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Domain Generalization and Adaptation Using Low Rank Exemplar SVMs,
PAMI(40), No. 5, May 2018, pp. 1114-1127.
IEEE DOI
1804
Linear programming, Logistics, Support vector machines, Testing,
Training, Videos, Visualization, Latent domains, domain adaptation,
exemplar SVMs
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Deep Domain Adaptation by Geodesic Distance Minimization,
TASKCV17(2651-2657)
IEEE DOI
1802
Adaptation models, Covariance matrices, Euclidean distance,
Feature extraction, Manifolds, Training data, Visualization
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Elsevier DOI
2102
Domain adaptation, Generalization bound,
Class-conditional domain invariant learning, Transfer Learning
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GMFAD: Towards Generalized Visual Recognition via Multilayer Feature
Alignment and Disentanglement,
PAMI(44), No. 3, March 2022, pp. 1289-1303.
IEEE DOI
2202
Adaptation models, Machine learning, Training, Task analysis,
Data models, Correlation, Training data, Generalization capability,
visual recognition
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Wang, H.[Hao],
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Domain generalization and adaptation based on second-order style
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PR(127), 2022, pp. 108595.
Elsevier DOI
2205
Domain generalization, Unsupervised domain adaptation,
Two-level style normalization and restitution,
Dynamic affine parameter
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Yuan, M.L.[Ming-Lei],
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A novel forget-update module for few-shot domain generalization,
PR(129), 2022, pp. 108704.
Elsevier DOI
2206
Few-shot classification, Domain adaptation, Few-shot domain generalization
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Wang, Y.[Yue],
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Feature-Based Style Randomization for Domain Generalization,
CirSysVideo(32), No. 8, August 2022, pp. 5495-5509.
IEEE DOI
2208
Training, Data models, Adaptation models, Feature extraction,
Standards, Training data, Task analysis, Domain generalization,
style randomization
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CVIU(222), 2022, pp. 103503.
Elsevier DOI
2209
Meta learning, Conditional variational, Domain generalization,
Wasserstein distance
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Pfister, N.[Niklas],
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Gnecco, N.[Nicola],
Peters, J.[Jonas],
A Causal Framework for Distribution Generalization,
PAMI(44), No. 10, October 2022, pp. 6614-6630.
IEEE DOI
2209
Training, Predictive models, Analytical models, Mathematical model,
Training data, Testing, Task analysis, Distribution generalization,
domain adaptation
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Du, D.P.[Da-Peng],
Chen, J.W.[Jia-Wei],
Li, Y.X.[Yue-Xiang],
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Zheng, Y.F.[Ye-Feng],
Wang, L.M.[Li-Min],
Cross-Domain Gated Learning for Domain Generalization,
IJCV(130), No. 11, November 2022, pp. 2842-2857.
Springer DOI
2210
BibRef
Wang, R.Q.[Rui-Qi],
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Better pseudo-label: Joint domain-aware label and dual-classifier for
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PR(133), 2023, pp. 108987.
Elsevier DOI
2210
Semi-supervised learning, Domain generalization,
Image recognition, Feature representation
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Chen, S.T.[Sen-Tao],
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Domain Generalization by Joint-Product Distribution Alignment,
PR(134), 2023, pp. 109086.
Elsevier DOI
2212
Distribution alignment, Distribution divergence,
Domain generalization, Feature transformation
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Tian, C.X.[Chris Xing],
Li, H.L.[Hao-Liang],
Xie, X.F.[Xiao-Fei],
Liu, Y.[Yang],
Wang, S.Q.[Shi-Qi],
Neuron Coverage-Guided Domain Generalization,
PAMI(45), No. 1, January 2023, pp. 1302-1311.
IEEE DOI
2212
Neurons, Training, Task analysis, Semantics, Computer bugs, Training data,
Software, Gradient similarity, neuron coverage, out-of-distribution
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Tonioni, A.[Alessio],
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Batch normalization embeddings for deep domain generalization,
PR(135), 2023, pp. 109115.
Elsevier DOI
2212
Domain generalization, Domain representation learning,
Learning from multiple sources
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Wang, Y.Q.[Yun-Qi],
Liu, F.[Furui],
Chen, Z.T.[Zhi-Tang],
Wu, Y.C.[Yik-Chung],
Hao, J.[Jianye],
Chen, G.Y.[Guang-Yong],
Heng, P.A.[Pheng-Ann],
Contrastive-ACE: Domain Generalization Through Alignment of Causal
Mechanisms,
IP(32), 2023, pp. 235-250.
IEEE DOI
2301
Training, Feature extraction, Data models, Task analysis, Training data,
Predictive models, Optimization, Causal inference, deep learning
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Yuan, J.K.[Jun-Kun],
Ma, X.[Xu],
Chen, D.F.[De-Fang],
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Wu, F.[Fei],
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Domain-Specific Bias Filtering for Single Labeled Domain Generalization,
IJCV(131), No. 2, February 2023, pp. 552-571.
Springer DOI
2301
BibRef
Liu, Y.J.[Ya-Jing],
Xiong, Z.W.[Zhi-Wei],
Li, Y.[Ya],
Tian, X.[Xinmei],
Zha, Z.J.[Zheng-Jun],
Domain Generalization Via Encoding and Resampling in a Unified Latent
Space,
MultMed(25), 2023, pp. 126-139.
IEEE DOI
2301
Feature extraction, Training, Perturbation methods, Encoding,
Gaussian distribution, Aerospace electronics, Data mining,
adversarial examples
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Yang, Y.H.[Yan-Hua],
Zhang, X.Z.[Xiao-Zhe],
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Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot
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MultMed(25), 2023, pp. 280-290.
IEEE DOI
2301
Visualization, Semantics, Generators, Training,
Generative adversarial networks, Data models, Benchmark testing,
bias problem
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Luna, E.[Elena],
SanMiguel, J.C.[Juan C.],
Martínez, J.M.[José M.],
Carballeira, P.[Pablo],
Graph Neural Networks for Cross-Camera Data Association,
CirSysVideo(33), No. 2, February 2023, pp. 589-601.
IEEE DOI
2302
Cameras, Task analysis, Image edge detection, Message passing,
Graph neural networks, Feature extraction, Data association,
message passing network
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Liu, Z.W.[Zi-Wei],
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Domain Generalization: A Survey,
PAMI(45), No. 4, April 2023, pp. 4396-4415.
IEEE DOI
2303
Survey, Domain Generalization. Data models, Speech recognition, Adaptation models,
Face recognition, Soft sensors, Handwriting recognition, machine learning
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Jing, T.[Taotao],
Ding, Z.M.[Zheng-Ming],
Generative Inference Network for Imbalanced Domain Generalization,
IP(32), 2023, pp. 1694-1704.
IEEE DOI
2303
Feature extraction, Training, Task analysis, Semantics, Robustness,
Data models, Visualization, knowledge transfer
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Zhang, R.P.[Rui-Peng],
Fan, Z.Q.[Zi-Qing],
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Zhang, Y.[Ya],
Fourier-based augmentation with applications to domain generalization,
PR(139), 2023, pp. 109474.
Elsevier DOI
2304
Domain shift, Domain generalization,
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Zhu, S.[Sihan],
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Style and content separation network for remote sensing image
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PandRS(201), 2023, pp. 1-11.
