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View Code? Open in Web Editor NEW[BMVC2023] This is the official repo for Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment (BMVC2023)
License: MIT License
[BMVC2023] This is the official repo for Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment (BMVC2023)
License: MIT License
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.
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?
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