CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation (ICRA2021)
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Updated
Sep 2, 2026 - Python
CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation (ICRA2021)
A semantic segmentation model for urban scene understanding using DashCam footage and the CityScape dataset.
Open-YOLO 3D workspace for open-vocabulary instance segmentation on urban point clouds.
ITU-Campus3D: A Campus-Scale Urban Mobile Mapping Benchmark for Semantic Segmentation
Zero-shot scene classification for urban driving using OpenAI’s CLIP model and prompt engineering.
A curated map of open-vocabulary 3D perception projects for urban point clouds.
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