Elsevier DOI
2307
Cross-scene classification, Deep learning,
Domain generalization, Style manipulation
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Liu, Z.W.[Zi-Wei],
Semi-Supervised Domain Generalization with Stochastic StyleMatch,
IJCV(131), No. 9, September 2023, pp. 2377-2387.
Springer DOI
2308
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Zhang, X.[Xin],
Chen, Y.C.[Ying-Cong],
Adaptive Domain Generalization Via Online Disagreement Minimization,
IP(32), 2023, pp. 4247-4258.
IEEE DOI
2308
Adaptation models, Feature extraction, Training, Predictive models,
Data models, Minimization, Entropy, Domain shift,
consistency regularization
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Du, Y.J.[Ying-Jun],
Shen, J.Y.[Jia-Yi],
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Learning to Learn With Variational Inference for Cross-Domain Image
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MultMed(25), 2023, pp. 3319-3328.
IEEE DOI
2309
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Xu, J.[Jun],
Xiong, H.[Huan],
Qiu, Q.A.[Qi-Ang],
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Learning to Learn with Variational Information Bottleneck for Domain
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ECCV20(X:200-216).
Springer DOI
2011
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An Information-Theoretic Method to Automatic Shortcut Avoidance and
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PAMI(45), No. 9, September 2023, pp. 10615-10631.
IEEE DOI
2309
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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
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CirSysVideo(33), No. 10, October 2023, pp. 5959-5972.
IEEE DOI
2310
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PR(143), 2023, pp. 109737.
Elsevier DOI
2310
Domain generalization, Information bottleneck, Representation learning
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Qin, T.[Tiexin],
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Evolving Domain Generalization via Latent Structure-Aware Sequential
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IEEE DOI
2311
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Domain generalization via Inter-domain Alignment and Intra-domain
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PR(146), 2024, pp. 110029.
Elsevier DOI
2311
Domain generalization, Contrastive learning, Image recognition
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Latent Feature Disentanglement for Visual Domain Generalization,
IP(32), 2023, pp. 5751-5763.
IEEE DOI
2311
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IEEE DOI
2311
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Seong, H.S.[Hyun Seok],
Park, S.[Sanguk],
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TCX: Texture and channel swappings for domain generalization,
PRL(175), 2023, pp. 74-80.
Elsevier DOI
2311
Deep learning, Domain generalization, Image classification, Model regularization
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A Dual-Attention Deep Discriminative Domain Generalization Model for
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Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved
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IJCV(132), No. 2, February 2024, pp. 446-465.
Springer DOI
2402
BibRef
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Intra-Source Style Augmentation for Improved Domain Generalization,
WACV23(509-519)
IEEE DOI
2302
Training, Semantic segmentation, Semantics, Layout, Training data,
Predictive models, Network architecture,
image and video synthesis
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Wang, M.Z.[Meng-Zhu],
Liu, Y.H.[Yue-Hua],
Yuan, J.L.[Jian-Long],
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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
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Zhou, K.Y.[Kai-Yang],
Yang, Y.X.[Yong-Xin],
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2402
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NormAUG: Normalization-Guided Augmentation for Domain Generalization,
IP(33), 2024, pp. 1419-1431.
IEEE DOI
2402
Training, Training data, Data augmentation, Data models,
Feature extraction, Ensemble learning, Task analysis,
domain-shift
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Chen, Z.[Zining],
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Zhao, Z.C.[Zhi-Cheng],
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Instance Paradigm Contrastive Learning for Domain Generalization,
CirSysVideo(34), No. 2, February 2024, pp. 1032-1042.
IEEE DOI
2402
Prototypes, Training, Task analysis, Learning systems, Optimization,
Excavation, Representation learning, Instance paradigm,
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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
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Label Propagation with Augmented Anchors: A Simple Semi-supervised
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Cheraghalikhani, M.[Milad],
Bahri, A.[Ali],
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TFS-ViT: Token-level feature stylization for domain generalization,
PR(149), 2024, pp. 110213.
Elsevier DOI
2403
Deep learning, Domain generalization, Vision transformer, Feature stylization
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Learning Generalizable Models via Disentangling Spurious and
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IP(33), 2024, pp. 1627-1642.
IEEE DOI Code:
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2403
Correlation, Feature extraction, Task analysis, Tail, Semantics,
Training, Frequency-domain analysis, Domain generalization,
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Even small correlation and diversity shifts pose dataset-bias issues,
PRL(179), 2024, pp. 87-93.
Elsevier DOI
2403
Distribution shift, Domain generalization, Spurious features,
Medical image analysis, Deep learning
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Kang, J.H.[Jin-Ho],
Kim, T.[Taero],
Kim, Y.[Yewon],
Oh, C.[Changdae],
Jung, J.Y.[Ji-Young],
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Song, K.[Kyungwoo],
Bibimbap: Pre-trained models ensemble for Domain Generalization,
PR(151), 2024, pp. 110391.
Elsevier DOI
2404
Transfer learning, Molecular classification,
Domain generalization, Weight averaging, Ensemble learning, Chemical dataset
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Liu, L.[Lina],
Song, X.B.[Xi-Bin],
Wang, M.M.[Meng-Meng],
Dai, Y.C.[Yu-Chao],
Liu, Y.[Yong],
Zhang, L.J.[Liang-Jun],
AGDF-Net: Learning Domain Generalizable Depth Features With Adaptive
Guidance Fusion,
PAMI(46), No. 5, May 2024, pp. 3137-3155.
IEEE DOI
2404
Estimation, Feature extraction, Adaptive systems, Task analysis,
Navigation, Synthetic data, Training, Depth estimation,
adaptive guidance fusion
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Wang, Z.[Zhen],
Bai, L.[Lan],
Shao, Y.[Yuanhai],
Generalization Memorization Machine with Zero Empirical Risk for
Classification,
PR(152), 2024, pp. 110469.
Elsevier DOI
2405
Classification, Support vector machine,
Generalization memorization mechanism, Memory machine,
Generalization memorization kernel
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Cheraghalikhani, M.[Milad],
Noori, M.[Mehrdad],
Osowiechi, D.[David],
Hakim, G.A.V.[Gustavo A. Vargas],
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Desrosiers, C.[Christian],
Structure-aware feature stylization for domain generalization,
CVIU(244), 2024, pp. 104016.
Elsevier DOI
2405
Image classification, Domain generalization
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Bai, W.J.[Wen-Jing],
Zhang, Y.Z.[Yun-Zhou],
Wang, L.[Li],
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Hu, J.[Jun],
Huang, G.[Guan],
SADGFeat: Learning local features with layer spatial attention and
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IVC(146), 2024, pp. 105033.
Elsevier DOI
2405
Local feature learning, Domain generalization,
Spatial attention, Image matching, Visual localization
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Chu, J.Z.[Jun-Zheng],
Pan, B.[Bin],
Xu, X.[Xia],
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Shi, Z.W.[Zhen-Wei],
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Joint Variational Inference Network for domain generalization,
PR(154), 2024, pp. 110587.
Elsevier DOI
2406
Domain generalization, Deep learning, Variational Bayesian, Transfer learning
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Yu, X.[Xi],
Tseng, H.H.[Huan-Hsin],
Yoo, S.[Shinjae],
Ling, H.B.[Hai-Bin],
Lin, Y.W.[Yue-Wei],
INSURE: An Information Theory iNspired diSentanglement and
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IP(33), 2024, pp. 3508-3519.
