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View Code? Open in Web Editor NEW[CVPR2024] Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
[CVPR2024] Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
The train_coco.py file only contains the infer code. It seems like the wrong file was uploaded.
Hello! Thank you for your interest in our work on WSSS and for your kind words.
When I read your paper, I became curious about Table 5, which compares the fully-supervised counterparts in the paper.
How did you train the fully-supervised counterparts?
Did you experiment by changing pseudo-labels into ground truth masks?
Thanks!
Thanks for sharing the code.
I managed to run your code but the result I get is quite different from the ones in the paper.
- | CAM | val |
---|---|---|
training result | 73.6 | 71.8 |
paper result | 74.8 | 74.0 |
Here is my training log:
train.log
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