Yang, Y.H.[Yan-Hua],
Zhang, X.Z.[Xiao-Zhe],
Yang, M.[Muli],
Deng, C.[Cheng],
Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot
Learning,
MultMed(25), 2023, pp. 280-290.
IEEE DOI
2301
Visualization, Semantics, Generators, Training,
Generative adversarial networks, Data models, Benchmark testing,
bias problem
BibRef
Wang, R.Q.[Rui-Qi],
Qi, L.[Lei],
Shi, Y.H.[Ying-Huan],
Gao, Y.[Yang],
Better pseudo-label: Joint domain-aware label and dual-classifier for
semi-supervised domain generalization,
PR(133), 2023, pp. 108987.
Elsevier DOI
2210
Semi-supervised learning, Domain generalization,
Image recognition, Feature representation
BibRef
Zhou, K.Y.[Kai-Yang],
Loy, C.C.[Chen Change],
Liu, Z.W.[Zi-Wei],
Semi-Supervised Domain Generalization with Stochastic StyleMatch,
IJCV(131), No. 9, September 2023, pp. 2377-2387.
Springer DOI
2308
BibRef
Hong, M.Y.[Ming-Yao],
Zhang, X.F.[Xin-Feng],
Li, G.R.[Guo-Rong],
Huang, Q.M.[Qing-Ming],
Multi-Modal Multi-Grained Embedding Learning for Generalized
Zero-Shot Video Classification,
CirSysVideo(33), No. 10, October 2023, pp. 5959-5972.
IEEE DOI
2310
BibRef
Hong, M.Y.[Ming-Yao],
Zhang, X.F.[Xin-Feng],
Li, G.R.[Guo-Rong],
Huang, Q.M.[Qing-Ming],
A Multi-Modal Knowledge-Driven Approach for Generalized Zero-shot Video
Classification,
IJCV(134), No. 1, January 2026, pp. 28.
Springer DOI
2601
BibRef
Wang, M.Z.[Meng-Zhu],
Liu, Y.H.[Yue-Hua],
Yuan, J.L.[Jian-Long],
Wang, S.S.[Shan-Shan],
Wang, Z.B.[Zhi-Bin],
Wang, W.[Wei],
Inter-Class and Inter-Domain Semantic Augmentation for Domain
Generalization,
IP(33), 2024, pp. 1338-1347.
IEEE DOI
2402
Semantics, Data augmentation, Training, Self-supervised learning,
Painting, Data models, inter-domain
BibRef
Lin, L.J.[Luo-Jun],
Xie, H.[Han],
Sun, Z.S.[Zhi-Shu],
Chen, W.J.[Wei-Jie],
Liu, W.X.[Wen-Xi],
Yu, Y.L.[Yuan-Long],
Zhang, L.[Lei],
Semi-supervised domain generalization with evolving intermediate
domain,
PR(149), 2024, pp. 110280.
Elsevier DOI
2403
Domain generalization, Unsupervised domain adaptation,
Semi-supervised learning, Transfer learning
BibRef
Zhang, Y.B.[Ya-Bin],
Deng, B.[Bin],
Jia, K.[Kui],
Zhang, L.[Lei],
Label Propagation with Augmented Anchors: A Simple Semi-supervised
Learning Baseline for Unsupervised Domain Adaptation,
ECCV20(IV:781-797).
Springer DOI
2011
BibRef
Huo, X.Y.[Xin-Yue],
Xie, L.X.[Ling-Xi],
Hu, H.T.[Heng-Tong],
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
Tian, Q.[Qi],
Domain-Agnostic Priors for Semantic Segmentation Under Unsupervised
Domain Adaptation and Domain Generalization,
IJCV(132), No. 1, January 2024, pp. 3954-3976.
Springer DOI
2409
BibRef
Zhong, Y.Y.[Yang-Yang],
Yan, Y.F.[Yun-Feng],
Luo, P.X.[Peng-Xin],
He, W.Z.[Wei-Zhen],
Deng, Y.H.[Yi-Heng],
Qi, D.L.[Dong-Lian],
MDRN: Multi-domain representation network for unsupervised domain
generalization,
IET-IPR(19), No. 1, 2025, pp. e13283.
DOI Link
2501
image processing
BibRef
Gong, Q.K.[Qin-Kang],
Pan, Y.[Yan],
Lai, H.J.[Han-Jiang],
Yin, J.[Jian],
A Causal Intervention Method for Domain Generalization with a
Self-Supervised Auxiliary Task,
IJCV(133), No. 10, October 2025, pp. 7110-7127.
Springer DOI
2511
BibRef
Yu, E.[Eric],
Liao, C.[Christopher],
Ravi, S.[Sathvik],
Tsiligkaridis, T.[Theodoros],
Kulis, B.[Brian],
Image-Caption Encoding for Improving Zero-Shot Generalization,
WACV25(6977-6986)
IEEE DOI Code:
WWW Link.
