking: '499' - + ranking: '956' - nameen: res2net50_26w_8s namezh: res2net50_26w_8s paper: @@ -9604,8 +8648,7 @@ blocks: download: 8939 datasetA: '40.62' datasetB: '16.95' - ranking: '672' - + ranking: '957' - nameen: mvitv2_base_cls namezh: mvitv2_base_cls paper: @@ -9614,8 +8657,7 @@ blocks: download: 8154 datasetA: '47.47' datasetB: '16.93' - ranking: '531' - + ranking: '958' - nameen: eca_nfnet_l2 namezh: eca_nfnet_l2 paper: @@ -9624,8 +8666,7 @@ blocks: download: 3293 datasetA: '62.27' datasetB: '16.89' - ranking: '192' - + ranking: '959' - nameen: seresnet50t namezh: seresnet50t paper: @@ -9634,8 +8675,7 @@ blocks: download: 6988 datasetA: '34.07' datasetB: '16.83' - ranking: '803' - + ranking: '960' - nameen: vit_medium_patch16_gap_256 namezh: vit_medium_patch16_gap_256 paper: @@ -9644,8 +8684,7 @@ blocks: download: 2596 datasetA: '24.82' datasetB: '16.79' - ranking: '1014' - + ranking: '961' - nameen: vit_base_patch14_reg4_dinov2 namezh: vit_base_patch14_reg4_dinov2 paper: @@ -9654,8 +8693,7 @@ blocks: download: 5022 datasetA: '28.17' datasetB: '16.73' - ranking: '936' - + ranking: '962' - nameen: deit3_medium_patch16_224 namezh: deit3_medium_patch16_224 paper: @@ -9664,8 +8702,7 @@ blocks: download: 6216 datasetA: '64.54' datasetB: '16.72' - ranking: '145' - + ranking: '963' - nameen: rexnetr_130 namezh: rexnetr_130 paper: @@ -9674,8 +8711,7 @@ blocks: download: 4008 datasetA: '35.27' datasetB: '16.72' - ranking: '775' - + ranking: '964' - nameen: mnasnet_050 namezh: mnasnet_050 paper: @@ -9684,8 +8720,7 @@ blocks: download: 9409 datasetA: '49.53' datasetB: '16.7' - ranking: '481' - + ranking: '965' - nameen: convnext_femto namezh: convnext_femto paper: @@ -9694,8 +8729,7 @@ blocks: download: 8793 datasetA: '67.84' datasetB: '16.68' - ranking: '79' - + ranking: '966' - nameen: dm_nfnet_f3 namezh: dm_nfnet_f3 paper: @@ -9704,8 +8738,7 @@ blocks: download: 4914 datasetA: '62.97' datasetB: '16.61' - ranking: '177' - + ranking: '967' - nameen: mobilevitv2_125 namezh: mobilevitv2_125 paper: @@ -9714,8 +8747,7 @@ blocks: download: 6445 datasetA: '47.66' datasetB: '16.57' - ranking: '526' - + ranking: '968' - nameen: vit_medium_patch16_reg1_gap_256 namezh: vit_medium_patch16_reg1_gap_256 paper: @@ -9724,8 +8756,7 @@ blocks: download: 9173 datasetA: '24.55' datasetB: '16.55' - ranking: '1016' - + ranking: '969' - nameen: repvgg_a2 namezh: repvgg_a2 paper: @@ -9734,8 +8765,7 @@ blocks: download: 9996 datasetA: '42.0' datasetB: '16.52' - ranking: '652' - + ranking: '970' - nameen: tf_efficientnet_b1 namezh: tf_efficientnet_b1 paper: @@ -9744,8 +8774,7 @@ blocks: download: 5897 datasetA: '31.44' datasetB: '16.44' - ranking: '864' - + ranking: '971' - nameen: seresnet33ts namezh: seresnet33ts paper: @@ -9754,8 +8783,7 @@ blocks: download: 2200 datasetA: '34.1' datasetB: '16.4' - ranking: '800' - + ranking: '972' - nameen: inception_v4 namezh: inception_v4 paper: @@ -9764,8 +8792,7 @@ blocks: download: 2825 datasetA: '53.11' datasetB: '16.29' - ranking: '396' - + ranking: '973' - nameen: davit_huge namezh: davit_huge paper: @@ -9774,8 +8801,7 @@ blocks: download: 8288 datasetA: '64.95' datasetB: '16.26' - ranking: '136' - + ranking: '974' - nameen: xcit_large_24_p16_384 namezh: xcit_large_24_p16_384 paper: @@ -9784,8 +8810,7 @@ blocks: download: 2886 datasetA: '20.99' datasetB: '16.19' - ranking: '1099' - + ranking: '975' - nameen: ecaresnet269d namezh: ecaresnet269d paper: @@ -9794,8 +8819,7 @@ blocks: download: 3797 datasetA: '61.69' datasetB: '16.13' - ranking: '204' - + ranking: '976' - nameen: tf_efficientnet_em namezh: tf_efficientnet_em paper: @@ -9804,8 +8828,7 @@ blocks: download: 9014 datasetA: '30.94' datasetB: '16.1' - ranking: '876' - + ranking: '977' - nameen: swinv2_large_window12to16_192to256 namezh: swinv2_large_window12to16_192to256 paper: @@ -9814,8 +8837,7 @@ blocks: download: 9615 datasetA: '31.78' datasetB: '16.06' - ranking: '857' - + ranking: '978' - nameen: vit_huge_patch14_224 namezh: vit_huge_patch14_224 paper: @@ -9824,8 +8846,7 @@ blocks: download: 5096 datasetA: '25.81' datasetB: '16.0' - ranking: '983' - + ranking: '979' - nameen: mobilevitv2_100 namezh: mobilevitv2_100 paper: @@ -9834,8 +8855,7 @@ blocks: download: 4492 datasetA: '47.66' datasetB: '15.98' - ranking: '525' - + ranking: '980' - nameen: mobilenet_edgetpu_100 namezh: mobilenet_edgetpu_100 paper: @@ -9844,8 +8864,7 @@ blocks: download: 9858 datasetA: '49.05' datasetB: '15.93' - ranking: '488' - + ranking: '981' - nameen: wide_resnet50_2 namezh: wide_resnet50_2 paper: @@ -9854,8 +8873,7 @@ blocks: download: 6848 datasetA: '21.48' datasetB: '15.92' - ranking: '1089' - + ranking: '982' - nameen: coat_tiny namezh: coat_tiny paper: @@ -9864,8 +8882,7 @@ blocks: download: 4899 datasetA: '69.44' datasetB: '15.89' - ranking: '43' - + ranking: '983' - nameen: cait_xxs24_384 namezh: cait_xxs24_384 paper: @@ -9874,8 +8891,7 @@ blocks: download: 8056 datasetA: '69.9' datasetB: '15.86' - ranking: '33' - + ranking: '984' - nameen: repghostnet_130 namezh: repghostnet_130 paper: @@ -9884,8 +8900,7 @@ blocks: download: 6732 datasetA: '42.17' datasetB: '15.85' - ranking: '647' - + ranking: '985' - nameen: levit_192 namezh: levit_192 paper: @@ -9894,8 +8909,7 @@ blocks: download: 5713 datasetA: '52.15' datasetB: '15.84' - ranking: '418' - + ranking: '986' - nameen: vit_base_mci_224 namezh: vit_base_mci_224 paper: @@ -9904,8 +8918,7 @@ blocks: download: 2988 datasetA: '28.31' datasetB: '15.79' - ranking: '933' - + ranking: '987' - nameen: vit_tiny_r_s16_p8_224 namezh: vit_tiny_r_s16_p8_224 paper: @@ -9914,8 +8927,7 @@ blocks: download: 8005 datasetA: '22.81' datasetB: '15.71' - ranking: '1059' - + ranking: '988' - nameen: convnext_atto namezh: convnext_atto paper: @@ -9924,8 +8936,7 @@ blocks: download: 2263 datasetA: '68.19' datasetB: '15.68' - ranking: '76' - + ranking: '989' - nameen: regnetv_064 namezh: regnetv_064 paper: @@ -9934,8 +8945,7 @@ blocks: download: 8594 datasetA: '44.97' datasetB: '15.52' - ranking: '599' - + ranking: '990' - nameen: cs3darknet_s namezh: cs3darknet_s paper: @@ -9944,8 +8954,7 @@ blocks: download: 7192 datasetA: '65.94' datasetB: '15.49' - ranking: '118' - + ranking: '991' - nameen: maxvit_rmlp_tiny_rw_256 namezh: maxvit_rmlp_tiny_rw_256 paper: @@ -9954,8 +8963,7 @@ blocks: download: 5659 datasetA: '50.91' datasetB: '15.49' - ranking: '450' - + ranking: '992' - nameen: tiny_vit_11m_224 namezh: tiny_vit_11m_224 paper: @@ -9964,8 +8972,7 @@ blocks: download: 1032 datasetA: '29.83' datasetB: '15.45' - ranking: '902' - + ranking: '993' - nameen: vit_mediumd_patch16_rope_reg1_gap_256 namezh: vit_mediumd_patch16_rope_reg1_gap_256 paper: @@ -9974,8 +8981,7 @@ blocks: download: 7580 datasetA: '24.37' datasetB: '15.43' - ranking: '1021' - + ranking: '994' - nameen: convnext_large namezh: convnext_large paper: @@ -9984,8 +8990,7 @@ blocks: download: 3415 datasetA: '67.8' datasetB: '15.4' - ranking: '81' - + ranking: '995' - nameen: mobilenetv3_large_100 namezh: mobilenetv3_large_100 paper: @@ -9994,8 +8999,7 @@ blocks: download: 2993 datasetA: '48.42' datasetB: '15.39' - ranking: '501' - + ranking: '996' - nameen: vit_large_patch16_siglip_gap_256 namezh: vit_large_patch16_siglip_gap_256 paper: @@ -10004,8 +9008,7 @@ blocks: download: 8670 datasetA: '25.19' datasetB: '15.36' - ranking: '1004' - + ranking: '997' - nameen: regnety_1280 namezh: regnety_1280 paper: @@ -10014,8 +9017,7 @@ blocks: download: 6559 