IEEE DOI Code:
WWW Link.
2406
Information theory, Purification, Dogs, Mutual information,
Feature extraction, Data augmentation, Training, disentangle
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Planamente, M.[Mirco],
Plizzari, C.[Chiara],
Peirone, S.A.[Simone Alberto],
Caputo, B.[Barbara],
Bottino, A.[Andrea],
Relative Norm Alignment for Tackling Domain Shift in Deep Multi-Modal
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Springer DOI
2406
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Cannici, M.[Marco],
Plizzari, C.[Chiara],
Planamente, M.[Mirco],
Ciccone, M.[Marco],
Bottino, A.[Andrea],
Caputo, B.[Barbara],
Matteucci, M.[Matteo],
N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation,
EventVision21(1342-1347)
IEEE DOI
2109
Visualization, Neuromorphics, Cameras, Rendering (computer graphics),
Data models
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Chen, K.H.[Kec-Heng],
Gal, E.[Elena],
Yan, H.[Hong],
Li, H.L.[Hao-Liang],
Domain Generalization with Small Data,
IJCV(132), No. 8, August 2024, pp. 3172-3190.
Springer DOI
2408
BibRef
Zhou, P.[Pan],
Xie, X.Y.[Xing-Yu],
Lin, Z.C.[Zhou-Chen],
Yan, S.C.[Shui-Cheng],
Towards Understanding Convergence and Generalization of AdamW,
PAMI(46), No. 9, September 2024, pp. 6486-6493.
IEEE DOI
2408
Convergence, Complexity theory, Optimization, Adaptive algorithms,
Training, Bayes methods, Upper bound, Adaptive gradient algorithms,
generalization of AdamW
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Chen, K.[Kai],
van Laarhoven, T.[Twan],
Marchiori, E.[Elena],
Compressing spectral kernels in Gaussian Process:
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PR(155), 2024, pp. 110642.
Elsevier DOI Code:
WWW Link.
2408
Gaussian Process, Compression, Spectral mixture kernel,
Component pruning, Component merging
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Dong, M.R.[Ming-Rong],
Yang, Y.X.[Yi-Xuan],
Zeng, K.[Kai],
Wang, Q.W.[Qing-Wang],
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Implicit Sharpness-Aware Minimization for Domain Generalization,
RS(16), No. 16, 2024, pp. 2877.
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Zhang, L.[Lin],
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Chen, T.[Tao],
Push-and-Pull: A General Training Framework With Differential
Augmentor for Domain Generalized Point Cloud Classification,
CirSysVideo(34), No. 8, August 2024, pp. 7165-7175.
IEEE DOI
2408
Point cloud compression, Training, Adaptation models,
Solid modeling, Data models, Feature extraction,
transfer learning
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Angarano, S.[Simone],
Martini, M.[Mauro],
Salvetti, F.[Francesco],
Mazzia, V.[Vittorio],
Chiaberge, M.[Marcello],
Back-to-Bones: Rediscovering the role of backbones in domain
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PR(156), 2024, pp. 110762.
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2408
Deep learning, Image classification, Domain generalization, Backbone
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Zhu, L.[Lin],
Yin, W.H.[Wei-Han],
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Wu, F.[Fan],
Zeng, Z.Y.[Zhao-Yu],
Gu, Q.Y.[Qin-Ying],
Wang, X.B.[Xin-Bing],
Zhou, C.H.[Cheng-Hu],
Ye, N.Y.[Nan-Yang],
Vision-Language Alignment Learning Under Affinity and Divergence
Principles for Few-Shot Out-of-Distribution Generalization,
IJCV(132), No. 1, January 2024, pp. 3375-3407.
Springer DOI
2409
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Chen, L.[Liang],
Zhang, Y.[Yong],
Song, Y.B.[Yi-Bing],
Zhang, Z.[Zhen],
Liu, L.Q.[Ling-Qiao],
A Causal Inspired Early-Branching Structure for Domain Generalization,
IJCV(132), No. 1, January 2024, pp. 4052-4072.
Springer DOI
2409
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Chen, L.[Liang],
Zhang, Y.[Yong],
Song, Y.B.[Yi-Bing],
van den Hengel, A.J.[Anton J.],
Liu, L.Q.[Ling-Qiao],
Domain Generalization via Rationale Invariance,
ICCV23(1751-1760)
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WWW Link.
2401
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Huo, X.Y.[Xin-Yue],
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Hu, H.T.[Heng-Tong],
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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
Zhang, J.[Jiao],
Ao, X.[Xiang],
Zhang, X.Y.[Xu-Yao],
Liu, C.L.[Cheng-Lin],
Towards reliable domain generalization:
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PR(157), 2025, pp. 110926.
Elsevier DOI
2409
Distribution shift, Structure learning, Dataset, Evaluation
BibRef
Rui, D.[Ding],
Guo, K.[Kehua],
Zhu, X.Y.[Xiang-Yuan],
Wu, Z.[Zheng],
Fang, H.[Hui],
Progressive Diversity Generation for Single Domain Generalization,
MultMed(26), 2024, pp. 10200-10210.
IEEE DOI
2410
Training, Semantics, Generators, Adaptation models,
Data augmentation, Task analysis, Correlation,
adversarial training
BibRef
Guo, J.T.[Jin-Tao],
Qi, L.[Lei],
Shi, Y.[Yinghuan],
Gao, Y.[Yang],
SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain
Generalization,
IP(33), 2024, pp. 5622-5636.
IEEE DOI Code:
WWW Link.
2410
Shape, Perturbation methods, Image edge detection, Robustness,
Training, Noise, Feature extraction, Data models, Data augmentation,
vision transformer
BibRef
Song, C.B.[Chuan-Biao],
Fan, Y.B.[Yan-Bo],
Zhou, A.Y.[Ao-Yang],
Wu, B.Y.[Bao-Yuan],
Li, Y.M.[Yi-Ming],
Li, Z.F.[Zhi-Feng],
He, K.[Kun],
Regional Adversarial Training for Better Robust Generalization,
IJCV(132), No. 10, October 2024, pp. 4510-4520.
Springer DOI
2410
BibRef
Xu, H.B.[Hong-Bin],
Chen, W.T.[Wei-Tao],
Sun, B.[Baigui],
Xie, X.[Xuansong],
Kang, W.X.[Wen-Xiong],
RobustMVS: Single Domain Generalized Deep Multi-View Stereo,
CirSysVideo(34), No. 10, October 2024, pp. 9181-9194.
