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Contrastive Test-Time Adaptation

Contrastive Test-Time Adaptation

21 April 2022
Dian Chen
Dequan Wang
Trevor Darrell
Sayna Ebrahimi
    TTA
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Papers citing "Contrastive Test-Time Adaptation"

50 / 169 papers shown
Title
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
15
5
0
18 Sep 2023
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time
  Adaptation
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
Manogna Sreenivas
Goirik Chakrabarty
Soma Biswas
TTA
22
1
0
02 Sep 2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
TTA
30
11
0
01 Sep 2023
Advancing Adversarial Robustness Through Adversarial Logit Update
Advancing Adversarial Robustness Through Adversarial Logit Update
Hao Xuan
Peican Zhu
Xingyu Li
AAML
29
0
0
29 Aug 2023
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models
Debapriya Tula
S. Paul
Gagan Madan
P. Garst
R. Ingle
Gaurav Aggarwal
VLM
62
0
0
29 Aug 2023
On the Robustness of Open-World Test-Time Training: Self-Training with
  Dynamic Prototype Expansion
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
Yu-Sheng Li
Xun Xu
Yongyi Su
Kui Jia
OOD
VLM
TTA
27
18
0
19 Aug 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in
  Entropy Minimization
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
Jungsoo Lee
Debasmit Das
Jaegul Choo
Sungha Choi
TTA
VLM
43
26
0
14 Aug 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt
  Tuning
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
Chun-Mei Feng
Kai Yu
Yong Liu
Salman Khan
W. Zuo
VLM
22
78
0
11 Aug 2023
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation
Youssef Dawoud
G. Carneiro
Vasileios Belagiannis
37
0
0
09 Aug 2023
Source-free Domain Adaptive Human Pose Estimation
Source-free Domain Adaptive Human Pose Estimation
Qucheng Peng
Ce Zheng
Chong Chen
3DH
TTA
38
23
0
06 Aug 2023
Open-Set Domain Adaptation with Visual-Language Foundation Models
Open-Set Domain Adaptation with Visual-Language Foundation Models
Qing Yu
Go Irie
Kiyoharu Aizawa
VLM
32
6
0
30 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDL
OOD
30
1
0
08 Jul 2023
Benchmarking Test-Time Adaptation against Distribution Shifts in Image
  Classification
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification
Yongcan Yu
Lijun Sheng
Ran He
Jian Liang
OOD
VLM
TTA
35
15
0
06 Jul 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases
  Prediction:A Multi-Dataset Study
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
Rushuang Zhou
Lei Lu
Zijun Liu
Ting Xiang
Zhen Liang
David A. Clifton
Yining Dong
Yuanyuan Zhang
41
10
0
18 Jun 2023
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time
  Adaptation
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
Jiaming Liu
Senqiao Yang
Peidong Jia
Renrui Zhang
Ming Lu
Yandong Guo
Wei Xue
Shanghang Zhang
TTA
OOD
VLM
30
36
0
07 Jun 2023
On Pitfalls of Test-Time Adaptation
On Pitfalls of Test-Time Adaptation
Hao Zhao
Yuejiang Liu
Alexandre Alahi
Tao R. Lin
TTA
29
39
0
06 Jun 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity
  Weighting, and Prior Correction
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction
Robert A. Marsden
Mario Döbler
Bin Yang
TTA
24
32
0
01 Jun 2023
Convolutional Monge Mapping Normalization for learning on sleep data
Convolutional Monge Mapping Normalization for learning on sleep data
Théo Gnassounou
Rémi Flamary
Alexandre Gramfort
OOD
22
0
0
30 May 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel
  Historical Data Reuse Approach
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Zhangming Chan
Yu Zhang
Shuguang Han
Yong Bai
Xiang-Rong Sheng
...
Jiacen Hu
Baolin Liu
Yuning Jiang
Jian Xu
Bo Zheng
23
10
0
22 May 2023
Consistency Regularization for Domain Generalization with Logit
  Attribution Matching
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
N. Zhang
13
2
0
13 May 2023
Model-Contrastive Federated Domain Adaptation
Model-Contrastive Federated Domain Adaptation
Chang’an Yi
Haotian Chen
Yonghui Xu
Yifan Zhang
MedIm
FedML
38
0
0
07 May 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances
  in QA
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
Neeraj Varshney
Chitta Baral
39
13
0
02 May 2023
Test-Time Adaptation with Perturbation Consistency Learning
Test-Time Adaptation with Perturbation Consistency Learning
Yi Su
Yixin Ji
Juntao Li
Hai Ye
Hao Fei
VLM
33
2
0
25 Apr 2023
SATA: Source Anchoring and Target Alignment Network for Continual Test
  Time Adaptation
SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation
Goirik Chakrabarty
Manogna Sreenivas
Soma Biswas
TTA
41
5
0
20 Apr 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra
Hani Itani
Alejandro Pardo
Shyma Alhuwaider
Merey Ramazanova
Juan C. Pérez
Zhipeng Cai
Matthias Müller
Guohao Li
TTA
42
2
0
10 Apr 2023
Improved Test-Time Adaptation for Domain Generalization
