FARCLUSS is a semi-supervised segmentation method that blends fuzzy pseudo-labels, uncertainty weighting, class rebalancing, and contrastive prototypes, with modest benchmark gains.
Reco: Retrieve and co-segment for zero-shot transfer,
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FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
FARCLUSS is a semi-supervised segmentation method that blends fuzzy pseudo-labels, uncertainty weighting, class rebalancing, and contrastive prototypes, with modest benchmark gains.