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Moment Matching for Multi-Source Domain Adaptation
v1v2v3v4 (latest)

Moment Matching for Multi-Source Domain Adaptation

4 December 2018
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
    OOD
ArXiv (abs)PDFHTML

Papers citing "Moment Matching for Multi-Source Domain Adaptation"

50 / 1,212 papers shown
ERM++: An Improved Baseline for Domain Generalization
ERM++: An Improved Baseline for Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Piotr Teterwak
Kuniaki Saito
Theodoros Tsiligkaridis
Kate Saenko
Bryan A. Plummer
OOD
291
14
0
04 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization
Randomized Adversarial Style Perturbations for Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Taehoon Kim
Bohyung Han
AAML
187
5
0
04 Apr 2023
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain
  Shift
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain ShiftEuropean Conference on Computer Vision (ECCV), 2023
Patrick M. Jensen
Anders B. Dahl
Carsten Gundlach
Rebecca J Engberg
H. Kjer
Vedrana Andersen Dahl
164
1
0
04 Apr 2023
Personalized Federated Learning with Local Attention
Sicong Liang
Junchao Tian
Shujun Yang
Yu Zhang
FedML
80
1
0
02 Apr 2023
Sketch-based Video Object Localization
Sketch-based Video Object LocalizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Sangmin Woo
So-Yeong Jeon
Jinyoung Park
Minji Son
Sumin Lee
Changick Kim
438
0
0
02 Apr 2023
Simple Domain Generalization Methods are Strong Baselines for Open
  Domain Generalization
Simple Domain Generalization Methods are Strong Baselines for Open Domain GeneralizationIEEE International Joint Conference on Neural Network (IJCNN), 2023
Masashi Noguchi
Shinichi Shirakawa
VLMAI4CE
138
7
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 AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Nazmul Karim
Niluthpol Chowdhury Mithun
Abhinav Rajvanshi
Han-Pang Chiu
S. Samarasekera
Nazanin Rahnavard
TTA
217
83
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 LearningIEEE International Conference on Computer Vision (ICCV), 2023
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
264
11
0
28 Mar 2023
TFS-ViT: Token-Level Feature Stylization for Domain Generalization
TFS-ViT: Token-Level Feature Stylization for Domain GeneralizationPattern Recognition (Pattern Recogn.), 2023
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Ismail Ben Ayed
Christian Desrosiers
169
22
0
28 Mar 2023
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
GeoNet: Benchmarking Unsupervised Adaptation across GeographiesComputer Vision and Pattern Recognition (CVPR), 2023
Tarun Kalluri
Wangdong Xu
Manmohan Chandraker
OOD
201
18
0
27 Mar 2023
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Unsupervised Adaptation from Repeated Traversals for Autonomous DrivingNeural Information Processing Systems (NeurIPS), 2023
Yurong You
Cheng Perng Phoo
Katie Z Luo
Travis Zhang
Wei-Lun Chao
Bharath Hariharan
Mark E. Campbell
Kilian Q. Weinberger
155
14
0
27 Mar 2023
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste SortingNeural Information Processing Systems (NeurIPS), 2023
D. Bashkirova
Samarth Mishra
Diala Lteif
Piotr Teterwak
Donghyun Kim
...
