Meta-Cal: Well-controlled Post-hoc Calibration by Ranking

10 May 2021

Matthew B. Blaschko

Papers citing "Meta-Cal: Well-controlled Post-hoc Calibration by Ranking"

27 / 27 papers shown

Title
We Care Each Pixel: Calibrating on Medical Segmentation Model Wenhao Liang W. Zhang Y. Lin Miao Xu Olaf Maennel Weitong Chen 48 0 0 07 Mar 2025
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning Song Wang Zhongdao Wang Jiawei Yu Wentong Li Bailan Feng Junbo Chen Jianke Zhu UQCV 31 3 0 26 Sep 2024
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration Xiaoqing Zhang Qiushi Nie Zunjie Xiao Jilu Zhao Xiao Wu Pengxin Guo Runzhi Li Jin Liu Yanjie Wei Yi-Lun Pan 31 0 0 06 Aug 2024
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration Gyusang Cho Chan-Hyun Youn 30 0 0 14 Jun 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 36 4 0 30 May 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 50 5 0 25 Mar 2024
Task-specific regularization loss towards model calibration for reliable lung cancer detection Mehar Prateek Kalra Mansi Singhal Rohan Raju Dhanakashirur UQCV 13 0 0 21 Jan 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors Teodora Popordanoska Sebastian G. Gruber A. Tiulpin Florian Buettner Matthew B. Blaschko 22 3 0 14 Dec 2023
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 30 8 0 11 Dec 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration Vinith Kugathasan M. H. Khan UQCV 14 1 0 06 Sep 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration Jongyoun Noh Hyekang Park Junghyup Lee Bumsub Ham UQCV 19 9 0 23 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration Hyekang Park Jongyoun Noh Youngmin Oh Donghyeon Baek Bumsub Ham UQCV 34 12 0 23 Aug 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration Seungjin Jung Seung-Woo Seo Yonghyun Jeong Jongwon Choi 29 3 0 19 Jun 2023
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels Zifu Wang Teodora Popordanoska J. Bertels Robin Lemmens Matthew B. Blaschko 24 10 0 28 Mar 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels Zifu Wang Xuefei Ning Matthew B. Blaschko VLM 30 12 0 11 Feb 2023
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm Dongdong Wang Boqing Gong Liqiang Wang 18 23 0 22 Dec 2022
Calibrating AI Models for Wireless Communications via Conformal Prediction K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 26 6 0 15 Dec 2022
Class Adaptive Network Calibration Bingyuan Liu Jérôme Rony Adrian Galdran Jose Dolz Ismail Ben Ayed 40 8 0 28 Nov 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 32 0 0 09 Sep 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 25 11 0 03 Jun 2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks Zhen Lin Shubhendu Trivedi Jimeng Sun 22 5 0 15 Feb 2022
Classifier Calibration: A survey on how to assess and improve predicted class probabilities Telmo de Menezes e Silva Filho Hao Song Miquel Perelló Nieto Raúl Santos-Rodríguez Meelis Kull Peter A. Flach 32 77 0 20 Dec 2021
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Bingyuan Liu Ismail Ben Ayed Adrian Galdran Jose Dolz UQCV 24 65 0 30 Nov 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement Aditya Singh Alessandro Bay B. Sengupta Andrea Mirabile AAML 27 2 0 17 Jun 2021
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration Christian Tomani Daniel Cremers Florian Buettner UQCV 11 33 0 24 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
On the Consistency of AUC Pairwise Optimization Wei Gao Zhi-Hua Zhou 63 123 0 03 Aug 2012