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Weakly supervised segmentation with cross-modality equivariant constraints. (arXiv:2104.02488v2 [cs.CV] UPDATED)
Jan. 17, 2022, 2:10 a.m. | Gaurav Patel, Jose Dolz
cs.CV updates on arXiv.org arxiv.org
Weakly supervised learning has emerged as an appealing alternative to
alleviate the need for large labeled datasets in semantic segmentation. Most
current approaches exploit class activation maps (CAMs), which can be generated
from image-level annotations. Nevertheless, resulting maps have been
demonstrated to be highly discriminant, failing to serve as optimal proxy
pixel-level labels. We present a novel learning strategy that leverages
self-supervision in a multi-modal image scenario to significantly enhance
original CAMs. In particular, the proposed method is based on …
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