datasetA: '43.25' datasetB: '15.3' - ranking: '629' - + ranking: '998' - nameen: mixnet_m namezh: mixnet_m paper: @@ -10024,8 +9026,7 @@ blocks: download: 7289 datasetA: '49.87' datasetB: '15.27' - ranking: '477' - + ranking: '999' - nameen: tresnet_v2_l namezh: tresnet_v2_l paper: @@ -10034,8 +9035,7 @@ blocks: download: 5936 datasetA: '29.31' datasetB: '15.23' - ranking: '915' - + ranking: '1000' - nameen: mobilenetv2_050 namezh: mobilenetv2_050 paper: @@ -10044,8 +9044,7 @@ blocks: download: 6166 datasetA: '48.82' datasetB: '15.17' - ranking: '494' - + ranking: '1001' - nameen: levit_conv_256d namezh: levit_conv_256d paper: @@ -10054,8 +9053,7 @@ blocks: download: 9168 datasetA: '51.7' datasetB: '15.14' - ranking: '430' - + ranking: '1002' - nameen: bat_resnext26ts namezh: bat_resnext26ts paper: @@ -10064,8 +9062,7 @@ blocks: download: 3336 datasetA: '70.72' datasetB: '15.13' - ranking: '12' - + ranking: '1003' - nameen: regnetx_120 namezh: regnetx_120 paper: @@ -10074,8 +9071,7 @@ blocks: download: 2296 datasetA: '44.39' datasetB: '15.04' - ranking: '610' - + ranking: '1004' - nameen: vit_large_patch14_clip_224 namezh: vit_large_patch14_clip_224 paper: @@ -10084,8 +9080,7 @@ blocks: download: 6976 datasetA: '25.46' datasetB: '15.03' - ranking: '993' - + ranking: '1005' - nameen: seresnext101_32x8d namezh: seresnext101_32x8d paper: @@ -10094,8 +9089,7 @@ blocks: download: 7317 datasetA: '33.79' datasetB: '14.95' - ranking: '815' - + ranking: '1006' - nameen: halonet50ts namezh: halonet50ts paper: @@ -10104,8 +9098,7 @@ blocks: download: 7221 datasetA: '54.87' datasetB: '14.93' - ranking: '355' - + ranking: '1007' - nameen: convnext_nano_ols namezh: convnext_nano_ols paper: @@ -10114,8 +9107,7 @@ blocks: download: 6409 datasetA: '67.72' datasetB: '14.8' - ranking: '84' - + ranking: '1008' - nameen: resnetv2_50d_frn namezh: resnetv2_50d_frn paper: @@ -10124,8 +9116,7 @@ blocks: download: 6796 datasetA: '36.42' datasetB: '14.77' - ranking: '748' - + ranking: '1009' - nameen: resnest50d_1s4x24d namezh: resnest50d_1s4x24d paper: @@ -10134,8 +9125,7 @@ blocks: download: 8549 datasetA: '39.64' datasetB: '14.75' - ranking: '685' - + ranking: '1010' - nameen: beitv2_large_patch16_224 namezh: beitv2_large_patch16_224 paper: @@ -10144,8 +9134,7 @@ blocks: download: 7756 datasetA: '70.53' datasetB: '14.67' - ranking: '19' - + ranking: '1011' - nameen: maxvit_rmlp_small_rw_224 namezh: maxvit_rmlp_small_rw_224 paper: @@ -10154,8 +9143,7 @@ blocks: download: 7878 datasetA: '51.01' datasetB: '14.63' - ranking: '448' - + ranking: '1012' - nameen: tresnet_l namezh: tresnet_l paper: @@ -10164,8 +9152,7 @@ blocks: download: 7918 datasetA: '29.39' datasetB: '14.63' - ranking: '913' - + ranking: '1013' - nameen: poolformerv2_s24 namezh: poolformerv2_s24 paper: @@ -10174,8 +9161,7 @@ blocks: download: 7830 datasetA: '45.29' datasetB: '14.62' - ranking: '589' - + ranking: '1014' - nameen: maxvit_base_tf_512 namezh: maxvit_base_tf_512 paper: @@ -10184,8 +9170,7 @@ blocks: download: 2573 datasetA: '51.34' datasetB: '14.61' - ranking: '438' - + ranking: '1015' - nameen: beit_base_patch16_384 namezh: beit_base_patch16_384 paper: @@ -10194,8 +9179,7 @@ blocks: download: 4529 datasetA: '70.67' datasetB: '14.6' - ranking: '14' - + ranking: '1016' - nameen: tf_mixnet_s namezh: tf_mixnet_s paper: @@ -10204,8 +9188,7 @@ blocks: download: 1013 datasetA: '30.17' datasetB: '14.53' - ranking: '894' - + ranking: '1017' - nameen: coat_lite_medium_384 namezh: coat_lite_medium_384 paper: @@ -10214,8 +9197,7 @@ blocks: download: 3986 datasetA: '69.64' datasetB: '14.49' - ranking: '37' - + ranking: '1018' - nameen: vitamin_large_256 namezh: vitamin_large_256 paper: @@ -10224,8 +9206,7 @@ blocks: download: 9455 datasetA: '22.51' datasetB: '14.43' - ranking: '1069' - + ranking: '1019' - nameen: vit_large_patch16_224 namezh: vit_large_patch16_224 paper: @@ -10234,8 +9215,7 @@ blocks: download: 1437 datasetA: '25.33' datasetB: '14.4' - ranking: '1000' - + ranking: '1020' - nameen: fastvit_sa24 namezh: fastvit_sa24 paper: @@ -10244,8 +9224,7 @@ blocks: download: 2057 datasetA: '57.03' datasetB: '14.3' - ranking: '306' - + ranking: '1021' - nameen: eva02_enormous_patch14_clip_224 namezh: eva02_enormous_patch14_clip_224 paper: @@ -10254,8 +9233,7 @@ blocks: download: 2678 datasetA: '58.01' datasetB: '14.27' - ranking: '285' - + ranking: '1022' - nameen: focalnet_small_lrf namezh: focalnet_small_lrf paper: @@ -10264,8 +9242,7 @@ blocks: download: 7372 datasetA: '56.55' datasetB: '14.27' - ranking: '323' - + ranking: '1023' - nameen: resnet10t namezh: resnet10t paper: @@ -10274,8 +9251,7 @@ blocks: download: 8775 datasetA: '39.43' datasetB: '14.27' - ranking: '690' - + ranking: '1024' - nameen: visformer_tiny namezh: visformer_tiny paper: @@ -10284,8 +9260,7 @@ blocks: download: 9773 datasetA: '28.34' datasetB: '14.25' - ranking: '932' - + ranking: '1025' - nameen: resnetrs350 namezh: resnetrs350 paper: @@ -10294,8 +9269,7 @@ blocks: download: 8495 datasetA: '36.64' datasetB: '14.19' - ranking: '743' - + ranking: '1026' - nameen: regnety_320 namezh: regnety_320 paper: @@ -10304,8 +9278,7 @@ blocks: download: 5109 datasetA: '43.36' datasetB: '14.16' - ranking: '627' - + ranking: '1027' - nameen: regnetx_160 namezh: regnetx_160 paper: @@ -10314,8 +9287,7 @@ blocks: download: 5256 datasetA: '43.98' datasetB: '14.07' - ranking: '611' - + ranking: '1028' - nameen: levit_conv_512_s8 namezh: levit_conv_512_s8 paper: @@ -10324,8 +9296,7 @@ blocks: download: 6790 datasetA: '51.62' datasetB: '14.01' - ranking: '434' - + ranking: '1029' - nameen: gcvit_tiny namezh: gcvit_tiny paper: @@ -10334,8 +9305,7 @@ blocks: download: 4031 datasetA: '55.55' datasetB: '13.97' - ranking: '336' - + ranking: '1030' - nameen: efficientnet_h_b5 namezh: efficientnet_h_b5 paper: @@ -10344,8 +9314,7 @@ blocks: download: 3350 datasetA: '59.91' datasetB: '13.91' - ranking: '246' - + ranking: '1031' - nameen: resnet101_clip namezh: resnet101_clip paper: @@ -10354,8 +9323,7 @@ blocks: download: 6925 datasetA: '37.8' datasetB: '13.66' - ranking: '719' - + ranking: '1032' - nameen: vitamin_large2_336 namezh: vitamin_large2_336 paper: @@ -10364,8 +9332,7 @@ blocks: download: 5699 datasetA: '22.65' datasetB: '13.62' - ranking: '1066' - + ranking: '1033' - nameen: sequencer2d_s namezh: sequencer2d_s paper: @@ -10374,8 +9341,7 @@ blocks: download: 7368 datasetA: '34.24' datasetB: '13.6' - ranking: '798' - + ranking: '1034' - nameen: seresnet152 namezh: seresnet152 paper: @@ -10384,8 +9350,7 @@ blocks: download: 7895 datasetA: '34.05' datasetB: '13.57' - ranking: '805' - + ranking: '1035' - nameen: repvit_m1_1 namezh: repvit_m1_1 paper: @@ -10394,8 +9359,7 @@ blocks: download: 7066 datasetA: '41.18' datasetB: '13.56' - ranking: '664' - + ranking: '1036' - nameen: resnetaa34d namezh: resnetaa34d paper: @@ -10404,8 +9368,7 @@ blocks: download: 1947 datasetA: '37.37' datasetB: '13.51' - ranking: '730' - + ranking: '1037' - nameen: mobilenetv4_conv_small namezh: mobilenetv4_conv_small paper: @@ -10414,8 +9377,7 @@ blocks: download: 4866 datasetA: '48.08' datasetB: '13.4' - ranking: '510' - + ranking: '1038' - nameen: hgnetv2_b4 namezh: hgnetv2_b4 paper: @@ -10424,8 +9386,7 @@ blocks: download: 3639 datasetA: '54.3' datasetB: '13.35' - ranking: '371' - + ranking: '1039' - nameen: efficientvit_m5 namezh: efficientvit_m5 paper: @@ -10434,8 +9395,7 @@ blocks: download: 4764 datasetA: '58.44' datasetB: '13.34' - ranking: '274' - + ranking: '1040' - nameen: regnety_040 namezh: regnety_040 paper: @@ -10444,8 +9404,7 @@ blocks: download: 3985 datasetA: '43.71' datasetB: '13.32' - ranking: '620' - + ranking: '1041' - nameen: levit_256d namezh: levit_256d paper: @@ -10454,8 +9413,7 @@ blocks: download: 3262 datasetA: '52.12' datasetB: '13.29' - ranking: '420' - + ranking: '1042' - nameen: maxvit_tiny_tf_224 namezh: maxvit_tiny_tf_224 paper: @@ -10464,8 +9422,7 @@ blocks: download: 1678 datasetA: '50.46' datasetB: '13.27' - ranking: '457' - + ranking: '1043' - nameen: tf_efficientnetv2_b3 namezh: tf_efficientnetv2_b3 paper: @@ -10474,8 +9431,7 @@ blocks: download: 4801 datasetA: '30.49' datasetB: '13.25' - ranking: '887' - + ranking: '1044' - nameen: ecaresnet101d_pruned namezh: ecaresnet101d_pruned paper: @@ -10484,8 +9440,7 @@ blocks: download: 8213 datasetA: '61.81' datasetB: '13.24' - ranking: '202' - + ranking: '1045' - nameen: levit_128 namezh: levit_128 paper: @@ -10494,8 +9449,7 @@ blocks: download: 4163 datasetA: '52.27' datasetB: '13.22' - ranking: '416' - + ranking: '1046' - nameen: volo_d5_448 namezh: volo_d5_448 paper: @@ -10504,8 +9458,7 @@ blocks: download: 4554 datasetA: '21.66' datasetB: '13.21' - ranking: '1085' - + ranking: '1047' - nameen: hgnetv2_b3 namezh: hgnetv2_b3 paper: @@ -10514,8 +9467,7 @@ blocks: download: 3848 datasetA: '54.33' datasetB: '13.15' - ranking: '370' - + ranking: '1048' - nameen: resnet50_clip namezh: resnet50_clip paper: @@ -10524,8 +9476,7 @@ blocks: download: 9260 datasetA: '38.8' datasetB: '13.09' - ranking: '702' - + ranking: '1049' - nameen: resnet50_mlp namezh: resnet50_mlp paper: @@ -10534,8 +9485,7 @@ blocks: download: 3172 datasetA: '38.53' datasetB: '13.04' - ranking: '705' - + ranking: '1050' - nameen: semnasnet_050 namezh: semnasnet_050 paper: @@ -10544,8 +9494,7 @@ blocks: download: 5084 datasetA: '34.54' datasetB: '13.03' - ranking: '791' - + ranking: '1051' - nameen: maxvit_tiny_rw_256 namezh: maxvit_tiny_rw_256 paper: @@ -10554,8 +9503,7 @@ blocks: download: 7750 datasetA: '50.62' datasetB: '12.83' - ranking: '456' - + ranking: '1052' - nameen: gmixer_24_224 namezh: gmixer_24_224 paper: @@ -10564,8 +9512,7 @@ blocks: download: 9398 datasetA: '55.0' datasetB: '12.82' - ranking: '349' - + ranking: '1053' - nameen: tf_efficientnet_es namezh: tf_efficientnet_es paper: @@ -10574,8 +9521,7 @@ blocks: download: 4534 datasetA: '30.89' datasetB: '12.77' - ranking: '877' - + ranking: '1054' - nameen: regnety_002 namezh: regnety_002 paper: @@ -10584,8 +9530,7 @@ blocks: download: 7349 datasetA: '43.87' datasetB: '12.74' - ranking: '613' - + ranking: '1055' - nameen: deit_base_patch16_224 namezh: deit_base_patch16_224 paper: @@ -10594,8 +9539,7 @@ blocks: download: 2861 datasetA: '64.34' datasetB: '12.71' - ranking: '150' - + ranking: '1056' - nameen: vgg16_bn namezh: vgg16_bn paper: @@ -10604,8 +9548,7 @@ blocks: download: 7302 datasetA: '28.4' datasetB: '12.67' - ranking: '928' - + ranking: '1057' - nameen: mobilevitv2_175 namezh: mobilevitv2_175 paper: @@ -10614,8 +9557,7 @@ blocks: download: 9949 datasetA: '47.59' datasetB: '12.65' - ranking: '528' - + ranking: '1058' - nameen: fastvit_sa12 namezh: fastvit_sa12 paper: @@ -10624,8 +9566,7 @@ blocks: download: 4306 datasetA: '57.03' datasetB: '12.59' - ranking: '305' - + ranking: '1059' - nameen: vitamin_large2_384 namezh: vitamin_large2_384 paper: @@ -10634,8 +9575,7 @@ blocks: download: 4333 datasetA: '22.61' datasetB: '12.44' - ranking: '1067' - + ranking: '1060' - nameen: eva02_large_patch14_224 namezh: eva02_large_patch14_224 paper: @@ -10644,8 +9584,7 @@ blocks: download: 3865 datasetA: '58.0' datasetB: '12.38' - ranking: '286' - + ranking: '1061' - nameen: resnet26d namezh: resnet26d paper: @@ -10654,8 +9593,7 @@ blocks: download: 9671 datasetA: '39.19' datasetB: '12.33' - ranking: '695' - + ranking: '1062' - nameen: nfnet_f0 namezh: nfnet_f0 paper: @@ -10664,8 +9602,7 @@ blocks: download: 5017 datasetA: '46.25' datasetB: '12.24' - ranking: '563' - + ranking: '1063' - nameen: vit_small_resnet50d_s16_224 namezh: vit_small_resnet50d_s16_224 paper: @@ -10674,8 +9611,7 @@ blocks: download: 7797 datasetA: '23.49' datasetB: '12.19' - ranking: '1046' - + ranking: '1064' - nameen: selecsls42 namezh: selecsls42 paper: @@ -10684,8 +9620,7 @@ blocks: download: 8576 datasetA: '34.8' datasetB: '12.17' - ranking: '786' - + ranking: '1065' - nameen: deit_small_distilled_patch16_224 namezh: deit_small_distilled_patch16_224 paper: @@ -10694,8 +9629,7 @@ blocks: download: 1616 datasetA: '64.3' datasetB: '12.14' - ranking: '152' - + ranking: '1066' - nameen: regnety_2560 namezh: regnety_2560 paper: @@ -10704,8 +9638,7 @@ blocks: download: 3177 datasetA: '43.21' datasetB: '12.07' - ranking: '630' - + ranking: '1067' - nameen: nf_resnet50 namezh: nf_resnet50 paper: @@ -10714,8 +9647,7 @@ blocks: download: 6557 datasetA: '46.56' datasetB: '11.95' - ranking: '558' - + ranking: '1068' - nameen: tf_efficientnet_lite3 namezh: tf_efficientnet_lite3 paper: @@ -10724,8 +9656,7 @@ blocks: download: 5912 datasetA: '30.65' datasetB: '11.87' - ranking: '882' - + ranking: '1069' - nameen: hgnet_tiny namezh: hgnet_tiny paper: @@ -10734,8 +9665,7 @@ blocks: download: 6546 datasetA: '54.49' datasetB: '11.85' - ranking: '366' - + ranking: '1070' - nameen: swin_small_patch4_window7_224 namezh: swin_small_patch4_window7_224 paper: @@ -10744,8 +9674,7 @@ blocks: download: 1158 datasetA: '32.72' datasetB: '11.82' - ranking: '833' - + ranking: '1071' - nameen: densenet201 namezh: densenet201 paper: @@ -10754,8 +9683,7 @@ blocks: download: 3099 datasetA: '64.02' datasetB: '11.78' - ranking: '159' - + ranking: '1072' - nameen: regnetx_008 namezh: regnetx_008 paper: @@ -10764,8 +9692,7 @@ blocks: download: 4393 datasetA: '44.68' datasetB: '11.78' - ranking: '604' - + ranking: '1073' - nameen: gcvit_xtiny namezh: gcvit_xtiny paper: @@ -10774,8 +9701,7 @@ blocks: download: 2850 datasetA: '55.52' datasetB: '11.76' - ranking: '337' - + ranking: '1074' - nameen: hardcorenas_a namezh: hardcorenas_a paper: @@ -10784,8 +9710,7 @@ blocks: download: 2535 datasetA: '54.73' datasetB: '11.74' - ranking: '358' - + ranking: '1075' - nameen: regnety_006 namezh: regnety_006 paper: @@ -10794,8 +9719,7 @@ blocks: download: 2476 datasetA: '43.82' datasetB: '11.73' - ranking: '615' - + ranking: '1076' - nameen: mobilevitv2_150 namezh: mobilevitv2_150 paper: @@ -10804,8 +9728,7 @@ blocks: download: 5748 datasetA: '47.64' datasetB: '11.67' - ranking: '527' - + ranking: '1077' - nameen: efficientvit_b0 namezh: efficientvit_b0 paper: @@ -10814,8 +9737,7 @@ blocks: download: 7480 datasetA: '58.99' datasetB: '11.66' - ranking: '262' - + ranking: '1078' - nameen: ese_vovnet57b namezh: ese_vovnet57b paper: @@ -10824,8 +9746,7 @@ blocks: download: 6805 datasetA: '58.31' datasetB: '11.66' - ranking: '280' - + ranking: '1079' - nameen: nest_tiny namezh: nest_tiny paper: @@ -10834,8 +9755,7 @@ blocks: download: 9477 datasetA: '47.04' datasetB: '11.66' - ranking: '543' - + ranking: '1080' - nameen: inception_next_base namezh: inception_next_base paper: @@ -10844,8 +9764,7 @@ blocks: download: 3443 datasetA: '53.31' datasetB: '11.63' - ranking: '391' - + ranking: '1081' - nameen: coatnet_rmlp_1_rw2_224 namezh: coatnet_rmlp_1_rw2_224 paper: @@ -10854,8 +9773,7 @@ blocks: download: 6180 datasetA: '68.74' datasetB: '11.6' - ranking: '59' - + ranking: '1082' - nameen: