Rethinking Post-Hoc Calibration in Semantic Segmentation

arXiv:2607.01902 · cs.CV, cs.LG · Submitted 2026-07-02 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-07-02

Updated: 2026-09-22

Comments: Accepted at Transactions on Machine Learning Research (TMLR)

Journal ref: Transactions on Machine Learning Research (2026)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Calibration — 218× in this paper · explained in 7 episodes
Covariate Shift — 16× in this paper · explained in 2 episodes
Accuracy — 13× in this paper · explained in 1 episode
Regularization — 10× in this paper · explained in 3 episodes
Benchmark — 6× in this paper · explained in 2 episodes
Local Temperature Scaling — 6× in this paper
Robustness — 4× in this paper · explained in 5 episodes
nnU-Net — 4× in this paper · explained in 2 episodes
Benchmarking — 3× in this paper · explained in 3 episodes
Conference on Computer Vision and Pattern Recognition — 3× in this paper
Consistency — 3× in this paper · explained in 3 episodes
Embeddings — 3× in this paper · explained in 2 episodes
Expected Calibration Error — 3× in this paper
Adam — 2× in this paper · explained in 2 episodes
Aggregation — 2× in this paper · explained in 1 episode
International Conference on Machine Learning — 2× in this paper
Adaptation — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Data Augmentation — 1× in this paper · explained in 7 episodes
Distribution Shift — 1× in this paper · explained in 5 episodes
In International Conference on Learning Representations — 1× in this paper
Loss Function — 1× in this paper · explained in 2 episodes
Segmentation Masks — 1× in this paper · explained in 2 episodes
Structural Constraints — 1× in this paper · explained in 2 episodes
Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI

Terminology

Sources

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