IEEE DOI
2411
Costs, Task analysis, Training, Covariance matrices, Visualization,
Benchmark testing, Multi-view stereo, domain generalization,
computer vision
BibRef
Chen, Y.M.[Yi-Ming],
He, N.[Nan],
Sun, L.F.[Li-Feng],
FedAWA: Aggregation Weight Adjustment in Federated Domain
Generalization,
ICIP24(451-457)
IEEE DOI
2411
Training, Uncertainty, Federated learning, Benchmark testing,
Arithmetic, Federated Learning, Federated Domain Generalization,
Aggregation Weights Adjustment
BibRef
Singh, A.[Ankur],
Jayavelu, S.[Senthilnath],
Robust Representation Learning with Self-Distillation for Domain
Generalization,
ICIP24(1179-1185)
IEEE DOI
2411
Representation learning, Accuracy, Artificial neural networks,
Benchmark testing, Transformers, Domain Generalization,
Data Augmentation
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
Fan, Y.H.[Yue-Hui],
Yang, B.[Baoyao],
Shen, M.[Meng],
Lyu, F.[Fei],
Domain Dilation for Single Domain Generalization,
ICIP24(3931-3937)
IEEE DOI
2411
Image transformation, Accuracy, Perturbation methods, Noise,
Benchmark testing, Generators, Image classification,
Single domain generalization
BibRef
Moure, P.[Pehuen],
Cheng, L.B.[Long-Biao],
Ott, J.[Joachim],
Wang, Z.W.[Zuo-Wen],
Liu, S.C.[Shih-Chii],
Regularized Parameter Uncertainty for Improving Generalization in
Reinforcement Learning,
CVPR24(23805-23814)
IEEE DOI
2410
Training, Uncertain systems, Supervised learning, Measurement uncertainty,
Reinforcement learning, signal-to-noise ratio
BibRef
Zhang, J.W.[Jia-Wei],
Li, J.[Jiahe],
Huang, L.[Lei],
Yu, X.H.[Xiao-Han],
Gu, L.[Lin],
Zheng, J.[Jin],
Bai, X.[Xiao],
Robust Synthetic-to-Real Transfer for Stereo Matching,
CVPR24(20247-20257)
IEEE DOI Code:
WWW Link.
2410
Codes, Robustness, Data models, Pattern matching, Synthetic data,
Meteorology, Stereo Matching, Domain Generalization, Knowledge Distillation
BibRef
Yu, H.[Han],
Zhang, X.X.[Xing-Xuan],
Xu, R.Z.[Ren-Zhe],
Liu, J.[Jiashuo],
He, Y.[Yue],
Cui, P.[Peng],
Rethinking the Evaluation Protocol of Domain Generalization,
CVPR24(21897-21908)
IEEE DOI
2410
Training, Protocols, Information leakage, Data models,
Domain Generalization,
Model Evaluation
BibRef
Gavrikov, P.[Paul],
Keuper, J.[Janis],
Can Biases in ImageNet Models Explain Generalization?,
CVPR24(22184-22194)
IEEE DOI Code:
WWW Link.
2410
Training, Deep learning, Shape, Computational modeling,
Neural networks, Tail, imagenet, generalization, bias, robustness
BibRef
Choi, S.[Sua],
Kang, D.[Dahyun],
Cho, M.[Minsu],
Contrastive Mean-Shift Learning for Generalized Category Discovery,
CVPR24(23094-23104)
IEEE DOI
2410
Training, Representation learning, Clustering algorithms,
Estimation, Contrastive learning, Benchmark testing,
self-supervised learning
BibRef
Tan, Z.R.[Zhao-Rui],
Yang, X.[Xi],
Huang, K.[Kaizhu],
Rethinking Multi-Domain Generalization with A General Learning
Objective,
CVPR24(23512-23522)
IEEE DOI
2410
Training, Upper bound, Codes, Cause effect analysis,
Testing, Domain generalization, Invariant representation
BibRef
Yu, G.[Geunhyeok],
Hwang, H.[Hyoseok],
A2XP: Towards Private Domain Generalization,
CVPR24(23544-23553)
IEEE DOI Code:
WWW Link.
2410
Privacy, Adaptation models, Codes, Training data,
Artificial neural networks, Network architecture,
Domain Generalization
BibRef
Cheng, D.[De],
Xu, Z.P.[Zhi-Peng],
Jiang, X.Y.[Xin-Yang],
Wang, N.N.[Nan-Nan],
Li, D.S.[Dong-Sheng],
Gao, X.B.[Xin-Bo],
Disentangled Prompt Representation for Domain Generalization,
CVPR24(23595-23604)
IEEE DOI
2410
Visualization, Large language models, Prototypes,
Picture archiving and communication systems,
Prompt Learning.
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, Semi Supervised Learning
BibRef
Addepalli, S.[Sravanti],
Asokan, A.R.[Ashish Ramayee],
Sharma, L.[Lakshay],
Babu, R.V.[R. Venkatesh],
Leveraging Vision-Language Models for Improving Domain Generalization
in Image Classification,
CVPR24(23922-23932)
IEEE DOI Code:
WWW Link.
2410
Training, Costs, Head, Closed box, Predictive models, Data models,
vision-language models, CLIP, Distillation,
Domain Generalization
BibRef
Pu, N.[Nan],
Li, W.J.[Wen-Jing],
Ji, X.Y.[Xing-Yuan],
Qin, Y.[Yalan],
Sebe, N.[Nicu],
Zhong, Z.[Zhun],
Federated Generalized Category Discovery,
CVPR24(28741-28750)
IEEE DOI Code:
WWW Link.
2410
Training, Degradation, Visualization, Training data,
Contrastive learning, Benchmark testing
BibRef
Ahmed, N.[Noor],
Kukleva, A.[Anna],
Schiele, B.[Bernt],
OrCo: Towards Better Generalization via Orthogonality and Contrast
for Few-Shot Class-Incremental Learning,
CVPR24(28762-28771)
IEEE DOI Code:
WWW Link.
2410
Learning systems, Perturbation methods, Semantics,
Diversity reception, Contrastive learning, Data models,
contrastive loss
BibRef
Chen, Z.[Zining],
Wang, W.Q.[Wei-Qiu],
Zhao, Z.C.[Zhi-Cheng],
Su, F.[Fei],
Men, A.[Aidong],
Meng, H.Y.[Hong-Ying],
PracticalDG: Perturbation Distillation on Vision-Language Models for
Hybrid Domain Generalization,
CVPR24(23501-23511)
IEEE DOI
2410
Measurement, Training, Costs, Perturbation methods,
Computational modeling, Benchmark testing
BibRef
Ma, S.J.[Shi-Jie],
Zhu, F.[Fei],
Zhong, Z.[Zhun],
Zhang, X.Y.[Xu-Yao],
Liu, C.L.[Cheng-Lin],
Active Generalized Category Discovery,
CVPR24(16890-16900)
IEEE DOI Code:
WWW Link.
2410
Training, Uncertainty, Computational modeling,
Clustering algorithms, Transforms,
open-world learning
BibRef
Li, D.[Deng],
Wu, A.[Aming],
Wang, Y.[Yaowei],
Han, Y.[Yahong],
Prompt-Driven Dynamic Object-Centric Learning for Single Domain
Generalization,
CVPR24(17606-17615)
IEEE DOI
2410
Degradation, Adaptation models, Visualization, Object detection,
Predictive models, Feature extraction, Data models
BibRef
Singha, M.[Mainak],
Jha, A.[Ankit],
Bose, S.[Shirsha],
Nair, A.[Ashwin],
Abdar, M.[Moloud],
Banerjee, B.[Biplab],
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open
Domain Generalization,
CVPR24(13309-13319)
IEEE DOI Code:
WWW Link.
2410
Training, Learning systems, Visualization,
Technological innovation, Codes, Face recognition, open domain generalization
BibRef
Peng, Q.[Qucheng],
Zheng, C.[Ce],
Chen, C.[Chen],
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose
Estimation,
CVPR24(2240-2249)
IEEE DOI Code:
WWW Link.
