The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration

30 November 2021

Jose Dolz

Papers citing "The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration"

50 / 54 papers shown

Title
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 25 0 0 18 Apr 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning Linhao Li Yongzhang Tan Siyuan Yang Hao Cheng Yongfeng Dong Liang Yang CLL 47 0 0 15 Apr 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 32 0 0 14 Apr 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning Seong-Hyeon Hwang Minsu Kim Steven Euijong Whang 34 0 0 28 Mar 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models Ashshak Sharifdeen Muhammad Akhtar Munir Sanoojan Baliah Salman Khan M. H. Khan VLM 49 0 0 15 Mar 2025
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
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 86 1 0 25 Nov 2024
Calibration of Ordinal Regression Networks Daehwan Kim Haejun Chung Ikbeom Jang UQCV 19 0 0 21 Oct 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 22 0 0 05 Sep 2024
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer Sungmin Kang Jaeha Song Jihie Kim MedIm 29 2 0 01 Aug 2024
Robust Calibration of Large Vision-Language Adapters Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz OODD VLM 32 6 0 18 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset Mijoo Kim Junseok Kwon UQCV 27 1 0 17 Jul 2024
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration Tianshui Chen Weihang Wang Tao Pu Jinghui Qin Zhijing Yang Jie Liu Liang Lin 25 6 0 09 Jul 2024
ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation Chang Li Pengfei Zhang Yu Wang 30 0 0 03 Jul 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 31 4 0 30 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 24 0 0 02 May 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning Shambhavi Mishra Balamurali Murugesan Ismail Ben Ayed M. Pedersoli Jose Dolz 38 2 0 22 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz 27 1 0 19 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 44 10 0 05 Mar 2024
Confidence-Aware Multi-Field Model Calibration Yuang Zhao Chuhan Wu Qinglin Jia Hong Zhu Jia Yan Libin Zong Linxuan Zhang Zhenhua Dong Muyu Zhang 21 1 0 27 Feb 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration Wonjeong Choi Jun-Gyu Park Dong-Jun Han Younghyun Park Jaekyun Moon 26 1 0 22 Feb 2024
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration Jiexin Wang Jiahao Chen Bing-Huang Su UQCV 17 0 0 14 Feb 2024
OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery Long Bai Guan-Feng Wang Jie Wang Xiaoxiao Yang Huxin Gao Xin Liang An-Chi Wang Mobarakol Islam Hongliang Ren 23 6 0 10 Feb 2024
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 34 5 0 25 Jan 2024
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images Prithvijit Chattopadhyay Bharat Goyal B. Ecsedi Viraj Prabhu Judy Hoffman 41 0 0 11 Dec 2023
Cal-DETR: Calibrated Detection Transformer Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 34 8 0 06 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 55 1 0 02 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 30 1 0 25 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 33 1 0 16 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 20 0 0 10 Oct 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
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection Shuang Ao Stefan Rueger Advaith Siddharthan 22 2 0 06 Aug 2023
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 13 8 0 06 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 18 36 0 02 Aug 2023
Boundary-weighted logit consistency improves calibration of segmentation networks Neerav Karani Neel Dey Polina Golland 17 3 0 16 Jul 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation Dapeng Hu Jian Liang Xinchao Wang Chuan-Sheng Foo 15 0 0 14 Jul 2023
Multiclass Confidence and Localization Calibration for Object Detection Bimsara Pathiraja Malitha Gunawardhana M. H. Khan UQCV 28 15 0 14 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration Zhenghua Peng Yuanmao Luo Tianshui Chen Keke Xu Shuangping Huang AI4TS 30 2 0 31 May 2023
Towards Unbiased Calibration using Meta-Regularization Cheng Wang Jacek Golebiowski 26 1 0 27 Mar 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection Muhammad Akhtar Munir Muhammad Haris Khan Salman Khan F. Khan UQCV 30 15 0 25 Mar 2023
Trust your neighbours: Penalty-based constraints for model calibration Balamurali Murugesan V. SukeshAdiga Bingyuan Liu H. Lombaert Ismail Ben Ayed Jose Dolz UQCV 15 9 0 11 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023
Multi-Head Multi-Loss Model Calibration Adrian Galdran Johan W. Verjans G. Carneiro M. A. G. Ballester UQCV 8 7 0 02 Mar 2023
Cut your Losses with Squentropy Like Hui M. Belkin S. Wright UQCV 13 8 0 08 Feb 2023
Class Adaptive Network Calibration Bingyuan Liu Jérôme Rony Adrian Galdran Jose Dolz Ismail Ben Ayed 35 8 0 28 Nov 2022
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness Adrian Galdran G. Carneiro M. A. G. Ballester OOD 21 17 0 13 Sep 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 27 0 0 09 Sep 2022
Learning to segment fetal brain tissue from noisy annotations Davood Karimi C. Rollins C. Velasco-Annis Abdelhakim Ouaalam Ali Gholipour 18 25 0 25 Mar 2022