The paper defines translation-invariant calibrators and class-conditional affine calibrators under argmax- or order-preservation constraints for semantic segmentation, showing improved calibration without segmentation degradation on benchmarks.
D irichlet-based gaussian processes for large-scale calibrated classification
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Rethinking Post-Hoc Calibration in Semantic Segmentation
The paper defines translation-invariant calibrators and class-conditional affine calibrators under argmax- or order-preservation constraints for semantic segmentation, showing improved calibration without segmentation degradation on benchmarks.