2505
Image coding, Sensitivity, Codes, Accuracy, Predictive models,
Image classification, ood, zero-shot, classification, vision-language
BibRef
Palakkadavath, R.[Ragja],
Le, H.[Hung],
Nguyen-Tang, T.[Thanh],
Gupta, S.I.[Sun-Il],
Venkatesh, S.[Svetha],
Fair Domain Generalization with Heterogeneous Sensitive Attributes
Across Domains,
WACV25(7389-7398)
IEEE DOI Code:
WWW Link.
2505
Codes, Current measurement, Computational modeling,
Zero shot learning, Predictive models, domain generalization,
covariate shift
BibRef
Sui, E.[Elaine],
Wang, X.H.[Xiao-Han],
Yeung-Levy, S.[Serena],
Just Shift It: Test-Time Prototype Shifting for Zero-Shot
Generalization with Vision-Language Models,
WACV25(825-835)
IEEE DOI Code:
WWW Link.
2505
Training, Visualization, Adaptation models, Accuracy,
Computational modeling, Zero shot learning, Prototypes, Vectors, Tuning
BibRef
Galappaththige, C.J.[Chamuditha Jayanaga],
Izzo, Z.[Zachary],
He, X.L.[Xi-Lin],
Zhou, H.L.[Hong-Lu],
Khan, M.H.[Muhammad Haris],
Domain-Guided Weight Modulation for Semi-Supervised Domain
Generalization,
WACV25(6495-6505)
IEEE DOI
2505
Training, Deep learning, Costs, Modulation, Semisupervised learning,
Search problems, Data models, Vectors, Mathematical models
BibRef
Yao, Y.Q.[Yuan-Qi],
Wu, G.[Gang],
Jiang, K.[Kui],
Liu, S.[Siao],
Kuai, J.[Jian],
Liu, X.M.[Xian-Ming],
Jiang, J.J.[Jun-Jun],
Improving Domain Generalization in Self-supervised Monocular Depth
Estimation via Stabilized Adversarial Training,
ECCV24(XXIV: 183-201).
Springer DOI
2412
BibRef
Dong, H.[Hao],
Chatzi, E.[Eleni],
Fink, O.[Olga],
Towards Multimodal Open-set Domain Generalization and Adaptation
Through Self-supervision,
ECCV24(LIX: 270-287).
Springer DOI
2412
BibRef
Feng, R.[Ruoyu],
Yu, T.[Tao],
Jin, X.[Xin],
Yu, X.Y.[Xiao-Yuan],
Xiao, L.[Lei],
Chen, Z.B.[Zhi-Bo],
Rethinking Domain Adaptation and Generalization in the ERA Of Clip,
ICIP24(2585-2591)
IEEE DOI
2411
Adaptation models, Benchmark testing, Task analysis, Tuning,
Unsupervised domain adaptation, Domain generalization,
Self-training
BibRef
Galappaththige, C.J.[Chamuditha Jayanga],
Baliah, S.[Sanoojan],
Gunawardhana, M.[Malitha],
Khan, M.H.[Muhammad Haris],
Towards Generalizing to Unseen Domains with Few Labels,
CVPR24(23691-23700)
IEEE DOI
2410
Training, Codes, Semantics, Semisupervised learning,
Benchmark testing, Data models, Domain Generalization
BibRef
Rongali, S.B.[Sai Bhargav],
Mehrotra, S.[Sarthak],
Jha, A.[Ankit],
Hassan, N.C.M.[N.C. Mohamad],
Bose, S.[Shirsha],
Gupta, T.[Tanisha],
Singha, M.[Mainak],
Banerjee, B.[Biplab],
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery,
L3D-IVU24(2616-2626)
IEEE DOI
2410
Training, Measurement, Refining, Prototypes, Contrastive learning,
Novel Class Discovery, Semi-supervised Learning, Cross-Domain Learning
BibRef
Feinglass, J.[Joshua],
Thiagarajan, J.J.[Jayaraman J.],
Anirudh, R.[Rushil],
Jayram, T.S.,
Yang, Y.Z.[Ye-Zhou],
'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for
Generalized Zero-Shot Learning,
ZeroShot24(7791-7798)
IEEE DOI
2410
Image recognition, Zero-shot learning, Prototypes, Ear, Detectors,
Feature extraction, Vectors, zero-shot learning,
few-shot learning
BibRef
Liu, R.[Ran],
Khose, S.[Sahil],
Xiao, J.Y.[Jing-Yun],
Sathidevi, L.[Lakshmi],
Ramnath, K.[Keerthan],
Kira, Z.[Zsolt],
Dyer, E.L.[Eva L.],
LatentDR: Improving Model Generalization Through Sample-Aware Latent
Degradation and Restoration,
WACV24(2657-2667)
IEEE DOI Code:
WWW Link.
