A neurosymbolic approach uses fuzzy logic constraints to refine SAM under weak supervision, producing improved pseudo-labels that enable state-of-the-art segmentation on Pascal VOC and REFUGE2.
IEEE Transactions on Pattern Analysis and Machine Intelligence40(4), 834–848 (2018)
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Weakly Supervised Segmentation as Semantic-Based Regularization
A neurosymbolic approach uses fuzzy logic constraints to refine SAM under weak supervision, producing improved pseudo-labels that enable state-of-the-art segmentation on Pascal VOC and REFUGE2.