Yang, S.Q.[Shi-Qi],
Wang, Y.X.[Ya-Xing],
van de Weijer, J.[Joost],
Herranz, L.[Luis],
Jui, S.L.[Shang-Ling],
Yang, J.[Jian],
Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal
Neighborhood Clustering,
PAMI(45), No. 12, December 2023, pp. 15883-15895.
IEEE DOI
2311
BibRef
Zhou, L.H.[Li-Hua],
Li, N.[Nianxin],
Ye, M.[Mao],
Zhu, X.T.[Xia-Tian],
Tang, S.[Song],
Source-free domain adaptation with Class Prototype Discovery,
PR(145), 2024, pp. 109974.
Elsevier DOI
2311
Source-free domain adaptation, Class prototype discovery,
Pseudo-labels, Prototype regularization
BibRef
Tang, S.[Song],
Su, W.X.[Wen-Xin],
Ye, M.[Mao],
Zhu, X.T.[Xia-Tian],
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model,
CVPR24(23711-23720)
IEEE DOI
2410
Adaptation models, Codes, Computational modeling, Training data,
Data models, Domain Adaptation, Customization
BibRef
Tang, S.[Song],
Chang, A.[An],
Zhang, F.[Fabian],
Zhu, X.T.[Xia-Tian],
Ye, M.[Mao],
Zhang, C.S.[Chang-Shui],
Source-Free Domain Adaptation via Target Prediction Distribution
Searching,
IJCV(132), No. 3, March 2024, pp. 654-672.
Springer DOI
2402
BibRef
He, J.J.[Jiu-Jun],
Wu, L.[Liang],
Tao, C.F.[Chao-Fan],
Lv, F.[Fengmao],
Source-free domain adaptation with unrestricted source hypothesis,
PR(149), 2024, pp. 110246.
Elsevier DOI Code:
WWW Link.
2403
Domain adaptation, Privacy protection, Transfer learning, Deep learning
BibRef
Tang, S.[Song],
Shi, Y.[Yuji],
Song, Z.H.[Zi-Hao],
Ye, M.[Mao],
Zhang, C.S.[Chang-Shui],
Zhang, J.W.[Jian-Wei],
Progressive Source-Aware Transformer for Generalized Source-Free
Domain Adaptation,
MultMed(26), 2024, pp. 4138-4152.
IEEE DOI
2403
Transformers, Adaptation models, Trajectory, Task analysis,
Semantics, Self-supervised learning, Data models, object cognition
BibRef
Hu, B.Y.[Bing-Yu],
Liu, J.W.[Jia-Wei],
Zheng, K.C.[Ke-Cheng],
Zha, Z.J.[Zheng-Jun],
Unleashing Knowledge Potential of Source Hypothesis for Source-Free
Domain Adaptation,
MultMed(26), 2024, pp. 5422-5434.
IEEE DOI
2404
Transformers, Adaptation models, Feature extraction, Task analysis,
Data models, Semantics, Transfer learning, Domain adaptation,
vision transformer
BibRef
Sun, Z.S.[Zhi-Shu],
Lin, L.J.[Luo-Jun],
Yu, Y.L.[Yuan-Long],
You only label once: A self-adaptive clustering-based method for
source-free active domain adaptation,
IET-IPR(18), No. 5, 2024, pp. 1268-1282.
DOI Link
2404
image recognition
BibRef
Li, J.J.[Jing-Jing],
Yu, Z.Q.[Zhi-Qi],
Du, Z.K.[Zhe-Kai],
Zhu, L.[Lei],
Shen, H.T.[Heng Tao],
A Comprehensive Survey on Source-Free Domain Adaptation,
PAMI(46), No. 8, August 2024, pp. 5743-5762.
IEEE DOI
2407
Survey, Domain Adaption. Training, Surveys, Transfer learning, Adaptation models,
Task analysis, Data models, Data privacy, data-free learning,
transfer learning
BibRef
Luo, J.Y.[Jun-Yu],
Gu, Y.Y.[Yi-Yang],
Luo, X.[Xiao],
Ju, W.[Wei],
Xiao, Z.P.[Zhi-Ping],
Zhao, Y.S.[Yu-Sheng],
Yuan, J.Y.[Jing-Yang],
Zhang, M.[Ming],
GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free
Domain Adaptation,
PAMI(46), No. 12, December 2024, pp. 9038-9051.