2410
Training, Limiting, Codes, Pose estimation, Data augmentation
BibRef
Bai, S.[Sikai],
Zhang, J.[Jie],
Guo, S.[Song],
Li, S.C.[Shuai-Cheng],
Guo, J.[Jingcai],
Hou, J.[Jun],
Han, T.[Tao],
Lu, X.C.[Xiao-Cheng],
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain
Generalization in Federated Learning,
CVPR24(27274-27283)
IEEE DOI
2410
Training, Measurement, Learning systems, Privacy, Federated learning,
Annotations, Federated Learning, Domain Generalization, Prompt Tuning
BibRef
Le, K.[Khiem],
Ho, L.[Long],
Do, C.[Cuong],
Le-Phuoc, D.[Danh],
Wong, K.S.[Kok-Seng],
Efficiently Assemble Normalization Layers and Regularization for
Federated Domain Generalization,
CVPR24(6027-6036)
IEEE DOI Code:
WWW Link.
2410
Degradation, Data privacy, Costs, Filtering, Federated learning,
Computational modeling, Federated Learning, Federated 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
Yamashita, K.[Kota],
Hotta, K.[Kazuhiro],
MixStyle-Based Contrastive Test-Time Adaptation: Pathway to Domain
Generalization,
MAT24(1029-1037)
IEEE DOI
2410
Training, Adaptation models, Accuracy, Computational modeling,
Contrastive learning, Benchmark testing, Feature extraction,
domain generalization
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
Spanos, N.[Nikolaos],
Arsenos, A.[Anastasios],
Theofilou, P.A.[Paraskevi-Antonia],
Tzouveli, P.[Paraskevi],
Voulodimos, A.[Athanasios],
Kollias, S.[Stefanos],
Complex Style Image Transformations for Domain Generalization in
Medical Images,
DEF-AI-MIA24(5036-5045)
IEEE DOI
2410
Training, Soft sensors, Semantics, Transformers, Robustness,
Complexity theory, domain generalization, image segmentation,
medical image segmentation
BibRef
Luo, Y.[Yiran],
Feinglass, J.[Joshua],
Gokhale, T.[Tejas],
Lee, K.C.[Kuan-Cheng],
Baral, C.[Chitta],
Yang, Y.Z.[Ye-Zhou],
Grounding Stylistic Domain Generalization with Quantitative Domain
Shift Measures and Synthetic Scene Images,
VDU24(7303-7313)
IEEE DOI
2410
Training, Video games, Visualization, Text to image,
Machine learning, Benchmark testing, Feature extraction, Domain Shift
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
Bose, S.[Shirsha],
Jha, A.[Ankit],
Fini, E.[Enrico],
Singha, M.[Mainak],
Ricci, E.[Elisa],
Banerjee, B.[Biplab],
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based
Domain Generalization,
WACV24(5530-5540)
IEEE DOI
2404
Visualization, Limiting, Benchmark testing, Feature extraction,
Task analysis, Algorithms, Image recognition and understanding
BibRef
Chuah, W.[WeiQin],
Tennakoon, R.[Ruwan],
Hoseinnezhad, R.[Reza],
Suter, D.[David],
Bab-Hadiashar, A.[Alireza],
Single Domain Generalization via Normalised Cross-correlation Based
Convolutions,
WACV24(1741-1750)
IEEE DOI
2404
Deep learning, Sensitivity, Convolution, Computational modeling,
Semantics, Training data, Data augmentation, Algorithms
BibRef
Bele, P.[Prathmesh],
Bundele, V.[Valay],
Bhattacharya, A.[Avigyan],
Jha, A.[Ankit],
Roig, G.[Gemma],
Banerjee, B.[Biplab],
Learning Class and Domain Augmentations for Single-Source Open-Domain
Generalization,
WACV24(1805-1815)
IEEE DOI
2404
Training, Measurement, Benchmark testing, Algorithms,
Machine learning architectures, formulations, and algorithms,
Image recognition and understanding
BibRef
Zhang, Z.[Zheyuan],
Wang, B.[Bin],
Jha, D.[Debesh],
Demir, U.[Ugur],
Bagci, U.[Ulas],
Domain Generalization with Correlated Style Uncertainty,
WACV24(1989-1998)
IEEE DOI Code:
WWW Link.
2404
Deep learning, Interpolation, Uncertainty, Correlation,
Computational modeling, Source coding, Algorithms,
Image recognition and understanding
BibRef
Aminbeidokhti, M.[Masih],
Peña, F.A.G.[Fidel A. Guerrero],
Medeiros, H.R.[Heitor Rapela],
Dubail, T.[Thomas],
Granger, E.[Eric],
Pedersoli, M.[Marco],
Domain Generalization by Rejecting Extreme Augmentations,
WACV24(2204-2214)
IEEE DOI Code:
WWW Link.
2404
Training, Deep learning, Codes, Computational modeling,
Data augmentation, Picture archiving and communication systems,
Image recognition and understanding
BibRef
Nguyen, T.[Toan],
Do, K.[Kien],
Duong, B.[Bao],
Nguyen, T.[Thin],
Domain Generalisation via Risk Distribution Matching,
WACV24(2778-2787)
IEEE DOI
2404
Training, Aggregates, Buildings, Benchmark testing,
Approximation algorithms, Computational efficiency, Algorithms
BibRef
Singhal, U.[Utkarsh],
Esteves, C.[Carlos],
Makadia, A.[Ameesh],
Yu, S.X.[Stella X.],
Learning to Transform for Generalizable Instance-wise Invariance,
ICCV23(6188-6198)
IEEE DOI
2401
BibRef
Guo, J.T.[Jin-Tao],
Qi, L.[Lei],
Shi, Y.[Yinghuan],
DomainDrop: Suppressing Domain-Sensitive Channels for Domain
Generalization,
ICCV23(19057-19067)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhao, B.C.[Bing-Chen],
Aodha, O.M.[Oisin Mac],
Incremental Generalized Category Discovery,
ICCV23(19080-19090)
IEEE DOI
2401
BibRef
Jing, M.M.[Meng-Meng],
Zhen, X.T.[Xian-Tong],
Li, J.J.[Jing-Jing],
Snoek, C.G.M.[Cees G. M.],
Order-preserving Consistency Regularization for Domain Adaptation and
Generalization,
ICCV23(18870-18881)
IEEE DOI
2401
BibRef
Cheng, S.[Sheng],
Gokhale, T.[Tejas],
Yang, Y.Z.[Ye-Zhou],
Adversarial Bayesian Augmentation for Single-Source Domain
Generalization,
ICCV23(11366-11376)
IEEE DOI Code:
WWW Link.
2401
BibRef
Huang, Z.Y.[Ze-Yi],
Zhou, A.[Andy],
Lin, Z.J.[Zi-Jian],
Cai, M.[Mu],
Wang, H.H.[Hao-Han],
Lee, Y.J.[Yong Jae],
A Sentence Speaks a Thousand Images: Domain Generalization through
Distilling CLIP with Language Guidance,
ICCV23(11651-11661)
IEEE DOI
2401
BibRef
Jiang, X.Y.[Xue-Ying],
Huang, J.X.[Jia-Xing],
Jin, S.[Sheng],
Lu, S.J.[Shi-Jian],
Domain Generalization via Balancing Training Difficulty and Model
Capability,
ICCV23(18947-18957)
IEEE DOI
2401
BibRef
Hemati, S.[Sobhan],
Zhang, G.J.[Guo-Jun],
Estiri, A.[Amir],
Chen, X.[Xi],
Understanding Hessian Alignment for Domain Generalization,
ICCV23(18958-18968)
IEEE DOI
2401
BibRef
Hu, L.[Lanqing],
Kan, M.[Meina],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
DandelionNet: Domain Composition with Instance Adaptive
Classification for Domain Generalization,
ICCV23(19004-19013)
IEEE DOI
2401
BibRef
Huang, Z.[Zenan],
Wang, H.[Haobo],
Zhao, J.[Junbo],
Zheng, N.G.[Neng-Gan],
iDAG: Invariant DAG Searching for Domain Generalization,
ICCV23(19112-19122)
IEEE DOI Code:
WWW Link.
