RUN unrolls a proximal-gradient foreground-background model into a four-stage network that refines masks with state-space modules and images with reconstruction, achieving top results on multiple concealed object segmentation benchmarks.
Polyp-pvt: Polyp segmentation with pyramid vision transformers
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RUN: Reversible Unfolding Network for Concealed Object Segmentation
RUN unrolls a proximal-gradient foreground-background model into a four-stage network that refines masks with state-space modules and images with reconstruction, achieving top results on multiple concealed object segmentation benchmarks.