AI RESEARCH
Segment Anything with Robust Uncertainty-Accuracy Correlation
arXiv CS.CV
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ArXi:2605.10603v1 Announce Type: new Despite strong zero-shot performance, SAM is unreliable under domain shift due to Mask-level Confidence Confusion (MCC), where a single IoU-based mask score fails to reflect pixel-wise reliability near boundaries. Motivated by the contrast between texture-biased shortcuts in neural networks and shape-centric processing in human vision, we model out-of-domain variation as appearance shifts and non-rigid deformations that jointly stress calibration.