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Cycle Self-Training for Domain Adaptation

Cycle Self-Training for Domain Adaptation

5 March 2021
Hong Liu
Jianmin Wang
Mingsheng Long
ArXivPDFHTML

Papers citing "Cycle Self-Training for Domain Adaptation"

50 / 109 papers shown
Title
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
Jindong Li
Y. Li
Yali Fu
Jiahong Liu
Yixin Liu
Menglin Yang
Irwin King
VLM
36
0
0
19 Apr 2025
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation
Johannes Spoecklberger
W. Lin
Pedro Hermosilla
Sivan Doveh
Horst Possegger
M. Jehanzeb Mirza
19
0
0
19 Apr 2025
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
Xiao Lin
Zhichen Zeng
Tianxin Wei
Zhining Liu
Yuzhong Chen
Hanghang Tong
AI4TS
32
0
0
05 Apr 2025
A Unified Framework for Heterogeneous Semi-supervised Learning
Marzi Heidari
Abdullah Alchihabi
Hao Yan
Yuhong Guo
32
0
0
01 Mar 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
A. Nguyen
Lam C. Tran
Anh Tong
Tuan-Duy H. Nguyen
Toan M. Tran
40
1
0
31 Dec 2024
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces
Anxhelo Diko
Antonino Furnari
Luigi Cinque
G. Farinella
88
0
0
23 Nov 2024
Improving self-training under distribution shifts via anchored
  confidence with theoretical guarantees
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo
Diego Klabjan
UQCV
49
0
0
01 Nov 2024
BiPC: Bidirectional Probability Calibration for Unsupervised Domain
  Adaption
BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption
Wenlve Zhou
Zhiheng Zhou
Junyuan Shang
Chang Niu
Mingyue Zhang
Xiyuan Tao
Tianlei Wang
20
0
0
29 Sep 2024
Unsupervised Attention Regularization Based Domain Adaptation for Oracle
  Character Recognition
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition
Mei Wang
Weihong Deng
Jiani Hu
Sen Su
33
0
0
24 Sep 2024
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
Ming Jin
Danni Zhang
Gangming Zhao
Changde Du
Jinpeng Li
TTA
35
0
0
24 Sep 2024
Open-World Test-Time Training: Self-Training with Contrast Learning
Open-World Test-Time Training: Self-Training with Contrast Learning
Houcheng Su
Mengzhu Wang
Jiao Li
Bingli Wang
Daixian Liu
Zeheng Wang
VLM
26
0
0
15 Sep 2024
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Minhee Cho
Hyesong Choi
Hayeon Jo
Dongbo Min
27
1
0
04 Sep 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
Yarin Bar
Shalev Shaer
Yaniv Romano
TTA
OOD
53
3
0
14 Aug 2024
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for
  Hyperspectral Image Unsupervised Domain Adaptation
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
Jie Feng
Tianshu Zhang
Junpeng Zhang
Ronghua Shang
Weisheng Dong
G. Shi
Licheng Jiao
27
2
0
11 Aug 2024
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Wenlve Zhou
Zhiheng Zhou
VLM
36
6
0
05 Aug 2024
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly
  Supervised Semantic Segmentation
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation
Ye Du
Zehua Fu
Qingjie Liu
25
1
0
04 Aug 2024
Boosting Cross-Domain Point Classification via Distilling Relational
  Priors from 2D Transformers
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers
Longkun Zou
Wanru Zhu
Ke Chen
Lihua Guo
K. Guo
Kui Jia
Yaowei Wang
3DPC
ViT
40
0
0
26 Jul 2024
Enhancing Source-Free Domain Adaptive Object Detection with
  Low-confidence Pseudo Label Distillation
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
Ilhoon Yoon
Hyeongjun Kwon
Jin-Hwa Kim
Junyoung Park
Hyunsung Jang
Kwanghoon Sohn
35
4
0
18 Jul 2024
Parameter-Selective Continual Test-Time Adaptation
Parameter-Selective Continual Test-Time Adaptation
Jiaxu Tian
Fan Lyu
TTA
CLL
49
1
0
02 Jul 2024
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
Jinjing Zhu
Yucheng Chen
Lin Wang
VLM
46
3
0
01 Jul 2024
Geometric Understanding of Discriminability and Transferability for
  Visual Domain Adaptation
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Xiao-Lin Xu
Qingshan Liu
44
1
0
24 Jun 2024
Adversarial Reweighting with $α$-Power Maximization for Domain
  Adaptation
Adversarial Reweighting with ααα-Power Maximization for Domain Adaptation
Xiang Gu
Xi Yu
Yan Yang
Jian Sun
Zongben Xu
41
0
0
26 Apr 2024
Socialized Learning: A Survey of the Paradigm Shift for Edge
  Intelligence in Networked Systems
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
Xiaofei Wang
Yunfeng Zhao
Chao Qiu
Qinghua Hu
Victor C. M. Leung
27
6
0
20 Apr 2024
Consistency and Uncertainty: Identifying Unreliable Responses From
  Black-Box Vision-Language Models for Selective Visual Question Answering
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
Zaid Khan
Yun Fu
AAML
29
8
0
16 Apr 2024
Rethinking Self-training for Semi-supervised Landmark Detection: A
  Selection-free Approach
