Under category–scene correlation shift, segmentation models often preserve foreground extent but swap confusable class identities; Flip, FG-Corr/Flip/Miss, and entropy flip-risk make that failure measurable and monitorable.
Mitigating spurious correlations in weakly supervised semantic segmentation via cross-architecture consistency regularization.arXiv preprint arXiv:2507.21959
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Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift
Under category–scene correlation shift, segmentation models often preserve foreground extent but swap confusable class identities; Flip, FG-Corr/Flip/Miss, and entropy flip-risk make that failure measurable and monitorable.