2404
Degradation, Deep learning, Training, Adaptation models,
Training data, Space mapping, Self-supervised learning, Algorithms,
Biomedical / healthcare / medicine
BibRef
Liu, Y.C.[Yu-Chen],
Wang, Y.M.[Yao-Ming],
Chen, Y.[Yabo],
Dai, W.R.[Wen-Rui],
Li, C.L.[Cheng-Lin],
Zou, J.[Junni],
Xiong, H.K.[Hong-Kai],
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive
Learning for Unsupervised Domain Generalization,
CVPR23(3510-3519)
IEEE DOI
2309
BibRef
Mondal, B.[Biswajit],
Biswas, S.[Soma],
SEIC: Semantic Embedding with Intermediate Classes for Zero-shot Domain
Generalization,
ACCV22(V:333-350).
Springer DOI
2307
BibRef
Zhang, X.X.[Xing-Xuan],
Zhou, L.J.[Lin-Jun],
Xu, R.Z.[Ren-Zhe],
Cui, P.[Peng],
Shen, Z.[Zheyan],
Liu, H.X.[Hao-Xin],
Towards Unsupervised Domain Generalization,
CVPR22(4900-4910)
IEEE DOI
2210
Representation learning, Analytical models, Protocols,
Computational modeling, Data models,
Vision applications and systems
BibRef
Harary, S.[Sivan],
Schwartz, E.[Eli],
Arbelle, A.[Assaf],
Staar, P.[Peter],
Abu-Hussein, S.[Shady],
Amrani, E.[Elad],
Herzig, R.[Roei],
Alfassy, A.[Amit],
Giryes, R.[Raja],
Kuehne, H.[Hilde],
Katabi, D.[Dina],
Saenko, K.[Kate],
Feris, R.S.[Rogerio S.],
Karlinsky, L.[Leonid],
Unsupervised Domain Generalization by Learning a Bridge Across
Domains,
CVPR22(5270-5280)
IEEE DOI
2210
Bridges, Training, Representation learning, Visualization, Semantics,
Self-supervised learning, Visual systems, Recognition: detection,
Representation learning
BibRef
Lv, F.[Fangrui],
Liang, J.[Jian],
Li, S.[Shuang],
Zang, B.[Bin],
Liu, C.H.[Chi Harold],
Wang, Z.T.[Zi-Teng],
Liu, D.[Di],
Causality Inspired Representation Learning for Domain Generalization,
CVPR22(8036-8046)
IEEE DOI
2210
Representation learning, Data models,
Classification algorithms,
Self- semi- meta- unsupervised learning
BibRef
Yüksel, O.K.[Oguz Kaan],
Stich, S.U.[Sebastian U.],
Jaggi, M.[Martin],
Chavdarova, T.[Tatjana],
Semantic Perturbations with Normalizing Flows for Improved
Generalization,
ICCV21(6599-6609)
IEEE DOI
2203
Training, Deep learning, Image coding, Perturbation methods,
Semantics, Neural networks, Optimization and learning methods,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Mansilla, L.[Lucas],
Echeveste, R.[Rodrigo],
Milone, D.H.[Diego H.],
Ferrante, E.[Enzo],
Domain Generalization via Gradient Surgery,
ICCV21(6610-6618)
IEEE DOI
2203
Training, Surgery, Interference,
Picture archiving and communication systems, Data models,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Kim, D.[Daehee],
Yoo, Y.[Youngjun],
Park, S.H.[Seung-Hyun],
Kim, J.[Jinkyu],
Lee, J.[Jaekoo],
SelfReg: Self-supervised Contrastive Regularization for Domain
Generalization,
ICCV21(9599-9608)
IEEE DOI
2203
Training, Deep learning, Computational modeling,
Perturbation methods, Benchmark testing, Feature extraction,
Efficient training and inference methods
BibRef
Wang, Z.J.[Zi-Jian],
Luo, Y.[Yadan],
Qiu, R.H.[Rui-Hong],
Huang, Z.[Zi],
Baktashmotlagh, M.[Mahsa],
Learning to Diversify for Single Domain Generalization,
ICCV21(814-823)
IEEE DOI
2203
Training, Upper bound, Codes, Semantics, Benchmark testing,
Optimization, Recognition and classification,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Mangla, P.[Puneet],
Chandhok, S.[Shivam],
Balasubramanian, V.N.[Vineeth N.],
Khan, F.S.[Fahad Shahbaz],
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes
in Unseen Domains,
WACV22(1618-1627)
IEEE DOI
2202
Visualization, Adaptation models, Fuses, Semantics,
Buildings, Benchmark testing, Transfer, Few-shot,
Semi- and Un- supervised Learning Deep Learning
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Multi-Task Learning, Multiple Tasks, Transfer Learning, Domain Adaption .