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Chaos to Order: A Label Propagation Perspective on Source-Free Domain
  Adaptation

Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation

20 January 2023
Chunwei Wu
Guitao Cao
Yan Li
Xidong Xi
Wenming Cao
Hong Wang
    TTA
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Papers citing "Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation"

30 / 30 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
197
488
0
26 Feb 2025
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
L. Yi
Gezheng Xu
Pengcheng Xu
Jiaqi Li
Ruizhi Pu
Charles Ling
A. McLeod
Boyu Wang
68
41
0
31 Jan 2023
Divide and Contrast: Source-free Domain Adaptation via Adaptive
  Contrastive Learning
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
Ziyi Zhang
Weikai Chen
Hui Cheng
Zerui Li
Siyuan Li
Liang Lin
Guanbin Li
36
67
0
12 Nov 2022
Uncertainty-Induced Transferability Representation for Source-Free
  Unsupervised Domain Adaptation
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation
Jiangbo Pei
Zhuqing Jiang
Aidong Men
Liang Chen
Yang Liu
Qingchao Chen
65
28
0
30 Aug 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
65
93
0
16 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation
Confidence Score for Source-Free Unsupervised Domain Adaptation
Jonghyun Lee
Dahuin Jung
Junho Yim
Sung-Hoon Yoon
TTA
48
74
0
14 Jun 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain
  Adaptation
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
62
138
0
09 May 2022
Source-Free Domain Adaptation via Distribution Estimation
Source-Free Domain Adaptation via Distribution Estimation
Ning Ding
Yixing Xu
Yehui Tang
Chao Xu
Yunhe Wang
Dacheng Tao
TTA
44
115
0
24 Apr 2022
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy
  for Source-free Domain Adaptation
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation
Sanqing Qu
Guang Chen
Jing Zhang
Zhijun Li
Wei He
Dacheng Tao
TTA
60
56
0
06 Apr 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
323
888
0
15 Oct 2021
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
92
244
0
08 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
201
219
0
07 Oct 2021
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Amit Singh
Varun Jampani
R. Venkatesh Babu
TTA
58
123
0
25 Aug 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
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
A Theory of Label Propagation for Subpopulation Shift
A Theory of Label Propagation for Subpopulation Shift
Tianle Cai
Ruiqi Gao
Jason D. Lee
Qi Lei
58
50
0
22 Feb 2021
How does the Combined Risk Affect the Performance of Unsupervised Domain
  Adaptation Approaches?
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
Zhong Li
Zhen Fang
Feng Liu
Jie Lu
Bo Yuan
Guangquan Zhang
59
55
0
30 Dec 2020
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled
  Data
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei
Kendrick Shen
Yining Chen
Tengyu Ma
SSL
75
230
0
07 Oct 2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Yuan Wu
Diana Inkpen
Ahmed El-Roby
47
168
0
07 Jul 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
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
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
208
3,480
0
30 Sep 2019
Bridging Theory and Algorithm for Domain Adaptation
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
73
710
0
11 Apr 2019
Label Propagation for Deep Semi-supervised Learning
Label Propagation for Deep Semi-supervised Learning
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
SSL
80
622
0
09 Apr 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
100
834
0
04 Jan 2019
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
798
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
2,039
0
22 Jun 2017
Low-shot learning with large-scale diffusion
Low-shot learning with large-scale diffusion
Matthijs Douze
Arthur Szlam
Bharath Hariharan
Hervé Jégou
57
113
0
07 Jun 2017
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
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