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Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation. (arXiv:2305.08491v5 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
This study introduces an efficacious approach, Masked Collaborative Contrast
(MCC), to highlight semantic regions in weakly supervised semantic
segmentation. MCC adroitly draws inspiration from masked image modeling and
contrastive learning to devise a novel framework that induces keys to contract
toward semantic regions. Unlike prevalent techniques that directly eradicate
patch regions in the input image when generating masks, we scrutinize the
neighborhood relations of patch tokens by exploring masks considering keys on
the affinity matrix. Moreover, we generate positive and …
arxiv collaborative contrast framework highlight image inspiration keys modeling novel segmentation semantic study