Improved Test-Time Adaptation for Domain Generalization
Liang Chen
Yong Zhang
Yibing Song
Ying Shan
Lingqiao Liu
TTA
OOD
27
46
0
10 Apr 2023
STFAR: Improving Object Detection Robustness at Test-Time by
  Self-Training with Feature Alignment Regularization
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization
Yijin Chen
Xun Xu
Yongyi Su
Kui Jia
TTA
OOD
ObjD
26
6
0
31 Mar 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for
  Efficient Source Free Domain Adaptation
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
Nazmul Karim
Niluthpol Chowdhury Mithun
Abhinav Rajvanshi
Han-Pang Chiu
S. Samarasekera
Nazanin Rahnavard
TTA
21
56
0
30 Mar 2023
Complementary Domain Adaptation and Generalization for Unsupervised
  Continual Domain Shift Learning
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
27
5
0
28 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
Ran He
Tien-Ping Tan
OOD
VLM
TTA
41
207
0
27 Mar 2023
Train/Test-Time Adaptation with Retrieval
Train/Test-Time Adaptation with Retrieval
L. Zancato
Alessandro Achille
Tian Yu Liu
Matthew Trager
Pramuditha Perera
Stefano Soatto
TTA
OOD
24
12
0
25 Mar 2023
Robust Test-Time Adaptation in Dynamic Scenarios
Robust Test-Time Adaptation in Dynamic Scenarios
Longhui Yuan
Binhui Xie
Shuangliang Li
TTA
29
115
0
24 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation
Feature Alignment and Uniformity for Test Time Adaptation
Shuai Wang
Daoan Zhang
Zipei Yan
Jiang Zhang
Ruizhen Li
TTA
OOD
32
44
0
20 Mar 2023
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering Regularized Self-Training
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training
Yongyi Su
Xun Xu
Tianrui Li
Kui Jia
OOD
TTA
34
16
0
20 Mar 2023
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Haozhi Cao
Yuecong Xu
Jianfei Yang
Pengyu Yin
Shenghai Yuan
Lihua Xie
TTA
32
18
0
18 Mar 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
Devavrat Tomar
Guillaume Vray
Behzad Bozorgtabar
Jean-Philippe Thiran
TTA
33
33
0
17 Mar 2023
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
Senqiao Yang
Jiarui Wu
Jiaming Liu
Xiaoqi Li
Qizhe Zhang
Mingjie Pan
Yulu Gan
Zehui Chen
Shanghang Zhang
MDE
VLM
40
18
0
17 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free
  Unsupervised Domain Adaptation
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
39
59
0
07 Mar 2023
Domain adaptation using optimal transport for invariant learning using
  histopathology datasets
Domain adaptation using optimal transport for invariant learning using histopathology datasets
Kianoush Falahkheirkhah
Alex X. Lu
David Alvarez-Melis
G. Huynh
OOD
MedIm
30
4
0
03 Mar 2023
Generalized Semantic Segmentation by Self-Supervised Source Domain
  Projection and Multi-Level Contrastive Learning
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
Liwei Yang
Xiang Gu
Jian Sun
34
13
0
03 Mar 2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via
  Self-distilled Regularization
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
Jun S. Song
Jungsoo Lee
In So Kweon
Sungha Choi
TTA
36
86
0
03 Mar 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
Aaditya Naik
Yinjun Wu
Mayur Naik
Eric Wong
8
4
0
02 Mar 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Towards Stable Test-Time Adaptation in Dynamic Wild World
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Z. Wen
Yaofo Chen
P. Zhao
Mingkui Tan
TTA
35
248
0
24 Feb 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
Hyesu Lim
Byeonggeun Kim
Jaegul Choo
Sungha Choi
TTA
26
85
0
10 Feb 2023
DELTA: degradation-free fully test-time adaptation
DELTA: degradation-free fully test-time adaptation
Bowen Zhao
Chen Chen
Shutao Xia
TTA
86
55
0
30 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains
DEJA VU: Continual Model Generalization For Unseen Domains
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Tianlin Li
Qi Zhu
CLL
OOD
33
22
0
25 Jan 2023
Modeling Uncertain Feature Representation for Domain Generalization
Modeling Uncertain Feature Representation for Domain Generalization
Xiaotong Li
Zixuan Hu
Jun Liu
Yixiao Ge
Yongxing Dai
Ling-Yu Duan
OOD
29
3
0
16 Jan 2023
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge
  Management
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management
Jun S. Song
Kwanyong Park
Inkyu Shin
Sanghyun Woo
Chaoning Zhang
In So Kweon
TTA
29
6
0
16 Dec 2022
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time
  Adaptation
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Yulu Gan
Yan Bai
Yihang Lou
Xianzheng Ma
Renrui Zhang
Nian Shi
Lin Luo
OOD
VLM
36
92
0
08 Dec 2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for
  Syn-to-Real Domain Generalization
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
Prithvijit Chattopadhyay
Kartik Sarangmath
Vivek Vijaykumar
Judy Hoffman
47
24
0
02 Dec 2022
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