Semantic segmentation models produce label flips within foreground regions under correlation shift, quantified by a new Flip diagnostic and an entropy-based flip-risk score.
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
Semantic segmentation models produce label flips within foreground regions under correlation shift, quantified by a new Flip diagnostic and an entropy-based flip-risk score.