Shahaf Ettedgui
Raja Giryes
Shady Abu Hussein
Binhui Xie
Shuangliang Li
OOD
190
11
0
26 Mar 2023
Train/Test-Time Adaptation with Retrieval
Train/Test-Time Adaptation with RetrievalComputer Vision and Pattern Recognition (CVPR), 2023
Luca Zancato
Alessandro Achille
Tian Yu Liu
Matthew Trager
Pramuditha Perera
Stefano Soatto
TTAOOD
201
14
0
25 Mar 2023
Robust Test-Time Adaptation in Dynamic Scenarios
Robust Test-Time Adaptation in Dynamic ScenariosComputer Vision and Pattern Recognition (CVPR), 2023
Longhui Yuan
Binhui Xie
Shuangliang Li
TTA
335
187
0
24 Mar 2023
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game
  Perspective
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game PerspectiveComputer Vision and Pattern Recognition (CVPR), 2023
Jinjing Zhu
Haotian Bai
Lin Wang
ViT
246
104
0
23 Mar 2023
Improving Generalization with Domain Convex Game
Improving Generalization with Domain Convex GameComputer Vision and Pattern Recognition (CVPR), 2023
Fangrui Lv
Jian Liang
Shuang Li
Jinming Zhang
Di Liu
202
8
0
23 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
A Bag-of-Prototypes Representation for Dataset-Level ApplicationsComputer Vision and Pattern Recognition (CVPR), 2023
Wei-Chih Tu
Weijian Deng
Tom Gedeon
Liang Zheng
217
14
0
23 Mar 2023
First Session Adaptation: A Strong Replay-Free Baseline for
  Class-Incremental Learning
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023
A. Panos
Yuriko Kobe
Daniel Olmeda Reino
Rahaf Aljundi
Richard Turner
CLL
540
52
0
23 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation
Calibrated Out-of-Distribution Detection with a Generic Representation
Tomás Vojír
Jan Sochman
Rahaf Aljundi
Juan E. Sala Matas
OODDUQCV
303
11
0
23 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case
  Sharpness Minimization
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness MinimizationComputer Vision and Pattern Recognition (CVPR), 2023
Zhuo Huang
Miaoxi Zhu
Xiaobo Xia
Li Shen
Jun Yu
Chen Gong
Bo Han
Bo Du
Tongliang Liu
192
40
0
23 Mar 2023
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical
  Consistency for Efficient Semi-supervised Learning
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised LearningComputer Vision and Pattern Recognition (CVPR), 2023
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
175
27
0
22 Mar 2023
Unsupervised Domain Adaptation for Training Event-Based Networks Using
  Contrastive Learning and Uncorrelated Conditioning
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated ConditioningIEEE International Conference on Computer Vision (ICCV), 2023
Dayuan Jian
Mohammad Rostami
157
19
0
22 Mar 2023
Trainable Projected Gradient Method for Robust Fine-tuning
Trainable Projected Gradient Method for Robust Fine-tuningComputer Vision and Pattern Recognition (CVPR), 2023
Junjiao Tian
Xiaoliang Dai
Chih-Yao Ma
Zecheng He
Yen-Cheng Liu
Z. Kira
253
47
0
19 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Lijun Sheng
Jian Liang
Ran He
Zilei Wang
Tien-Ping Tan
AAML
263
6
0
19 Mar 2023
Sharpness-Aware Gradient Matching for Domain Generalization
Sharpness-Aware Gradient Matching for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Pengfei Wang
Zhaoxiang Zhang
Zhen Lei
Lei Zhang
290
144
0
18 Mar 2023
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset
  and Baseline Performances
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline PerformancesIEEE International Conference on Robotics and Automation (ICRA), 2023
Arun V. Reddy
Ketul Shah
William Paul
Rohita Mocharla
Judy Hoffman
Kapil D. Katyal
Dinesh Manocha
Celso M. de Melo
Ramalingam Chellappa
178
30
0
17 Mar 2023
A Unified Continual Learning Framework with General Parameter-Efficient
  Tuning
A Unified Continual Learning Framework with General Parameter-Efficient TuningIEEE International Conference on Computer Vision (ICCV), 2023
Qiankun Gao
Chen Zhao
Yifan Sun
Teng Xi
Qiang Chen
Guohao Li
Shuai Liu
CLL
372
135
0
17 Mar 2023
Finding Competence Regions in Domain Generalization
Finding Competence Regions in Domain Generalization
Jens Müller
Stefan T. Radev
R. Schmier
Felix Dräxler
Carsten Rother
Ullrich Kothe
347
4
0
17 Mar 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
TeSLA: Test-Time Self-Learning With Automatic Adversarial AugmentationComputer Vision and Pattern Recognition (CVPR), 2023
Devavrat Tomar
Guillaume Vray
Behzad Bozorgtabar
Jean-Philippe Thiran
TTA
192
45
0
17 Mar 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical
  Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingComputer Vision and Pattern Recognition (CVPR), 2023
