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2008.05105
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Local Temperature Scaling for Probability Calibration
IEEE International Conference on Computer Vision (ICCV), 2020
12 August 2020
Zhipeng Ding
Xu Han
Peirong Liu
Marc Niethammer
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Papers citing
"Local Temperature Scaling for Probability Calibration"
50 / 73 papers shown
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Probability calibration for precipitation nowcasting
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Evaluating Temperature Scaling Calibration Effectiveness for CNNs under Varying Noise Levels in Brain Tumour Detection
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Kushan Choudhury
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Annabel Sorby-Adams
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106
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To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks
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Nidhi Simmons
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Trung Q. Duong
174
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23 Jul 2025
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration
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S. Oyama
Hiromi Arai
H. Kashima
253
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12 Jun 2025
Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness
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270
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Compositional Generalisation for Explainable Hate Speech Detection
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245
1
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Revisiting Reweighted Risk for Calibration: AURC, Focal, and Inverse Focal Loss
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Sebastian G.Gruber
Teodora Popordanoska
Matthew B. Blaschko
483
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29 May 2025
Towards Calibration Enhanced Network by Inverse Adversarial Attack
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Zi Pong Lim
Sarthak Ketanbhai Modi
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Yushi Cao
Shang-Wei Lin
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158
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08 Apr 2025
Explainable AI-Based Interface System for Weather Forecasting Model
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Junho Choi
Yeji Choi
Subeen Lee
Artyom Stitsyuk
Minkyoung Park
Seongyeop Jeong
Youhyun Baek
Jaesik Choi
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304
6
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01 Apr 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2025
Seong-Hyeon Hwang
Minsu Kim
Steven Euijong Whang
163
2
0
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Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
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Peirong Liu
Ana Lawry Aguila
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215
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23 Jan 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
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Xiaoge Zhang
Tao Wang
Chao Yan
Fedaa Najdawi
Wei Song
Yuan Ma
Yiu-ming Cheung
Sricharan Kumar
MedIm
761
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03 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
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R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
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ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning
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Zhongdao Wang
Jiawei Yu
Wentong Li
Bailan Feng
Junbo Chen
Jianke Zhu
UQCV
260
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Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation
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P. Mody
Nicolas F. Chaves-de-Plaza
Chinmay Rao
Eleftheria Astrenidou
M. de Ridder
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Klaus Hildebrandt
Marius Staring
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297
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May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels
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Lorenzo Bonicelli
Angelo Porrello
Jacopo Credi
Petter N. Kolm
Simone Calderara
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265
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A Little Confidence Goes a Long Way
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Shang Gao
Devanshu Agrawal
Javed Qadrud-Din
103
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Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
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Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
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357
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13 Aug 2024
Entropy Reweighted Conformal Classification
Rui Luo
Nicolo Colombo
362
11
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24 Jul 2024
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
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Gyusang Cho
Chan-Hyun Youn
254
0
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14 Jun 2024
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
Ilgee Hong
Zichong Li
Alexander Bukharin
Yixiao Li
Haoming Jiang
Tianbao Yang
Tuo Zhao
214
13
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04 Jun 2024
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation
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Yudian Zhang
Chenhao Xu
Kaiye Xu
Haijiang Zhu
152
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Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
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Xiang Xu
Jun Cen
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324
12
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Do not trust what you trust: Miscalibration in Semi-supervised Learning
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Balamurali Murugesan
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234
3
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22 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration
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Ismail Ben Ayed
Jose Dolz
318
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19 Mar 2024
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
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Theodore Barfoot
Luis C. Garcia-Peraza-Herrera
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Tom Vercauteren
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347
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186
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Tom Tirer
398
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313
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VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
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Yan Hu
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246
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Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
European Conference on Computer Vision (ECCV), 2023
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Oula Puonti
Xiaoling Hu
Daniel C. Alexander
Juan Eugenio Iglesias
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398
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RankMixup: Ranking-Based Mixup Training for Network Calibration
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209
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213
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200
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Trust your neighbours: Penalty-based constraints for model calibration
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