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2012.10988
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Post-hoc Uncertainty Calibration for Domain Drift Scenarios
Computer Vision and Pattern Recognition (CVPR), 2020
20 December 2020
Christian Tomani
Sebastian Gruber
Muhammed Ebrar Erdem
Zorah Lähner
Florian Buettner
UQCV
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Papers citing
"Post-hoc Uncertainty Calibration for Domain Drift Scenarios"
50 / 52 papers shown
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Gradient Rectification for Robust Calibration under Distribution Shift
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128
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Where are we with calibration under dataset shift in image classification?
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317
3
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10 Jul 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
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205
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0
28 Mar 2025
PostHoc FREE Calibrating on Kolmogorov Arnold Networks
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Wei Emma Zhang
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276
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03 Mar 2025
Optimizing Estimators of Squared Calibration Errors in Classification
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Francis Bach
521
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Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems
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Houssem Ben Braiek
Foutse Khomh
Thomas Reid
226
1
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13 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
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Jacob Goldberger
302
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06 Sep 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance
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Ingo Thon
Volker Tresp
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288
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24 Aug 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
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Junseok Kwon
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207
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Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
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172
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Gabriel Eilertsen
Stina Garvin
Claes Lundström
241
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Out-of-distribution Detection in Medical Image Analysis: A survey
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Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
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Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
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313
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Optimizing Calibration by Gaining Aware of Prediction Correctness
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Lei Wang
Yuli Zou
James Zou
Liang Zheng
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561
6
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19 Apr 2024
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Balamurali Murugesan
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
290
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22 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
351
3
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19 Mar 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
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Jun-Gyu Park
Dong-Jun Han
Younghyun Park
Jaekyun Moon
365
2
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22 Feb 2024
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration
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Jiahao Chen
Fuchun Sun
UQCV
278
1
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14 Feb 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
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Sukesh Adiga Vasudeva
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
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372
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Anqi Liu
Chien-Ming Huang
267
28
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11 Jan 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
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Teodora Popordanoska
Sebastian G. Gruber
A. Tiulpin
Florian Buettner
Matthew B. Blaschko
347
8
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14 Dec 2023
Cal-DETR: Calibrated Detection Transformer
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Muhammad Akhtar Munir
Salman Khan
Muhammad Haris Khan
Mohsen Ali
Fahad Shahbaz Khan
288
12
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06 Nov 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
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Changdae Oh
Hyesu Lim
Mijoo Kim
Dongyoon Han
Junhyeok Park
Euiseog Jeong
Alexander G. Hauptmann
Zhi-Qi Cheng
Kyungwoo Song
VLM
790
39
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03 Nov 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
AAAI Conference on Artificial Intelligence (AAAI), 2023
Dexter Neo
Stefan Winkler
Tsuhan Chen
OODD
364
9
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26 Oct 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration
Vinith Kugathasan
M. H. Khan
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208
1
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06 Sep 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration
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Jongyoun Noh
Hyekang Park
Junghyup Lee
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270
21
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23 Aug 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation
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Jian Zhang
Lei Qi
Yinghuan Shi
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267
30
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20 Aug 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
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Jian Liang
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Chuan-Sheng Foo
249
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14 Jul 2023
Multiclass Confidence and Localization Calibration for Object Detection
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Bimsara Pathiraja
Malitha Gunawardhana
M. H. Khan
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223
23
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Optimization's Neglected Normative Commitments
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290
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Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution
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247
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Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
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Salman Khan
Fahad Shahbaz Khan
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203
20
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25 Mar 2023
Trust your neighbours: Penalty-based constraints for model calibration
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Balamurali Murugesan
V. SukeshAdiga
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
234
13
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11 Mar 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Yu-Hui Zou
Weijian Deng
Liang Zheng
OODD
154
2
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09 Mar 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
International Conference on Machine Learning (ICML), 2023
Christian Tomani
Futa Waseda
Yuesong Shen
Zorah Lähner
UQCV
309
15
0
10 Feb 2023
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm
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Dongdong Wang
Boqing Gong
Liqiang Wang
401
33
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A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
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Paul F. Jaeger
Carsten T. Lüth
Lukas Klein
Till J. Bungert
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411
51
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Class Adaptive Network Calibration
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Jérôme Rony
Adrian Galdran
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247
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Jason Kuen
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169
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205
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Florence Forbes
A. Tucholka
Senan Doyle
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M. Dojat
295
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Towards Improving Calibration in Object Detection Under Domain Shift
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M. H. Khan
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322
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Zorah Lähner
164
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280
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