RPG-SAM improves one-shot polyp segmentation by weighting high-fidelity support features and dynamically adjusting thresholds via morphological consensus, yielding 5.56% mIoU gain on Kvasir.
In: Proceedings of the IEEE/CVF International Conference on Computer Vision
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RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp Segmentation
RPG-SAM improves one-shot polyp segmentation by weighting high-fidelity support features and dynamically adjusting thresholds via morphological consensus, yielding 5.56% mIoU gain on Kvasir.