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https://github.com/hnuzhy/SSDA-YOLO
Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
https://github.com/hnuzhy/SSDA-YOLO
domain-adaptation image-style-transfer knowledge-distillation object-detection transfer-learning yolov5
Last synced: 4 months ago
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Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
- Host: GitHub
- URL: https://github.com/hnuzhy/SSDA-YOLO
- Owner: hnuzhy
- Created: 2021-12-23T08:44:19.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2023-04-22T07:11:14.000Z (almost 2 years ago)
- Last Synced: 2024-08-01T03:41:36.368Z (7 months ago)
- Topics: domain-adaptation, image-style-transfer, knowledge-distillation, object-detection, transfer-learning, yolov5
- Language: Python
- Homepage:
- Size: 11.9 MB
- Stars: 141
- Watchers: 1
- Forks: 18
- Open Issues: 17
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Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
- awesome-yolo-object-detection - SSDA-YOLO - YOLO?style=social"/> : Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection". (**[Computer Vision and Image Understanding, 2023](https://www.sciencedirect.com/science/article/abs/pii/S1077314223000292)**). (Applications)
- awesome-yolo-object-detection - SSDA-YOLO - YOLO?style=social"/> : Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection". (**[Computer Vision and Image Understanding, 2023](https://www.sciencedirect.com/science/article/abs/pii/S1077314223000292)**). (Applications)