2401
BibRef
Chattopadhyay, P.[Prithvijit],
Sarangmath, K.[Kartik],
Vijaykumar, V.[Vivek],
Hoffman, J.[Judy],
Pasta: Proportional Amplitude Spectrum Training Augmentation for
Syn-to-Real Domain Generalization,
ICCV23(19231-19243)
IEEE DOI
2401
BibRef
Chen, C.Q.[Chao-Qi],
Tang, L.[Luyao],
Tao, L.[Leitian],
Zhou, H.Y.[Hong-Yu],
Huang, Y.[Yue],
Han, X.G.[Xiao-Guang],
Yu, Y.Z.[Yi-Zhou],
Activate and Reject: Towards Safe Domain Generalization under
Category Shift,
ICCV23(11518-11529)
IEEE DOI
2401
BibRef
Michalkiewicz, M.[Mateusz],
Faraki, M.[Masoud],
Yu, X.[Xiang],
Chandraker, M.[Manmohan],
Baktashmotlagh, M.[Mahsa],
Domain Generalization Guided by Gradient Signal to Noise Ratio of
Parameters,
ICCV23(6154-6165)
IEEE DOI
2401
BibRef
Zhang, X.X.[Xing-Xuan],
Xu, R.Z.[Ren-Zhe],
Yu, H.[Han],
Dong, Y.C.[Yan-Cheng],
Tian, P.F.[Peng-Fei],
Cui, P.[Peng],
Flatness-Aware Minimization for Domain Generalization,
ICCV23(5166-5179)
IEEE DOI
2401
BibRef
Li, C.M.[Chen-Ming],
Zhang, D.[Daoan],
Huang, W.J.[Wen-Jian],
Zhang, J.G.[Jian-Guo],
Cross Contrasting Feature Perturbation for Domain Generalization,
ICCV23(1327-1337)
IEEE DOI Code:
WWW Link.
2401
BibRef
Gholami, B.[Behnam],
El-Khamy, M.[Mostafa],
Song, K.B.[Kee-Bong],
Domain invariant regularization by disentangling content and style
Features for visual domain generalization,
ICIP23(1525-1529)
IEEE DOI
2312
BibRef
Liu, F.F.[Fang-Fu],
Zhang, C.B.[Chu-Bin],
Zheng, Y.[Yu],
Duan, Y.[Yueqi],
Semantic Ray: Learning a Generalizable Semantic Field with
Cross-Reprojection Attention,
CVPR23(17386-17396)
IEEE DOI
2309
BibRef
Lv, F.R.[Fang-Rui],
Liang, J.[Jian],
Li, S.[Shuang],
Zhang, J.M.[Jin-Ming],
Liu, D.[Di],
Improving Generalization with Domain Convex Game,
CVPR23(24315-24324)
IEEE DOI
2309
BibRef
Leclerc, G.[Guillaume],
Ilyas, A.[Andrew],
Engstrom, L.[Logan],
Park, S.M.[Sung Min],
Salman, H.[Hadi],
Madry, A.[Aleksander],
FFCV: Accelerating Training by Removing Data Bottlenecks,
CVPR23(12011-12020)
IEEE DOI
2309
BibRef
Sarfi, A.M.[Amir M.],
Karimpour, Z.[Zahra],
Chaudhary, M.[Muawiz],
Khalid, N.M.[Nasir M.],
Ravanelli, M.[Mirco],
Mudur, S.[Sudhir],
Belilovsky, E.[Eugene],
Simulated Annealing in Early Layers Leads to Better Generalization,
CVPR23(20205-20214)
IEEE DOI
2309
BibRef
Xu, Q.[Qinwei],
Zhang, R.P.[Rui-Peng],
Wu, Y.Y.[Yi-Yan],
Zhang, Y.[Ya],
Liu, N.[Ning],
Wang, Y.F.[Yan-Feng],
SimDE: A Simple Domain Expansion Approach for Single-source Domain
Generalization,
L3D-IVU23(4798-4808)
IEEE DOI
2309
BibRef
Chen, J.[Jin],
Gao, Z.[Zhi],
Wu, X.X.[Xin-Xiao],
Luo, J.B.[Jie-Bo],
Meta-Causal Learning for Single Domain Generalization,
CVPR23(7683-7692)
IEEE DOI
2309
BibRef
Choi, S.[Seokeon],
Das, D.[Debasmit],
Choi, S.[Sungha],
Yang, S.[Seunghan],
Park, H.[Hyunsin],
Yun, S.[Sungrack],
Progressive Random Convolutions for Single Domain Generalization,
CVPR23(10312-10322)
IEEE DOI
2309
BibRef
Lee, S.[Sangrok],
Bae, J.[Jongseong],
Kim, H.Y.[Ha Young],
Decompose, Adjust, Compose: Effective Normalization by Playing with
Frequency for Domain Generalization,
CVPR23(11776-11785)
IEEE DOI
2309
BibRef
Lin, S.Q.[Shi-Qi],
Zhang, Z.Z.[Zhi-Zheng],
Huang, Z.P.[Zhi-Peng],
Lu, Y.[Yan],
Lan, C.L.[Cui-Ling],
Chu, P.[Peng],
You, Q.Z.[Quan-Zeng],
Wang, J.[Jiang],
Liu, Z.C.[Zi-Cheng],
Parulkar, A.[Amey],
Navkal, V.[Viraj],
Chen, Z.B.[Zhi-Bo],
Deep Frequency Filtering for Domain Generalization,
CVPR23(11797-11807)
IEEE DOI
2309
BibRef
Zhang, X.X.[Xing-Xuan],
He, Y.[Yue],
Xu, R.Z.[Ren-Zhe],
Yu, H.[Han],
Shen, Z.[Zheyan],
Cui, P.[Peng],
NICO++: Towards Better Benchmarking for Domain Generalization,
CVPR23(16036-16047)
IEEE DOI
2309
BibRef
Jain, S.[Samyak],
Addepalli, S.[Sravanti],
Sahu, P.K.[Pawan Kumar],
Dey, P.[Priyam],
Babu, R.V.[R. Venkatesh],
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
Neural Networks,
CVPR23(16048-16059)
IEEE DOI
2309
BibRef
Guo, J.T.[Jin-Tao],
Wang, N.[Na],
Qi, L.[Lei],
Shi, Y.[Yinghuan],
ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency
Transform for Domain Generalization,
CVPR23(24132-24141)
IEEE DOI
2309
BibRef
Qu, S.Q.[San-Qing],
Pan, Y.W.[Ying-Wei],
Chen, G.[Guang],
Yao, T.[Ting],
Jiang, C.J.[Chang-Jun],
Mei, T.[Tao],
Modality-Agnostic Debiasing for Single Domain Generalization,
CVPR23(24142-24151)
IEEE DOI
2309
BibRef
Chen, L.[Liang],
Zhang, Y.[Yong],
Song, Y.B.[Yi-Bing],
Shan, Y.[Ying],
Liu, L.Q.[Ling-Qiao],
Improved Test-Time Adaptation for Domain Generalization,
CVPR23(24172-24182)
IEEE DOI
2309
BibRef
Wang, P.F.[Peng-Fei],
Zhang, Z.X.[Zhao-Xiang],
Lei, Z.[Zhen],
Zhang, L.[Lei],
Sharpness-Aware Gradient Matching for Domain Generalization,
CVPR23(3769-3778)
IEEE DOI
2309
BibRef
Ren, Y.C.[Yu-Chen],
Mao, Z.D.[Zhen-Dong],
Fang, S.C.[Shan-Cheng],
Lu, Y.[Yan],
He, T.[Tong],
Du, H.[Hao],
Zhang, Y.D.[Yong-Dong],
Ouyang, W.L.[Wan-Li],
Crossing the Gap: Domain Generalization for Image Captioning,
CVPR23(2871-2880)
IEEE DOI
2309
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
Chung, W.H.[Wei-Hao],
Hsieh, C.J.[Cheng-Ju],
Liu, S.H.[Sheng-Hung],
Hsu, C.T.[Chiou-Ting],
Domain Generalized RPPG Network: Disentangled Feature Learning with
Domain Permutation and Domain Augmentation,
ACCV22(II:41-57).
