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Polycentric Clustering and Structural Regularization for Source-free
  Unsupervised Domain Adaptation

Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation

14 October 2022
Xinyu Guan
Han Sun
Ningzhong Liu
Huiyu Zhou
ArXivPDFHTML

Papers citing "Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation"

39 / 39 papers shown
Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
199
488
0
26 Feb 2025
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain
  Adaptation
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
94
244
0
08 Oct 2021
Generalized Source-free Domain Adaptation
Generalized Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
66
254
0
03 Aug 2021
Nearest Neighborhood-Based Deep Clustering for Source Data-absent
  Unsupervised Domain Adaptation
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
Song Tang
Yan Yang
Zhiyuan Ma
Norman Hendrich
Fanyu Zeng
Shiping Ge
Changshui Zhang
Jianwei Zhang
OOD
54
13
0
27 Jul 2021
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain
  Adaptation
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Qi Tian
68
24
0
13 Jul 2021
Source-free Domain Adaptation via Avatar Prototype Generation and
  Adaptation
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
Zhen Qiu
Yifan Zhang
Hongbin Lin
Shuaicheng Niu
Yanxia Liu
Qing Du
Mingkui Tan
TTA
78
169
0
18 Jun 2021
Source-Free Domain Adaptation for Semantic Segmentation
Source-Free Domain Adaptation for Semantic Segmentation
Yuang Liu
Wei Zhang
Jun Wang
41
252
0
30 Mar 2021
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
Jiayi Tian
Jing Zhang
Wen Li
Dong Xu
TTA
32
96
0
26 Mar 2021
Unsupervised Domain Adaptation in the Absence of Source Data
Unsupervised Domain Adaptation in the Absence of Source Data
Roshni Sahoo
Divya Shanmugam
John Guttag
OOD
51
18
0
20 Jul 2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Yuan Wu
Diana Inkpen
Ahmed El-Roby
49
168
0
07 Jul 2020
Domain Adaptation without Source Data
Domain Adaptation without Source Data
Youngeun Kim
Donghyeon Cho
Kyeongtak Han
Priyadarshini Panda
Sungeun Hong
TTA
86
176
0
03 Jul 2020
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo
Andrea Maracani
Umberto Michieli
Pietro Zanuttigh
SSeg
98
182
0
21 May 2020
Universal Source-Free Domain Adaptation
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLM
TTA
61
342
0
09 Apr 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization
  under Label Insufficient Situations
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Q. Tian
78
364
0
27 Mar 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang
Ke Chen
Kui Jia
CML
OOD
59
272
0
19 Mar 2020
Adapting Object Detectors with Conditional Domain Normalization
Adapting Object Detectors with Conditional Domain Normalization
Peng Su
Kun Wang
Xingyu Zeng
Shixiang Tang
Dapeng Chen
Di Qiu
Xiaogang Wang
144
86
0
16 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
93
1,238
0
20 Feb 2020
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
107
837
0
08 Aug 2019
Beyond Intra-modality: A Survey of Heterogeneous Person
  Re-identification
Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification
Zheng Wang
Zhixiang Wang
Yinqiang Zheng
Yang Wu
Wenjun Zeng
Shiníchi Satoh
65
63
0
24 May 2019
Domain-Symmetric Networks for Adversarial Domain Adaptation
Domain-Symmetric Networks for Adversarial Domain Adaptation
Yabin Zhang
Hui Tang
Kui Jia
Mingkui Tan
OOD
60
322
0
09 Apr 2019
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Zhijie Deng
Yucen Luo
Jun Zhu
OOD
63
217
0
24 Mar 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
119
541
0
10 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
101
769
0
09 Mar 2019
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
128
1,788
0
04 Dec 2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen
Wen Li
Daniel Gehrig
Dengxin Dai
Luc Van Gool
OOD
ObjD
102
1,299
0
08 Mar 2018
A DIRT-T Approach to Unsupervised Domain Adaptation
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu
Hung Bui
Hirokazu Narui
Stefano Ermon
72
621
0
23 Feb 2018
Image to Image Translation for Domain Adaptation
Image to Image Translation for Domain Adaptation
Zak Murez
Soheil Kolouri
D. Kriegman
R. Ramamoorthi
Kyungnam Kim
OOD
57
528
0
01 Dec 2017
Image-Image Domain Adaptation with Preserved Self-Similarity and
  Domain-Dissimilarity for Person Re-identification
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
Weijian Deng
Liang Zheng
QiXiang Ye
Guoliang Kang
Yezhou Yang
Jianbin Jiao
76
901
0
19 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
269
9,743
0
25 Oct 2017
VisDA: The Visual Domain Adaptation Challenge
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
OOD
81
800
0
18 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
129
2,041
0
22 Jun 2017
Learning Discrete Representations via Information Maximizing
  Self-Augmented Training
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu
Takeru Miyato
Seiya Tokui
Eiichi Matsumoto
Masashi Sugiyama
76
449
0
28 Feb 2017
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
107
1,449
0
22 Aug 2016
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
88
2,457
0
21 May 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
84
1,488
0
14 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
366
9,467
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
215
5,189
0
10 Feb 2015
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
231
6,019
0
26 Sep 2014
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