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
387
25
0
16 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Tianpeng Liu
532
26
0
15 Mar 2023
Domain Generalization via Nuclear Norm Regularization
Domain Generalization via Nuclear Norm Regularization
Zhenmei Shi
Yifei Ming
Ying Fan
Frederic Sala
Yingyu Liang
269
19
0
13 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedInternational Journal of Computer Vision (IJCV), 2023
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
235
168
0
13 Mar 2023
Domain Generalization in Machine Learning Models for Wireless
  Communications: Concepts, State-of-the-Art, and Open Issues
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open IssuesIEEE Communications Surveys and Tutorials (COMST), 2023
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
Ekram Hossain
OODAI4CE
248
48
0
13 Mar 2023
Upcycling Models under Domain and Category Shift
Upcycling Models under Domain and Category ShiftComputer Vision and Pattern Recognition (CVPR), 2023
Sanqing Qu
Tianpei Zou
Florian Roehrbein
Cewu Lu
Guang-Sheng Chen
Dacheng Tao
Changjun Jiang
229
61
0
13 Mar 2023
Towards domain-invariant Self-Supervised Learning with Batch Styles
  Standardization
Towards domain-invariant Self-Supervised Learning with Batch Styles StandardizationInternational Conference on Learning Representations (ICLR), 2023
Marin Scalbert
Maria Vakalopoulou
Florent Couzinié-Devy
334
4
0
10 Mar 2023
Generative Model Based Noise Robust Training for Unsupervised Domain
  Adaptation
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation
Zhongying Deng
Da Li
Junjun He
Yi-Zhe Song
Tao Xiang
171
1
0
10 Mar 2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a
  Pre-trained Model
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained ModelIEEE International Conference on Computer Vision (ICCV), 2023
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling-Hao Chen
Yunchao Wei
CLL
448
166
0
09 Mar 2023
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation
  and Gradual Alignment
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual AlignmentIEEE transactions on multimedia (IEEE TMM), 2023
Jinghan Ru
Jun Tian
Zhekai Du
Chengwei Xiao
Jingjing Li
Mengqi Li
270
25
0
08 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 AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
401
104
0
07 Mar 2023
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in
  Transfer Learning
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer LearningNeural Information Processing Systems (NeurIPS), 2023
Ildus Sadrtdinov
Dmitrii Pozdeev
Dmitry Vetrov
E. Lobacheva
239
7
0
06 Mar 2023
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Adaptive Texture Filtering for Single-Domain Generalized SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2023
Xinhui Li
Mingjiang Li
Yaxing Wang
Chuan-Xian Ren
Xiaojie Guo
230
6
0
06 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with
  Frequency for Domain Generalization
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Sangrok Lee
Jongseong Bae
Ha Young Kim
OOD
268
50
0
04 Mar 2023
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised
  Domain Adaptation
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
Wenxi Xiao
Zhengming Ding
Hongfu Liu
FAtt
156
2
0
04 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
  Neural Networks
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2023
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMeOOD
325
27
0
28 Feb 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Dirichlet-based Uncertainty Calibration for Active Domain AdaptationInternational Conference on Learning Representations (ICLR), 2023
Mixue Xie
Shuang Li
Rui Zhang
Chi Harold Liu
UQCV
177
42
0
27 Feb 2023
The Role of Pre-training Data in Transfer Learning
The Role of Pre-training Data in Transfer Learning
R. Entezari
Mitchell Wortsman
O. Saukh
M. Shariatnia
Hanie Sedghi
Ludwig Schmidt
189
27
0
27 Feb 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier
  Amplitude Approach
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude ApproachInternational Conference on Learning Representations (ICLR), 2023
Minyoung Kim
Da Li
Timothy M. Hospedales
OOD
166
16
0
23 Feb 2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Unsupervised Domain Adaptation via Distilled Discriminative ClusteringPattern Recognition (Pattern Recogn.), 2022
Hui Tang
Yaowei Wang
Kui Jia
OOD
162
48
0
23 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain AdaptationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
Mengqi Li
TTA
366
197
0
23 Feb 2023
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