Springer DOI
2307
BibRef
Sultana, M.[Maryam],
Naseer, M.[Muzammal],
Khan, M.H.[Muhammad Haris],
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
Self-distilled Vision Transformer for Domain Generalization,
ACCV22(II:273-290).
Springer DOI
2307
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
Li, A.[Aodi],
Zhuang, L.S.[Lian-Sheng],
Fan, S.[Shuo],
Wang, S.[Shafei],
Learning Common and Specific Visual Prompts for Domain Generalization,
ACCV22(VI:578-593).
Springer DOI
2307
BibRef
Garrido-Munoz, C.[Carlos],
Alfaro-Contreras, M.[María],
Calvo-Zaragoza, J.[Jorge],
Evaluating Domain Generalization in Kitchen Utensils Classification,
IbPRIA23(108-118).
Springer DOI
2307
BibRef
Chen, H.R.[Huan-Ran],
Shao, S.T.[Shi-Tong],
Wang, Z.[Ziyi],
Shang, Z.[Zirui],
Chen, J.[Jin],
Ji, X.F.[Xiao-Feng],
Wu, X.X.[Xin-Xiao],
Bootstrap Generalization Ability from Loss Landscape Perspective,
CiV22(500-517).
Springer DOI
2304
BibRef
Bajcsy, P.[Peter],
Majurski, M.[Michael],
Cleveland IV, T.E.[Thomas E.],
Carrasco, M.[Manuel],
Keyrouz, W.[Walid],
Characterization of AI Model Configurations for Model Reuse,
BioImage22(454-469).
Springer DOI
2304
BibRef
Jiang, Y.X.[Yu-Xuan],
Wang, Y.F.[Yan-Feng],
Zhang, R.P.[Rui-Peng],
Xu, Q.[Qinwei],
Zhang, Y.[Ya],
Chen, X.[Xin],
Tian, Q.[Qi],
Domain-conditioned Normalization for Test-time Domain Generalization,
OutDistri22(291-307).
Springer DOI
2304
BibRef
Marinov, Z.[Zdravko],
Roitberg, A.[Alina],
Schneider, D.[David],
Stiefelhagen, R.[Rainer],
Modselect: Automatic Modality Selection for Synthetic-to-real Domain
Generalization,
OutDistri22(326-346).
Springer DOI
2304
BibRef
Lu, Y.[Yulei],
Luo, Y.[Yawei],
Pan, A.[Antao],
Mao, Y.J.[Yang-Jun],
Xiao, J.[Jun],
Domain Generalization with Global Sample Mixup,
CiV22(518-529).
Springer DOI
2304
BibRef
Lv, Z.[Zhi],
Lin, B.[Bo],
Liang, S.Y.[Si-Yuan],
Wang, L.H.[Li-Hua],
Yu, M.[Mochen],
Tang, Y.[Yao],
Liang, J.J.[Jia-Jun],
Simpledg: Simple Domain Generalization Baseline Without Bells and
Whistles,
CiV22(477-487).
Springer DOI
2304
BibRef
O'Brien, M.[Molly],
Wolfinger, B.[Brett],
Bukowski, J.[Julia],
Unberath, M.[Mathias],
Pezeshk, A.[Aria],
Hager, G.[Greg],
Mapping DNN Embedding Manifolds for Network Generalization Prediction,
WACV23(6513-6522)
IEEE DOI
2302
Manifolds, Visualization, Image analysis, Melanoma, Metadata,
Applications: Robotics, Biomedical/healthcare/medicine
BibRef
Chen, T.[Tianle],
Baktashmotlagh, M.[Mahsa],
Wang, Z.J.[Zi-Jian],
Salzmann, M.[Mathieu],
Center-aware Adversarial Augmentation for Single Domain
Generalization,
WACV23(4146-4154)
IEEE DOI
2302
Training, Perturbation methods, Semantics, Training data,
Benchmark testing, Feature extraction,
and algorithms (including transfer)
BibRef
Gokhale, T.[Tejas],
Anirudh, R.[Rushil],
Thiagarajan, J.J.[Jayaraman J.],
Kailkhura, B.[Bhavya],
Baral, C.[Chitta],
Yang, Y.Z.[Ye-Zhou],
Improving Diversity with Adversarially Learned Transformations for
Domain Generalization,
WACV23(434-443)
IEEE DOI
2302
Training, Perturbation methods, Neural networks, Transforms,
Benchmark testing, Performance gain, and algorithms (including transfer)
BibRef
Chen, J.M.[Jun-Ming],
Jiang, M.[Meirui],
Dou, Q.[Qi],
Chen, Q.F.[Qi-Feng],
Federated Domain Generalization for Image Recognition via
Cross-Client Style Transfer,
WACV23(361-370)
IEEE DOI
2302
Training, Data privacy, Image recognition, Federated learning,
Data models, Picture archiving and communication systems,
ethical computer vision
BibRef
Nguyen, T.[Thuan],
Lyu, B.Y.[Bo-Yang],
Ishwar, P.[Prakash],
Scheutz, M.[Matthias],
Aeron, S.[Shuchin],
Conditional entropy minimization principle for learning domain
invariant representation features,
ICPR22(3000-3006)
IEEE DOI
2212
Mixture models, Filtering algorithms, Minimization,
Feature extraction, Entropy, Filtering theory, Classification algorithms
BibRef
Liu, X.X.[Xi-Xi],
Staudt, D.,
Lin, C.T.[Che-Tsung],
Zach, C.[Christopher],
Effortless Training of Joint Energy-Based Models with Sliced Score
Matching,
ICPR22(2643-2649)
IEEE DOI
2212
Training, Analytical models, Uncertainty, Stochastic processes,
Predictive models, Logic gates, Calibration
BibRef
Tao, C.F.[Chao-Fan],
Wong, N.[Ngai],
ODG-Q: Robust Quantization via Online Domain Generalization,
ICPR22(1822-1828)
IEEE DOI
2212
Training, Quantization (signal), Costs, Perturbation methods,
Neural networks, Closed box, Robustness
BibRef
Frikha, A.[Ahmed],
Krompaß, D.[Denis],
Tresp, V.[Volker],
Discovery of New Multi-Level Features for Domain Generalization via
Knowledge Corruption,
ICPR22(1871-187)
IEEE DOI
2212
Training, Machine learning, Benchmark testing, Data models
BibRef
Zhang, W.Y.[Wen-Yu],
Ragab, M.[Mohamed],
Foo, C.S.[Chuan-Sheng],
Domain Generalization via Selective Consistency Regularization for
Time Series Classification,
ICPR22(2149-2156)
IEEE DOI
2212
Representation learning, Training, Time series analysis,
Feature extraction, Data models, Calibration
BibRef
Chen, T.L.[Tian-Le],
Baktashmotlagh, M.[Mahsa],
Salzmann, M.[Mathieu],
Contrastive Class-aware Adaptation for Domain Generalization,
ICPR22(4871-4876)
IEEE DOI
2212
Training, Heart, Semantic segmentation, Semantics, Predictive models,
Feature extraction
BibRef
Saranrittichai, P.[Piyapat],
Mummadi, C.K.[Chaithanya Kumar],
Blaiotta, C.[Claudia],
Munoz, M.[Mauricio],
Fischer, V.[Volker],
Overcoming Shortcut Learning in a Target Domain by Generalizing Basic
Visual Factors from a Source Domain,
ECCV22(XXV:294-309).