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach
Haibo Jin
Haoxuan Che
Hao Chen
43
0
0
06 Apr 2024
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive
  Segmentation
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
Wenlve Zhou
Zhiheng Zhou
Tianlei Wang
Delu Zeng
35
0
0
22 Mar 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan L. Yuille
26
1
0
12 Mar 2024
Split to Merge: Unifying Separated Modalities for Unsupervised Domain
  Adaptation
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
Xinyao Li
Yuke Li
Zhekai Du
Fengling Li
Ke Lu
Jingjing Li
VLM
46
4
0
11 Mar 2024
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in
  Images and Videos
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri
Bodhisattwa Prasad Majumder
Manmohan Chandraker
VLM
29
4
0
08 Mar 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
38
15
0
05 Mar 2024
Few-shot Learner Parameterization by Diffusion Time-steps
Few-shot Learner Parameterization by Diffusion Time-steps
Zhongqi Yue
Pan Zhou
Richang Hong
Hanwang Zhang
Qianru Sun
36
11
0
05 Mar 2024
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Inseop Chung
Kyomin Hwang
Jayeon Yoo
Nojun Kwak
TTA
49
0
0
02 Mar 2024
Robust Training of Federated Models with Extremely Label Deficiency
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang
Zhiqin Yang
Xinmei Tian
Nannan Wang
Tongliang Liu
Bo Han
FedML
27
6
0
22 Feb 2024
Phrase Grounding-based Style Transfer for Single-Domain Generalized
  Object Detection
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection
Hao Li
Wei Wang
Cong Wang
Zhigang Luo
Xinwang Liu
KenLi Li
Xiaochun Cao
ObjD
26
0
0
02 Feb 2024
Domain Adaptation for Large-Vocabulary Object Detectors
Domain Adaptation for Large-Vocabulary Object Detectors
Kai Jiang
Jiaxing Huang
Weiying Xie
Jie Lei
Yunsong Li
Ling Shao
Shijian Lu
ObjD
VLM
32
2
0
13 Jan 2024
Self-supervised Learning for Enhancing Geometrical Modeling in 3D-Aware
  Generative Adversarial Network
Self-supervised Learning for Enhancing Geometrical Modeling in 3D-Aware Generative Adversarial Network
Jiarong Guo
Xiaogang Xu
Hengshuang Zhao
31
1
0
19 Dec 2023
SPOT: Self-Training with Patch-Order Permutation for Object-Centric
  Learning with Autoregressive Transformers
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
Ioannis Kakogeorgiou
Spyros Gidaris
Konstantinos Karantzalos
N. Komodakis
ViT
OCL
15
12
0
01 Dec 2023
Self-Annotated 3D Geometric Learning for Smeared Points Removal
Self-Annotated 3D Geometric Learning for Smeared Points Removal
Miaowei Wang
Daniel Morris
3DPC
19
3
0
15 Nov 2023
Domain Adaptive Object Detection via Balancing Between Self-Training and
  Adversarial Learning
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
ObjD
41
5
0
08 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Jike Zhong
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
34
3
0
02 Nov 2023
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework
  for Medical Image Segmentation
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Jiesi Hu
Yanwu Yang
Xutao Guo
Jinghua Wang
Heather Ting Ma
MedIm
33
1
0
27 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved
  Calibration and Model Selection in Unsupervised Domain Adaptation
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation
Taejong Joo
Diego Klabjan
33
1
0
16 Oct 2023
Learning Transferable Conceptual Prototypes for Interpretable
  Unsupervised Domain Adaptation
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation
Junyu Gao
Xinhong Ma
Changsheng Xu
26
4
0
12 Oct 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
70
22
0
26 Sep 2023
Make the U in UDA Matter: Invariant Consistency Learning for
  Unsupervised Domain Adaptation
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
Zhongqi Yue
Hanwang Zhang
Qianru Sun
OOD
31
16
0
22 Sep 2023
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for
  Echocardiogram Video Segmentation
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
Jiewen Yang
Xinpeng Ding
Ziyang Zheng
Xiaowei Xu
Xiaomeng Li
OOD
27
9
0
20 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
13
4
0
18 Sep 2023
Image-level supervision and self-training for transformer-based
  cross-modality tumor segmentation
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Malo de Boisredon
Eugene Vorontsov
W. Le
Samuel Kadoury
MedIm
ViT
25
0
0
17 Sep 2023
Trustworthy Representation Learning Across Domains
Trustworthy Representation Learning Across Domains
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Zhixuan Chu
Xiang Yu
Sheng R. Li
FaML
AI4TS
31
2
0
23 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
K. Jia
OOD
VLM
TTA
22
18
0
19 Aug 2023
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