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Bin-wise Temperature Scaling (BTS): Improvement in Confidence
  Calibration Performance through Simple Scaling Techniques

Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques

30 August 2019
Byeongmoon Ji
Hyemin Jung
Jihyeun Yoon
Kyungyul Kim
Younghak Shin
    UQCV
ArXivPDFHTML

Papers citing "Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques"

17 / 17 papers shown
Title
Decoupling Feature Extraction and Classification Layers for Calibrated
  Neural Networks
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn
Pablo Olmos
32
1
0
02 May 2024
On Temperature Scaling and Conformal Prediction of Deep Classifiers
On Temperature Scaling and Conformal Prediction of Deep Classifiers
Lahav Dabah
Tom Tirer
38
1
0
08 Feb 2024
Cal-DETR: Calibrated Detection Transformer
Cal-DETR: Calibrated Detection Transformer
Muhammad Akhtar Munir
Salman Khan
Muhammad Haris Khan
Mohsen Ali
Fahad Shahbaz Khan
45
8
0
06 Nov 2023
Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition
Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition
Jialin Guo
Zhenyu Wu
Zhiqiang Zhan
Yang Ji
20
0
0
16 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art
Calibration in Deep Learning: A Survey of the State-of-the-Art
Cheng Wang
UQCV
34
36
0
02 Aug 2023
Perception and Semantic Aware Regularization for Sequential Confidence
  Calibration
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
Bridging Precision and Confidence: A Train-Time Loss for Calibrating
  Object Detection
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Muhammad Akhtar Munir
Muhammad Haris Khan
Salman Khan
F. Khan
UQCV
38
15
0
25 Mar 2023
Context-Aware Selective Label Smoothing for Calibrating Sequence
  Recognition Model
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model
Shuangping Huang
Y. Luo
Zhenzhou Zhuang
Jin-Gang Yu
Mengchao He
Yongpan Wang
35
8
0
13 Mar 2023
Towards Improving Calibration in Object Detection Under Domain Shift
Towards Improving Calibration in Object Detection Under Domain Shift
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
19
22
0
15 Sep 2022
Improved post-hoc probability calibration for out-of-domain MRI
  segmentation
Improved post-hoc probability calibration for out-of-domain MRI segmentation
Cheng Ouyang
Shuo Wang
Cheng Chen
Zeju Li
Wenjia Bai
Bernhard Kainz
Daniel Rueckert
UQCV
MedIm
21
4
0
04 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural
  Networks
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
Sérgio A. Balanya
Juan Maroñas
Daniel Ramos
OOD
35
13
0
31 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
Thomas Joy
Francesco Pinto
Ser-Nam Lim
Philip Torr
P. Dokania
UQCV
27
30
0
13 Jul 2022
Confidence Calibration for Object Detection and Segmentation
Confidence Calibration for Object Detection and Segmentation
Fabian Küppers
Anselm Haselhoff
Jan Kronenberger
Jonas Schneider
UQCV
22
4
0
25 Feb 2022
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
Mobarakol Islam
Lalithkumar Seenivasan
Hongliang Ren
Ben Glocker
20
18
0
11 Sep 2021
On Calibration of Scene-Text Recognition Models
On Calibration of Scene-Text Recognition Models
Ron Slossberg
Oron Anschel
Amir Markovitz
Ron Litman
Aviad Aberdam
Shahar Tsiper
Shai Mazor
Jon Wu
R. Manmatha
24
13
0
23 Dec 2020
Local Temperature Scaling for Probability Calibration
Local Temperature Scaling for Probability Calibration
Zhipeng Ding
Xu Han
Peirong Liu
Marc Niethammer
19
77
0
12 Aug 2020
Multi-Class Uncertainty Calibration via Mutual Information
  Maximization-based Binning
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Kanil Patel
William H. Beluch
Binh Yang
Michael Pfeiffer
Dan Zhang
UQCV
14
34
0
23 Jun 2020
1