siyueyu / dcfm Goto Github PK
View Code? Open in Web Editor NEWofficial repository for "Democracy Does Matter: Comprehensive Feature Mining for Co-salient Object Detection" --accepted by CVPR2022
official repository for "Democracy Does Matter: Comprehensive Feature Mining for Co-salient Object Detection" --accepted by CVPR2022
It seems ```python train.py ''' cannot achieve the performance of paper. It there any other trick?
Thank for your nice work. I would like to know how to visualize the response map, like figure 1.Thank you very much.
请问更换backbone后为什么梯度值为None?requires_grad是True,更换后没办法训练了,精度一直在0.44
Thanks for your work.
But the SC Loss seems not to converge based on the related code. Can the code available achieve comparable performance to that in paper?
How to regulate model training? Do you use any validation dataset to ensure that the trained model does not overfits?
Hi, I am really interested in your work.
While studying your code, I got a question in here:
Line 169 in 05800b6
I don't really get why that line is necessary.
I would appreciate if you give me any insights!
Thank you
Thanks for the great job!
When are you going to push your codes?
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