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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"
23 / 73 papers shown
Distilling Calibrated Student from an Uncalibrated Teacher
Ishan Mishra
Sethu Vamsi Krishna
Deepak Mishra
FedML
165
3
0
22 Feb 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Neural Information Processing Systems (NeurIPS), 2023
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
542
20
0
11 Feb 2023
Uncertainty Estimation based on Geometric Separation
Gabriella Chouraqui
L. Cohen
Gil Einziger
Liel Leman
203
0
0
11 Jan 2023
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm
Computer Vision and Pattern Recognition (CVPR), 2022
Dongdong Wang
Boqing Gong
Liqiang Wang
337
32
0
22 Dec 2022
TAS-NIR: A VIS+NIR Dataset for Fine-grained Semantic Segmentation in Unstructured Outdoor Environments
Peter Mortimer
Hans-Joachim Wuensche
152
7
0
19 Dec 2022
Class Adaptive Network Calibration
Computer Vision and Pattern Recognition (CVPR), 2022
Bingyuan Liu
Jérôme Rony
Adrian Galdran
Jose Dolz
Ismail Ben Ayed
196
17
0
28 Nov 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
ACM Computing Surveys (ACM CSUR), 2022
Jiayun Luo
Boyang Albert Li
Cyril Leung
377
23
0
20 Oct 2022
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
IEEE International Conference on Computer Vision (ICCV), 2022
Qin Liu
Zhenlin Xu
Gedas Bertasius
Marc Niethammer
270
150
0
20 Oct 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing
Balamurali Murugesan
Bingyuan Liu
Adrian Galdran
Ismail Ben Ayed
Jose Dolz
UQCV
174
1
0
09 Sep 2022
ScaleFace: Uncertainty-aware Deep Metric Learning
International Conference on Data Science and Advanced Analytics (DSAA), 2022
Roma Kail
Kirill Fedyanin
Nikita Muravev
Alexey Zaytsev
Maxim Panov
CVBM
UQCV
270
6
0
05 Sep 2022
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen
B. Dey
A. Ghosh
Michael Kagan
Brian D. Nord
Nesar Ramachandra
208
13
0
05 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation
Cheng Ouyang
Shuo Wang
Chong Chen
Zeju Li
Wenjia Bai
Bernhard Kainz
Daniel Rueckert
UQCV
MedIm
191
5
0
04 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
Sérgio A. Balanya
Juan Maroñas
Daniel Ramos
OOD
286
38
0
31 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
AAAI Conference on Artificial Intelligence (AAAI), 2022
Thomas Joy
Francesco Pinto
Ser-Nam Lim
Juil Sock
P. Dokania
UQCV
252
45
0
13 Jul 2022
PseudoClick: Interactive Image Segmentation with Click Imitation
European Conference on Computer Vision (ECCV), 2022
Qin Liu
Meng Zheng
Benjamin Planche
Srikrishna Karanam
Terrence Chen
Marc Niethammer
Ziyan Wu
VLM
256
70
0
12 Jul 2022
A Geometric Method for Improved Uncertainty Estimation in Real-time
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Gabriella Chouraqui
L. Cohen
Gil Einziger
Liel Leman
143
0
0
23 Jun 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
Computer Vision and Pattern Recognition (CVPR), 2022
R. Hebbalaguppe
Jatin Prakash
Neelabh Madan
Chetan Arora
UQCV
216
54
0
25 Mar 2022
Classifier Calibration: A survey on how to assess and improve predicted class probabilities
Machine-mediated learning (ML), 2021
Telmo de Menezes e Silva Filho
Hao Song
Miquel Perelló Nieto
Raúl Santos-Rodríguez
Meelis Kull
Peter A. Flach
382
131
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
465
98
0
30 Nov 2021
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
Mobarakol Islam
Lalithkumar Seenivasan
Hongliang Ren
Ben Glocker
173
20
0
11 Sep 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
International Conference on Machine Learning (ICML), 2021
Xingchen Ma
Matthew B. Blaschko
270
41
0
10 May 2021
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
Applied Soft Computing (Appl Soft Comput), 2021
Navid Ghassemi
A. Shoeibi
Marjane Khodatars
Jónathan Heras
Alireza Rahimi
A. Zare
R. B. Pachori
Juan M Gorriz
MedIm
178
68
0
24 Apr 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
International Conference on Machine Learning (ICML), 2021
Yu Bai
Song Mei
Haiquan Wang
Caiming Xiong
250
44
0
15 Feb 2021
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