A novel lightweight monocular depth estimation method
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Nov 17, 2025 - Python
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pseudo-label-training
Here are 9 public repositories matching this topic...
Research paper-Enhancing action recognition with precondition and effect
machine-learning computer-vision deep-learning annotations transfer-learning precondition effect action-recognition super-class pseudo-labeling action-prediction action-category pseudo-label-training
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Jan 26, 2022
The main objective of this repository is to become familiar with the task of Domain Adaptation applied to the Real-time Semantic Segmentation networks.
machine-learning real-time deep-learning cnn discriminator image-segmentation unsupervised-learning teacher-student adversarial-learning unsupervised-machine-learning domain-adaptation pythorch pseudo-label pseudo-label-training
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Feb 20, 2023 - Python
The official implementation for the paper, “Clustering Method for Tabular Data Based on Pretrained Foundation Models with Synthetic Data.”
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Dec 3, 2025 - Python
A PyTorch implementation of Google Research's Noisy Student Training. Applied on training a series of ResNets on Food101 image classification dataset
deep-learning self-training image-classification residual-networks stochastic-depth pseudo-label-training
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Oct 10, 2023 - Python
This repo contains the official implementation of ProMSC, a novel semi-supervised framework for defect segmentation under limited annotations. It features cross-sample prototype matching and multiscale spatial correlation consistency, achieving state-of-the-art results on multiple industrial defect datasets.
automation prototype semi-supervised-learning intelligent-systems defect-detection industrial-ai spatial-correlations consistency-regularization pseudo-label-training defect-segmentation intelligent-machine-vision-systems
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Jul 3, 2026 - Python
A GCN framework for few-shot learning with the addition of pseudo-label-training
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Aug 20, 2022 - Python
implementation of EXPLOR: extrapolatory pseudo-label matching for OOD uncertainty-based rejection in ligand-based virtual screening and drug discovery. ACM BCB 2026.
cheminformatics drug-discovery chemoinformatics uncertainty-estimation virtual-screening ood-generalization out-of-distribution-generalization pseudo-label-training drug-discovery-ai
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May 25, 2026 - Jupyter Notebook
Semi-Supervised Learning with Pseudo-Labeling
computer-vision pytorch semi-supervised-learning cifar-10 pseudo-labeling pytorch-implementation pseudo-label densenet121 pytorch-lightning cifar-10-dataset pseudo-label-training
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Oct 26, 2024 - Jupyter Notebook
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