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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.
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
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!
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