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[BMVC2023] This is the official repo for Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment (BMVC2023)

License: MIT License

Python 95.34% C++ 0.96% Cuda 3.49% Shell 0.18% CMake 0.03%
bmvc2023 conference-paper domain-adaptation domain-generalization object-detection semi-supervised-learning vision-language-model

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cddmsl's Issues

problem about weights loading

Thanks for your great work! But there are still some problems I dont unstand.
There is 'p = self.cfg.MODEL.PRE_TRAINED_RCLIP_PATH' in train_loop.py, so what PRE_TRAINED_RCLIP_PATH is? Does it refers to 'MODEL.WEIGHTS' in faster_rcnn_city.sh?

Questions on the training of v2l.

Very nice work! One question is that, according to the paper, ClipCAP is pre-trained on COCO-captions using frozen RegionCLIP. However, there may exist domain gaps between COCO images and the datasets used in the paper, especially those stylized images. Does the gaps effect the pre-trained ClipCAP? Besides, it would be best to provide the complete configuration and the related code on the the training of ClipCAP with RegionCLIP.

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