cutmix-semisup-seg
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Improvement due to loss function or data augmentation?
Hi, I went through the paper and had a tough time understanding the jist of it. Is it:
- Cut-Mix for segmentation images improving the accuracy metrics or
- The consistency loss function is improving your scores
In a more naive way, is the work about cut-mix for segmentation(orginal is for classification) or the work is about consistency loss