IEEE DOI
2411
Adaptation models, Graph neural networks, Transforms, Semantics,
Accuracy, Training, Stochastic processes, Graph diffusion model,
source-free domain adaptation
BibRef
Pan, Z.C.[Zi-Cheng],
Yu, X.H.[Xiao-Han],
Zhang, W.C.[Wei-Chuan],
Gao, Y.S.[Yong-Sheng],
Overcoming learning bias via Prototypical Feature Compensation for
source-free domain adaptation,
PR(158), 2025, pp. 111025.
Elsevier DOI
2411
Source-free domain adaptation, Learning bias, Feature compensation
BibRef
Cho, H.[Hyeonwoo],
Park, C.[Chanmin],
Kim, D.H.[Dong-Hee],
Kim, J.[Jinyoung],
Kim, W.H.[Won Hwa],
CNG-SFDA: Clean-and-noisy Region Guided Online-offline Source-free
Domain Adaptation,
ACCV24(VIII: 139-157).
Springer DOI
2412
BibRef
Lyu, M.Y.[Meng-Yao],
Hao, T.X.[Tian-Xiang],
Xu, X.H.[Xin-Hao],
Chen, H.[Hui],
Lin, Z.[Zijia],
Han, J.G.[Jun-Gong],
Ding, G.[Guiguang],
Learn from the Learnt: Source-free Active Domain Adaptation via
Contrastive Sampling and Visual Persistence,
ECCV24(I: 228-246).
Springer DOI
2412
BibRef
Michele, B.[Björn],
Boulch, A.[Alexandre],
Vu, T.H.[Tuan-Hung],
Puy, G.[Gilles],
Marlet, R.[Renaud],
Courty, N.[Nicolas],
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised
3d Domain Adaptation,
ECCV24(XX: 1-19).
Springer DOI
2412
BibRef
Hao, Y.[Yan],
Forest, F.[Florent],
Fink, O.[Olga],
Simplifying Source-free Domain Adaptation for Object Detection:
Effective Self-training Strategies and Performance Insights,
ECCV24(LIV: 196-213).
Springer DOI
2412
BibRef
Tejero-de-Pablos, A.[Antonio],
Togashi, R.[Riku],
Otani, M.[Mayu],
Satoh, S.[Shin'ichi],
Robust Nearest Neighbors for Source-free Domain Adaptation Under Class
Distribution Shift,
ECCV24(LXXII: 1-17).
Springer DOI
2412
BibRef
Diamant, I.[Idit],
Rosenfeld, A.[Amir],
Achituve, I.[Idan],
Goldberger, J.[Jacob],
Netzer, A.[Arnon],
De-confusing Pseudo-labels in Source-free Domain Adaptation,
ECCV24(LXXIX: 108-125).
Springer DOI
2412
BibRef
Khramtsova, E.[Ekaterina],
Baktashmotlagh, M.[Mahsa],
Zuccon, G.[Guido],
Wang, X.[Xi],
Salzmann, M.[Mathieu],
Source-free Domain-invariant Performance Prediction,
ECCV24(LXXX: 99-116).
Springer DOI
2412
BibRef
Yoon, I.[Ilhoon],
Kwon, H.J.[Hyeong-Jun],
Kim, J.[Jin],
Park, J.[Junyoung],
Jang, H.[Hyunsung],
Sohn, K.[Kwanghoon],
Enhancing Source-Free Domain Adaptive Object Detection with
Low-Confidence Pseudo Label Distillation,
ECCV24(LXXXIV: 337-353).
Springer DOI
2412
BibRef
Xia, H.F.[Hai-Feng],
Xia, S.[Siyu],
Ding, Z.M.[Zheng-Ming],
Discriminative Pattern Calibration Mechanism for Source-Free Domain
Adaptation,
CVPR24(23648-23658)
IEEE DOI
2410
Adaptation models, Semantics, Benchmark testing, Robustness,
Filling, Calibration
BibRef
Mitsuzumi, Y.[Yu],
Kimura, A.[Akisato],
Kashima, H.[Hisashi],
Understanding and Improving Source-Free Domain Adaptation from a
Theoretical Perspective,
CVPR24(28515-28524)
IEEE DOI
2410
Training, Adaptation models, Computational modeling,
Benchmark testing, Theoretical Analysis
BibRef
Zhang, W.Q.[Wen-Qiao],
Lv, Z.[Zheqi],
Revisiting the Domain Shift and Sample Uncertainty in Multi-source
Active Domain Transfer,
CVPR24(16751-16761)
IEEE DOI Code:
WWW Link.
