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Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

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Thanks for your work. How to replace the ground_truth annotation in PASCAL VOC 2012 with the generated pseudo_mask?

The set generation of average masks and the composition of M are in persudo-mask, sege is a separate semantic segmentation model

Thanks for the interesting work. The paper says that \[X; M_t\] are concatenated to train the classifier. Could you point out where they are concatenated in the code? I am...

Hi~ Thanks for your great codes! The model SEAM+CONTA, uses deeplabv2 with resnet101 as the final segmentation network, but the SEAM uses deeplabv1 with resnet38, is this comparison fair?

When attempting to execute main.py a pickling error is returned and after tracing it back it is `state_dict = torch.load(CONFIG.MODEL.INIT_MODEL)` line that is throwing the error. Also, the INIT_MODEL in...

Hi, I wonder whether you could explain why W1 and W2 are learnable parameters since there is no objective function specified in step 4. Thanks

I'm confused about your paper's use of the term "round" and your training scheme in general. Is "round" the same thing as your term t? Am I correct in understanding...

Thanks for your excellent work. I met some troubles when I try to write scripts to use the "m_t.py", which is the implementation of the Eq.(3) in your article. (1)...