PEPA is a post-encoder adapter combining target-conditioned snake upsampling and adaptive differentiable thresholding that improves topological metrics over region overlap when added to frozen-encoder curvilinear segmentation baselines.
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From Reconstruction to Decision: A Post-Encoder Plug-in Adapter for Curvilinear Segmentation
PEPA is a post-encoder adapter combining target-conditioned snake upsampling and adaptive differentiable thresholding that improves topological metrics over region overlap when added to frozen-encoder curvilinear segmentation baselines.