resnetrs270 namezh: resnetrs270 paper: @@ -10864,8 +9782,7 @@ blocks: download: 8654 datasetA: '36.64' datasetB: '11.58' - ranking: '742' - + ranking: '1083' - nameen: gmlp_ti16_224 namezh: gmlp_ti16_224 paper: @@ -10874,8 +9791,7 @@ blocks: download: 2662 datasetA: '54.92' datasetB: '11.56' - ranking: '352' - + ranking: '1084' - nameen: repvgg_b1g4 namezh: repvgg_b1g4 paper: @@ -10884,8 +9800,7 @@ blocks: download: 5354 datasetA: '41.78' datasetB: '11.55' - ranking: '655' - + ranking: '1085' - nameen: efficientvit_b1 namezh: efficientvit_b1 paper: @@ -10894,8 +9809,7 @@ blocks: download: 5907 datasetA: '58.98' datasetB: '11.52' - ranking: '263' - + ranking: '1086' - nameen: repvgg_b0 namezh: repvgg_b0 paper: @@ -10904,8 +9818,7 @@ blocks: download: 5144 datasetA: '41.97' datasetB: '11.49' - ranking: '653' - + ranking: '1087' - nameen: resnet101_clip_gap namezh: resnet101_clip_gap paper: @@ -10914,8 +9827,7 @@ blocks: download: 2854 datasetA: '37.76' datasetB: '11.49' - ranking: '720' - + ranking: '1088' - nameen: vit_base_patch16_siglip_gap_512 namezh: vit_base_patch16_siglip_gap_512 paper: @@ -10924,8 +9836,7 @@ blocks: download: 2466 datasetA: '27.24' datasetB: '11.37' - ranking: '956' - + ranking: '1089' - nameen: tf_efficientnet_lite2 namezh: tf_efficientnet_lite2 paper: @@ -10934,8 +9845,7 @@ blocks: download: 1691 datasetA: '30.71' datasetB: '11.32' - ranking: '881' - + ranking: '1090' - nameen: poolformer_s36 namezh: poolformer_s36 paper: @@ -10944,8 +9854,7 @@ blocks: download: 3471 datasetA: '45.51' datasetB: '11.3' - ranking: '585' - + ranking: '1091' - nameen: tf_efficientnetv2_b2 namezh: tf_efficientnetv2_b2 paper: @@ -10954,8 +9863,7 @@ blocks: download: 8865 datasetA: '30.52' datasetB: '11.27' - ranking: '886' - + ranking: '1092' - nameen: efficientnet_b3_pruned namezh: efficientnet_b3_pruned paper: @@ -10964,8 +9872,7 @@ blocks: download: 4104 datasetA: '60.65' datasetB: '11.25' - ranking: '231' - + ranking: '1093' - nameen: seresnet101 namezh: seresnet101 paper: @@ -10974,8 +9881,7 @@ blocks: download: 1294 datasetA: '34.06' datasetB: '11.12' - ranking: '804' - + ranking: '1094' - nameen: darknet21 namezh: darknet21 paper: @@ -10984,8 +9890,7 @@ blocks: download: 1252 datasetA: '65.36' datasetB: '11.11' - ranking: '131' - + ranking: '1095' - nameen: dpn107 namezh: dpn107 paper: @@ -10994,8 +9899,7 @@ blocks: download: 5076 datasetA: '62.53' datasetB: '11.05' - ranking: '186' - + ranking: '1096' - nameen: deit_tiny_distilled_patch16_224 namezh: deit_tiny_distilled_patch16_224 paper: @@ -11004,8 +9908,7 @@ blocks: download: 5998 datasetA: '64.15' datasetB: '10.91' - ranking: '154' - + ranking: '1097' - nameen: densenet121 namezh: densenet121 paper: @@ -11014,8 +9917,7 @@ blocks: download: 8808 datasetA: '64.12' datasetB: '10.91' - ranking: '156' - + ranking: '1098' - nameen: nf_resnet101 namezh: nf_resnet101 paper: @@ -11024,8 +9926,7 @@ blocks: download: 2736 datasetA: '46.55' datasetB: '10.88' - ranking: '559' - + ranking: '1099' - nameen: vit_large_patch32_224 namezh: vit_large_patch32_224 paper: @@ -11034,8 +9935,7 @@ blocks: download: 4593 datasetA: '25.09' datasetB: '10.85' - ranking: '1006' - + ranking: '1100' - nameen: vgg13 namezh: vgg13 paper: @@ -11044,8 +9944,7 @@ blocks: download: 2088 datasetA: '28.75' datasetB: '10.83' - ranking: '925' - + ranking: '1101' - nameen: xception41 namezh: xception41 paper: @@ -11054,8 +9953,7 @@ blocks: download: 5290 datasetA: '21.46' datasetB: '10.82' - ranking: '1091' - + ranking: '1102' - nameen: vit_relpos_base_patch16_224 namezh: vit_relpos_base_patch16_224 paper: @@ -11064,8 +9962,7 @@ blocks: download: 9287 datasetA: '24.23' datasetB: '10.76' - ranking: '1023' - + ranking: '1103' - nameen: rexnetr_100 namezh: rexnetr_100 paper: @@ -11074,8 +9971,7 @@ blocks: download: 1495 datasetA: '35.29' datasetB: '10.74' - ranking: '774' - + ranking: '1104' - nameen: swin_base_patch4_window7_224 namezh: swin_base_patch4_window7_224 paper: @@ -11084,8 +9980,7 @@ blocks: download: 7626 datasetA: '33.27' datasetB: '10.74' - ranking: '826' - + ranking: '1105' - nameen: seresnet34 namezh: seresnet34 paper: @@ -11094,8 +9989,7 @@ blocks: download: 2141 datasetA: '34.09' datasetB: '10.63' - ranking: '801' - + ranking: '1106' - nameen: resnetrs152 namezh: resnetrs152 paper: @@ -11104,8 +9998,7 @@ blocks: download: 8900 datasetA: '36.75' datasetB: '10.62' - ranking: '740' - + ranking: '1107' - nameen: xcit_tiny_24_p16_38 namezh: xcit_tiny_24_p16_38 paper: @@ -11114,8 +10007,7 @@ blocks: download: 6745 datasetA: '20.13' datasetB: '10.62' - ranking: '1123' - - nameen: vit_base_patch16_siglip_384 + ranking: '1108' - nameen: vit_base_patch16_siglip_384 namezh: vit_base_patch16_siglip_384 paper: text: 'https://huggingface.co/docs/timm/index' @@ -11123,8 +10015,7 @@ blocks: download: 7773 datasetA: '27.56' datasetB: '10.58' - ranking: '951' - + ranking: '1109' - nameen: resnext101_32x16d namezh: resnext101_32x16d paper: @@ -11133,8 +10024,7 @@ blocks: download: 7955 datasetA: '35.55' datasetB: '10.57' - ranking: '766' - + ranking: '1110' - nameen: poolformerv2_m36 namezh: poolformerv2_m36 paper: @@ -11143,8 +10033,7 @@ blocks: download: 7238 datasetA: '45.5' datasetB: '10.56' - ranking: '586' - + ranking: '1111' - nameen: resnetv2_152 namezh: resnetv2_152 paper: @@ -11153,8 +10042,7 @@ blocks: download: 3988 datasetA: '36.03' datasetB: '10.49' - ranking: '757' - + ranking: '1112' - nameen: resnetv2_50x3_bit namezh: resnetv2_50x3_bit paper: @@ -11163,8 +10051,7 @@ blocks: download: 7781 datasetA: '36.24' datasetB: '10.45' - ranking: '752' - + ranking: '1113' - nameen: tf_efficientnet_cc_b0_4e namezh: tf_efficientnet_cc_b0_4e paper: @@ -11173,8 +10060,7 @@ blocks: download: 4184 datasetA: '31.12' datasetB: '10.34' - ranking: '872' - + ranking: '1114' - nameen: regnetz_005 namezh: regnetz_005 paper: @@ -11183,8 +10069,7 @@ blocks: download: 3327 datasetA: '43.18' datasetB: '10.28' - ranking: '631' - + ranking: '1115' - nameen: volo_d5_224 namezh: volo_d5_224 paper: @@ -11193,8 +10078,7 @@ blocks: download: 1672 datasetA: '21.71' datasetB: '10.26' - ranking: '1084' - + ranking: '1116' - nameen: gmixer_12_224 namezh: gmixer_12_224 paper: @@ -11203,8 +10087,7 @@ blocks: download: 3921 datasetA: '55.04' datasetB: '10.16' - ranking: '348' - + ranking: '1117' - nameen: resnext101_32x32d namezh: resnext101_32x32d paper: @@ -11213,8 +10096,7 @@ blocks: download: 2023 datasetA: '35.51' datasetB: '10.15' - ranking: '767' - + ranking: '1118' - nameen: swinv2_small_window16_256 namezh: swinv2_small_window16_256 paper: @@ -11223,8 +10105,7 @@ blocks: download: 4088 datasetA: '31.55' datasetB: '10.14' - ranking: '860' - + ranking: '1119' - nameen: tinynet_d namezh: tinynet_d paper: @@ -11233,8 +10114,7 @@ blocks: download: 6264 datasetA: '29.58' datasetB: '10.1' - ranking: '909' - + ranking: '1120' - nameen: vit_base_patch16_siglip_512 namezh: vit_base_patch16_siglip_512 paper: @@ -11243,8 +10123,7 @@ blocks: download: 9006 datasetA: '27.54' datasetB: '10.09' - ranking: '952' - + ranking: '1121' - nameen: swinv2_large_window12_192 namezh: swinv2_large_window12_192 paper: @@ -11253,8 +10132,7 @@ blocks: download: 3780 datasetA: '31.8' datasetB: '10.06' - ranking: '856' - + ranking: '1122' - nameen: levit_384_s8 namezh: levit_384_s8 paper: @@ -11263,8 +10141,7 @@ blocks: download: 6166 datasetA: '52.03' datasetB: '10.04' - ranking: '422' - + ranking: '1123' - titlezh: 目标检测