2410
Deep learning, Adaptation models, Uncertainty,
Measurement uncertainty, Training data, Benchmark testing
BibRef
Hu, X.F.[Xue-Feng],
Zhang, K.[Ke],
Xia, L.[Lu],
Chen, A.[Albert],
Luo, J.J.[Jia-Jia],
Sun, Y.[Yuyin],
Wang, K.[Ken],
Qiao, N.[Nan],
Zeng, X.[Xiao],
Sun, M.[Min],
Kuo, C.H.[Cheng-Hao],
Nevatia, R.[Ram],
ReCLIP: Refine Contrastive Language Image Pre-Training with Source
Free Domain Adaptation,
WACV24(2982-2991)
IEEE DOI
2404
Visualization, Adaptation models, Computational modeling,
Benchmark testing, Task analysis, Image classification, Algorithms
BibRef
Qu, S.Q.[San-Qing],
Zou, T.P.[Tian-Pei],
He, L.H.[Liang-Hua],
Röhrbein, F.[Florian],
Knoll, A.[Alois],
Chen, G.[Guang],
Jiang, C.J.[Chang-Jun],
LEAD: Learning Decomposition for Source-free Universal Domain
Adaptation,
CVPR24(23334-23343)
IEEE DOI Code:
WWW Link.
2410
Codes, Data protection, Clustering algorithms, Lead,
Iterative methods, Transfer Learning
BibRef
Tang, L.X.[Long-Xiang],
Li, K.[Kai],
He, C.M.[Chun-Ming],
Zhang, Y.[Yulun],
Li, X.[Xiu],
Consistency Regularization for Generalizable Source-free Domain
Adaptation,
OutDistri23(4325-4335)
IEEE DOI
2401
BibRef
Ahmed, S.[Sabbir],
Al Arafat, A.[Abdullah],
Rizve, M.N.[Mamshad Nayeem],
Hossain, R.[Rahim],
Guo, Z.S.[Zhi-Shan],
Rakin, A.S.[Adnan Siraj],
SSDA: Secure Source-Free Domain Adaptation,
ICCV23(19123-19133)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, W.Y.[Wen-Yu],
Shen, L.[Li],
Foo, C.S.[Chuan-Sheng],
Rethinking the Role of Pre-Trained Networks in Source-Free Domain
Adaptation,
ICCV23(18795-18805)
IEEE DOI
2401
BibRef
Karim, N.[Nazmul],
Mithun, N.C.[Niluthpol Chowdhury],
Rajvanshi, A.[Abhinav],
Chiu, H.P.[Han-Pang],
Samarasekera, S.[Supun],
Rahnavard, N.[Nazanin],
C-SFDA: A Curriculum Learning Aided Self-Training Framework for
Efficient Source Free Domain Adaptation,
CVPR23(24120-24131)
IEEE DOI
2309
BibRef
Wang, F.[Fan],
Han, Z.Y.[Zhong-Yi],
Zhang, Z.Y.[Zhi-Yan],
He, R.D.[Run-Dong],
Yin, Y.L.[Yi-Long],
MHPL: Minimum Happy Points Learning for Active Source Free Domain
Adaptation,
CVPR23(20008-20018)
IEEE DOI
2309
BibRef
Li, K.[Kai],
Patel, D.[Deep],
Kruus, E.[Erik],
Min, M.R.[Martin Renqiang],
Source-Free Video Domain Adaptation with Spatial-Temporal-Historical
Consistency Learning,
CVPR23(14643-14652)
IEEE DOI
2309
BibRef
Zhang, Y.X.[Yi-Xin],
Wang, Z.[Zilei],
He, W.N.[Wei-Nan],
Class Relationship Embedded Learning for Source-Free Unsupervised
Domain Adaptation,
CVPR23(7619-7629)
IEEE DOI
2309
BibRef
Kothandaraman, D.[Divya],
Shekhar, S.[Sumit],
Sancheti, A.[Abhilasha],
Ghuhan, M.[Manoj],
Shukla, T.[Tripti],
Manocha, D.[Dinesh],
SALAD: Source-free Active Label-Agnostic Domain Adaptation for
Classification, Segmentation and Detection,
WACV23(382-391)
IEEE DOI
2302
Knowledge engineering, Visualization, Image segmentation,
Data privacy, Uncertainty, Codes, algorithms, (including transfer)
BibRef
Chhabra, S.[Sachin],
Venkateswara, H.[Hemanth],
Li, B.X.[Bao-Xin],
Generative Alignment of Posterior Probabilities for Source-free
Domain Adaptation,
WACV23(4114-4123)
IEEE DOI
2302
Adaptation models, MIMICs, Generators,
Algorithms: Machine learning architectures, formulations,
algorithms (including transfer)
BibRef
Xu, Y.C.[Yue-Cong],
Yang, J.F.[Jian-Fei],
Cao, H.Z.[Hao-Zhi],
Wu, K.Y.[Ke-Yu],
Wu, M.[Min],
Chen, Z.H.[Zheng-Hua],
Source-Free Video Domain Adaptation by Learning Temporal Consistency
for Action Recognition,
ECCV22(XXXIV:147-164).
