lmy98129/VLPD
Official Code of CVPR'23 Paper "VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision"
This project helps computer vision researchers and engineers develop better pedestrian detection systems for real-world scenarios. It takes in images or video frames and outputs bounding box detections for pedestrians, even in challenging conditions like small scale or heavy occlusion. Researchers working on autonomous driving, surveillance, or smart city applications would find this useful.
No commits in the last 6 months.
Use this if you need to develop or evaluate advanced pedestrian detection models that leverage contextual information for improved accuracy.
Not ideal if you are looking for a plug-and-play pedestrian detection tool without needing to dive into research-level model training and evaluation.
Stars
22
Forks
5
Language
Python
License
MIT
Category
Last pushed
Apr 21, 2024
Commits (30d)
0
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