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Test-Time Adaptation to Distribution Shift by Confidence Maximization
  and Input Transformation

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation

28 June 2021
Chaithanya Kumar Mummadi
Robin Hutmacher
K. Rambach
Evgeny Levinkov
Thomas Brox
J. H. Metzen
    TTA
    OOD
ArXivPDFHTML

Papers citing "Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation"

14 / 14 papers shown
Title
Focus on the Likely: Test-time Instance-based Uncertainty Removal
Focus on the Likely: Test-time Instance-based Uncertainty Removal
Johannes Schneider
22
0
0
02 May 2025
Audiopedia: Audio QA with Knowledge
Audiopedia: Audio QA with Knowledge
Abhirama Subramanyam Penamakuri
Kiran Chhatre
Akshat Jain
KELM
AuLLM
RALM
51
0
0
31 Dec 2024
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Yu Liang
Shilei Cao
Juepeng Zheng
Jianxi Huang
H. Fu
Haohuan Fu
TTA
42
0
0
29 Aug 2024
Test-Time Training for Speech
Test-Time Training for Speech
Sri Harsha Dumpala
Chandramouli Shama Sastry
Sageev Oore
35
1
0
19 Sep 2023
Test Time Adaptation for Blind Image Quality Assessment
Test Time Adaptation for Blind Image Quality Assessment
Subhadeep Roy
Shankhanil Mitra
Soma Biswas
R. Soundararajan
VLM
OOD
40
17
0
27 Jul 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep
  Learning Models
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
Vivian Lin
Kuk Jin Jang
Souradeep Dutta
Michele Caprio
O. Sokolsky
Insup Lee
OOD
26
6
0
20 Feb 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via
  Complementary Learning
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
Jiayi Han
Longbin Zeng
Liang Du
Weiyang Ding
Jianfeng Feng
OOD
TTA
19
13
0
15 Jan 2023
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow
David Osowiechi
G. A. V. Hakim
Mehrdad Noori
Milad Cheraghalikhani
Ismail Ben Ayed
Christian Desrosiers
OOD
27
21
0
20 Oct 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for
  Test-Time Adaptation
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
Jun-Kun Wang
Andre Wibisono
27
7
0
18 Oct 2022
Test-Time Adaptation with Principal Component Analysis
Test-Time Adaptation with Principal Component Analysis
Thomas Cordier
Victor Bouvier
Gilles Hénaff
C´eline Hudelot
TTA
20
1
0
13 Sep 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
F. I. F. Richard Yu
TTA
36
148
0
16 Jun 2022
Listen, Adapt, Better WER: Source-free Single-utterance Test-time
  Adaptation for Automatic Speech Recognition
Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition
Guan-Ting Lin
Shang-Wen Li
Hung-yi Lee
TTA
VLM
13
9
0
27 Mar 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
39
393
0
25 Mar 2022
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
147
150
0
17 Feb 2021
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