Springer DOI
2211
BibRef
Qu, S.Q.[San-Qing],
Chen, G.[Guang],
Zhang, J.[Jing],
Li, Z.J.[Zhi-Jun],
He, W.[Wei],
Tao, D.C.[Da-Cheng],
BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy
for Source-Free Domain Adaptation,
ECCV22(XXXIV:165-182).
Springer DOI
2211
BibRef
Roy, S.[Subhankar],
Trapp, M.[Martin],
Pilzer, A.[Andrea],
Kannala, J.H.[Ju-Ho],
Sebe, N.[Nicu],
Ricci, E.[Elisa],
Solin, A.[Arno],
Uncertainty-Guided Source-Free Domain Adaptation,
ECCV22(XXV:537-555).
Springer DOI
2211
BibRef
Sanyal, S.[Sunandini],
Asokan, A.R.[Ashish Ramayee],
Bhambri, S.[Suvaansh],
Pradyumna, Y.M.,
Kulkarni, A.[Akshay],
Kundu, J.N.[Jogendra Nath],
Babu, R.V.[R. Venkatesh],
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain
Adaptation,
WACV24(1893-1902)
IEEE DOI
2404
Training, Correlation, Shape, Cause effect analysis,
Computer architecture, Benchmark testing, Algorithms,
Image recognition and understanding
BibRef
Sanyal, S.[Sunandini],
Asokan, A.R.[Ashish Ramayee],
Bhambri, S.[Suvaansh],
Kulkarni, A.[Akshay],
Kundu, J.N.[Jogendra Nath],
Babu, R.V.[R. Venkatesh],
Domain-Specificity Inducing Transformers for Source-Free Domain
Adaptation,
ICCV23(18882-18891)
IEEE DOI
2401
BibRef
Kundu, J.N.[Jogendra Nath],
Bhambri, S.[Suvaansh],
Kulkarni, A.[Akshay],
Sarkar, H.[Hiran],
Jampani, V.[Varun],
Babu, R.V.[R. Venkatesh],
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain
Adaptation,
ECCV22(XXX:177-194).
Springer DOI
2211
BibRef
Yazdanpanah, M.[Moslem],
Moradi, P.[Parham],
Visual Domain Bridge: A source-free domain adaptation for
cross-domain few-shot learning,
FaDE-TCV22(2867-2876)
IEEE DOI
2210
Bridges, Training, Deep learning, Visualization, Neural networks
BibRef
Wang, F.[Fan],
Han, Z.Y.[Zhong-Yi],
Gong, Y.S.[Yong-Shun],
Yin, Y.L.[Yi-Long],
Exploring Domain-Invariant Parameters for Source Free Domain
Adaptation,
CVPR22(7141-7150)
IEEE DOI
2210
Adaptation models, Classification algorithms, Image classification,
Machine learning
BibRef
Kundu, J.N.[Jogendra Nath],
Venkat, N.[Naveen],
Rahul, M.V.,
Babu, R.V.[R. Venkatesh],
Universal Source-Free Domain Adaptation,
CVPR20(4543-4552)
IEEE DOI
2008
Adaptation models, Procurement, Data models, Training, Reliability,
Real-time systems, Animals
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Open-Set Domain Adaptation .