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Trust your neighbours: Penalty-based constraints for model calibration
v1v2 (latest)

Trust your neighbours: Penalty-based constraints for model calibration

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
11 March 2023
Balamurali Murugesan
V. SukeshAdiga
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Trust your neighbours: Penalty-based constraints for model calibration"

10 / 10 papers shown
Compositional Generalisation for Explainable Hate Speech Detection
Compositional Generalisation for Explainable Hate Speech Detection
Agostina Calabrese
Tom Sherborne
Bjorn Ross
Mirella Lapata
245
1
0
04 Jun 2025
We Care Each Pixel: Calibrating on Medical Segmentation Model
We Care Each Pixel: Calibrating on Medical Segmentation Model
Wenhao Liang
Wei Emma Zhang
Y. Lin
Miao Xu
Olaf Maennel
Weitong Chen
283
1
0
07 Mar 2025
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical
  Image Segmentation
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationMachine Learning for Biomedical Imaging (MLBI), 2024
P. Mody
Nicolas F. Chaves-de-Plaza
Chinmay Rao
Eleftheria Astrenidou
M. de Ridder
N. Hoekstra
Klaus Hildebrandt
Marius Staring
UQCV
297
1
0
05 Sep 2024
Robust Calibration of Large Vision-Language Adapters
Robust Calibration of Large Vision-Language Adapters
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
OODDVLM
316
21
0
18 Jul 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Shambhavi Mishra
Balamurali Murugesan
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
234
3
0
22 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration
Class and Region-Adaptive Constraints for Network CalibrationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
318
2
0
19 Mar 2024
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Theodore Barfoot
Luis C. Garcia-Peraza-Herrera
Ben Glocker
Tom Vercauteren
UQCV
347
7
0
11 Mar 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based
  Constraints
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
Balamurali Murugesan
Sukesh Adiga Vasudeva
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
313
8
0
25 Jan 2024
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Neerav Karani
Neel Dey
Polina Golland
176
3
0
16 Jul 2023
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
259
147
0
05 Oct 2022
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