Hi, thanks for providing the source codes and models.
When I tried to reproduce the main results about DetPro, I follow the instructions in README. I got warnings in loading pretrained models and the results are relatively low.
Warnings: The model and loaded state dict do not match exactly. unexpected key in source state_dict: roi_head.clip_model.input_resolution, roi_head.clip_model.context_length, roi_head.clip_model.vocab_size.
Results: APr:0.172 APc:0.219 APf:0.258' for detection and APr:0.168 APc:0.205 APf:0.234' for segmentation.
Hi, thanks for providing the source codes and models. When I tried to reproduce the main results about DetPro, I follow the instructions in README. I got warnings in loading pretrained models and the results are relatively low.
Warnings: The model and loaded state dict do not match exactly. unexpected key in source state_dict: roi_head.clip_model.input_resolution, roi_head.clip_model.context_length, roi_head.clip_model.vocab_size.
Results: APr:0.172 APc:0.219 APf:0.258' for detection and APr:0.168 APc:0.205 APf:0.234' for segmentation.
Is there anything wrong?