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Continual Test-Time Domain Adaptation

Continual Test-Time Domain Adaptation

25 March 2022
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
    OOD
    TTA
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Papers citing "Continual Test-Time Domain Adaptation"

50 / 264 papers shown
Title
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
9
3
0
17 Oct 2023
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
Taesik Gong
Yewon Kim
Taeckyung Lee
Sorn Chottananurak
Sung-Ju Lee
TTA
17
12
0
16 Oct 2023
Towards Unified and Effective Domain Generalization
Towards Unified and Effective Domain Generalization
Yiyuan Zhang
Kaixiong Gong
Xiaohan Ding
Kaipeng Zhang
Fangrui Lv
Kurt Keutzer
Xiangyu Yue
AI4CE
OOD
FedML
15
4
0
16 Oct 2023
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Shuangliang Li
Longhui Yuan
Binhui Xie
Tao Yang
TTA
12
2
0
07 Oct 2023
Continual Test-time Domain Adaptation via Dynamic Sample Selection
Continual Test-time Domain Adaptation via Dynamic Sample Selection
Yanshuo Wang
Jie Hong
A. Cheraghian
Shafin Rahman
David Ahmedt-Aristizabal
Lars Petersson
Mehrtash Harandi
TTA
12
14
0
05 Oct 2023
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
Mattia Segu
Bernt Schiele
Fisher Yu
TTA
12
13
0
03 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
8
22
0
27 Sep 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Yongyi Su
Xun Xu
K. Jia
TTA
58
22
0
26 Sep 2023
Single Image Test-Time Adaptation for Segmentation
Single Image Test-Time Adaptation for Segmentation
Klara Janouskova
T. Shor
Chaim Baskin
Jirí Matas
TTA
OOD
18
3
0
25 Sep 2023
Distribution-Aware Continual Test-Time Adaptation for Semantic
  Segmentation
Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
Jiayin Ni
Senqiao Yang
Ran Xu
Jiaming Liu
Xiaoqi Li
Wenyu Jiao
Zehui Chen
Yi Liu
Shanghang Zhang
TTA
17
7
0
24 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and
  Generalization
Order-preserving Consistency Regularization for Domain Adaptation and Generalization
Mengmeng Jing
Xiantong Zhen
Jingjing Li
Cees G. M. Snoek
16
4
0
23 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection
Meta OOD Learning for Continuously Adaptive OOD Detection
Xinheng Wu
Jie Lu
Zhen Fang
Guangquan Zhang
OODD
17
4
0
21 Sep 2023
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
11
4
0
18 Sep 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution
  Detection in Segmentation
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Zhitong Gao
Shipeng Yan
Xuming He
OOD
OODD
12
10
0
12 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved
  Single-Sample Test-Time Adaptation
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
Skyler Seto
B. Theobald
Federico Danieli
Navdeep Jaitly
Dan Busbridge
TTA
OOD
22
6
0
07 Sep 2023
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain
  Adaptation
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
Zhexiao Xiong
Feng Qiao
Yu Zhang
Nathan Jacobs
17
2
0
04 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
8
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
14
11
0
01 Sep 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
K. Jia
OOD
VLM
TTA
17
10
0
19 Aug 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label
  Shifts
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
S. Park
Seunghan Yang
Jaegul Choo
Sungrack Yun
VLM
TTA
17
17
0
17 Aug 2023
Global Features are All You Need for Image Retrieval and Reranking
Global Features are All You Need for Image Retrieval and Reranking
Shihao Shao
Kai-Hung Chen
Arjun Karpur
Qinghua Cui
A. Araújo
Bingyi Cao
8
38
0
14 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
20
17
0
14 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
21
0
0
09 Aug 2023
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place
  Recognition Using Geometric Priors
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors
Joshua Knights
Stephen Hausler
S. Sridharan
Clinton Fookes
Peyman Moghadam
6
10
0
09 Aug 2023
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
Marc Botet Colomer
Pier Luigi Dovesi
Theodoros Panagiotakopoulos
J. Carvalho
Linus Harenstam-Nielsen
Hossein Azizpour
Hedvig Kjellström
Daniel Cremers
Matteo Poggi
TTA
18
9
0
27 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
19
9
0
19 Jul 2023
Deep learning for unsupervised domain adaptation in medical imaging:
  Recent advancements and future perspectives
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
S. Kumari
Pravendra Singh
OOD
14
29
0
18 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
29
45
0
16 Jul 2023
Distill-SODA: Distilling Self-Supervised Vision Transformer for
  Source-Free Open-Set Domain Adaptation in Computational Pathology
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology
Guillaume Vray
Devavrat Tomar
Jean-Philippe Thiran
Behzad Bozorgtabar
MedIm
6
0
0
10 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
17
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
R. He
Jian Liang
OOD
VLM
TTA
33
15
0
06 Jul 2023
Prompting Diffusion Representations for Cross-Domain Semantic
  Segmentation
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation
R. Gong
Martin Danelljan
Hanqi Sun
Julio Mangas
Luc Van Gool
DiffM
VLM
11
12
0
05 Jul 2023
RDumb: A simple approach that questions our progress in continual
  test-time adaptation
RDumb: A simple approach that questions our progress in continual test-time adaptation
Ori Press
Steffen Schneider
Matthias Kümmerer
Matthias Bethge
TTA
17
15
0
08 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
17
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
21
35
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
14
30
0
01 Jun 2023
Low-rank extended Kalman filtering for online learning of neural
  networks from streaming data
Low-rank extended Kalman filtering for online learning of neural networks from streaming data
Peter Chang
Gerardo Duran-Martín
Alexander Y. Shestopaloff
Matt Jones
Kevin P. Murphy
BDL
30
17
0
31 May 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond
Efficient ConvBN Blocks for Transfer Learning and Beyond
Kaichao You
Guo Qin
Anchang Bao
Mengsi Cao
Ping-Chia Huang
Jiulong Shan
Mingsheng Long
11
1
0
19 May 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
21
1
0
21 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
14
5
0
20 Apr 2023
Continual Domain Adaptation through Pruning-aided Domain-specific Weight
  Modulation
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation
B. Prasanna
Sunandini Sanyal
R. Venkatesh Babu
CLL
14
4
0
15 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
H. Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei-Neng Chen
Shuicheng Yan
CLL
TTA
22
3
0
13 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
Bernard Ghanem
TTA
16
2
0
10 Apr 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source
  Domain Adaptation
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
Qi Chen
M. Marchand
OOD
17
5
0
04 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online
  modeling for complex systems
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kicic
Pantelis R. Vlachas
G. Arampatzis
Michail Chatzimanolakis
Leonidas J. Guibas
P. Koumoutsakos
AI4CE
22
6
0
04 Apr 2023
Online Distillation with Continual Learning for Cyclic Domain Shifts
Online Distillation with Continual Learning for Cyclic Domain Shifts
Joachim Houyon
A. Cioppa
Yasir Ghunaim
Motasem Alfarra
Anaïs Halin
Maxim Henry
Bernard Ghanem
Marc Van Droogenbroeck
CLL
14
8
0
03 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
K. Jia
TTA
OOD
ObjD
13
5
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
13
56
0
30 Mar 2023
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
Taeyeop Lee
Jonathan Tremblay
Valts Blukis
Bowen Wen
Byeong-uk Lee
Inkyu Shin
Stan Birchfield
In So Kweon
Kuk-Jin Yoon
TTA
27
33
0
29 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
25
201
0
27 Mar 2023
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