Springer DOI
2211
BibRef
Zhang, J.[Jian],
Qi, L.[Lei],
Shi, Y.[Yinghuan],
Gao, Y.[Yang],
MVDG: A Unified Multi-view Framework for Domain Generalization,
ECCV22(XXVII:161-177).
Springer DOI
2211
BibRef
Nam, G.[Gilhyun],
Choi, G.[Gyeongjae],
Lee, K.[Kyungmin],
GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real
Generalization,
ECCV22(XXXIII:656-672).
Springer DOI
2211
BibRef
Zhang, C.[Chi],
Xie, S.[Sirui],
Jia, B.X.[Bao-Xiong],
Wu, Y.N.[Ying Nian],
Zhu, S.C.[Song-Chun],
Zhu, Y.X.[Yi-Xin],
Learning Algebraic Representation for Systematic Generalization in
Abstract Reasoning,
ECCV22(XXIX:692-709).
Springer DOI
2211
BibRef
Xu, W.X.[Wei-Xiang],
Cheng, J.[Jian],
Stacking More Linear Operations with Orthogonal Regularization to
Learn Better,
ICIP22(2731-2735)
IEEE DOI
2211
Training, Deep learning, Runtime, Convolution, Stacking,
Over-parameterization, Model generalization, Orthogonal regularization
BibRef
Meng, R.[Rang],
Li, X.F.[Xian-Feng],
Chen, W.J.[Wei-Jie],
Yang, S.[Shicai],
Song, J.[Jie],
Wang, X.C.[Xin-Chao],
Zhang, L.[Lei],
Song, M.L.[Ming-Li],
Xie, D.[Di],
Pu, S.L.[Shi-Liang],
Attention Diversification for Domain Generalization,
ECCV22(XXXIV:322-340).
Springer DOI
2211
BibRef
Kulinski, S.[Sean],
Inouye, D.I.[David I.],
Towards Explaining Image-Based Distribution Shifts,
VDU22(4787-4791)
IEEE DOI
2210
Conferences, Task analysis
BibRef
Liang, Y.Z.[Yuan-Zhi],
Zhu, L.C.[Lin-Chao],
Wang, X.H.[Xiao-Han],
Yang, Y.[Yi],
A Simple Episodic Linear Probe Improves Visual Recognition in the
Wild,
CVPR22(9549-9559)
IEEE DOI
2210
Training, Visualization, Performance gain, Time measurement,
Probability distribution, retrieval
BibRef
Gominski, D.[Dimitri],
Gouet-Brunet, V.[Valérie],
Chen, L.M.[Li-Ming],
Cross-dataset Learning for Generalizable Land Use Scene
Classification,
EarthVision22(1381-1390)
IEEE DOI
2210
Training, Visualization, Image analysis,
Image retrieval, Feature extraction
BibRef
Cugu, I.[Ilke],
Mancini, M.[Massimiliano],
Chen, Y.B.[Yan-Bei],
Akata, Z.[Zeynep],
Attention Consistency on Visual Corruptions for Single-Source Domain
Generalization,
L3D-IVU22(4164-4173)
IEEE DOI
2210
Training, Visualization, Training data, Lighting, Benchmark testing,
Picture archiving and communication systems, Data models
BibRef
Lehner, A.[Alexander],
Gasperini, S.[Stefano],
Marcos-Ramiro, A.[Alvaro],
Schmidt, M.[Michael],
Mahani, M.A.N.[Mohammad-Ali Nikouei],
Navab, N.[Nassir],
Busam, B.[Benjamin],
Tombari, F.[Federico],
3D-VField: Adversarial Augmentation of Point Clouds for Domain
Generalization in 3D Object Detection,
CVPR22(17274-17283)
IEEE DOI
2210
Point cloud compression, Training, Shape, Object detection,
Detectors, Automobiles, Navigation and autonomous driving,
Adversarial attack and defense
BibRef
Kim, S.W.[Seung Wook],
Kreis, K.[Karsten],
Li, D.Q.[Dai-Qing],
Torralba, A.[Antonio],
Fidler, S.[Sanja],
Polymorphic-GAN:
Generating Aligned Samples across Multiple Domains with Learned Morph Maps,
CVPR22(10620-10630)
IEEE DOI
2210
Training, Geometry, Image segmentation, Shape,
Generative adversarial networks, Generators,
Transfer/low-shot/long-tail learning
BibRef
Huang, Z.Y.[Ze-Yi],
Wang, H.H.[Hao-Han],
Huang, D.[Dong],
Lee, Y.J.[Yong Jae],
Xing, E.P.[Eric P.],
The Two Dimensions of Worst-case Training and Their Integrated Effect
for Out-of-domain Generalization,
CVPR22(9621-9631)
IEEE DOI
2210
Training, Representation learning, Correlation, Merging, Force,
Robustness, Self- semi- meta- Representation learning
BibRef
Bayasi, N.[Nourhan],
Hamarneh, G.[Ghassan],
Garbi, R.[Rafeef],
BoosterNet: Improving Domain Generalization of Deep Neural Nets using
Culpability-Ranked Features,
CVPR22(528-538)
IEEE DOI
2210
Training, Deep learning, Neural networks, Mission critical systems,
Measurement uncertainty, Imaging, Network architecture,
Efficient learning and inferences
BibRef
Wan, C.[Chaoqun],
Shen, X.[Xu],
Zhang, Y.G.[Yong-Gang],
Yin, Z.H.[Zhi-Heng],
Tian, X.[Xinmei],
Gao, F.[Feng],
Huang, J.Q.[Jian-Qiang],
Hua, X.S.[Xian-Sheng],
Meta Convolutional Neural Networks for Single Domain Generalization,
CVPR22(4672-4681)
IEEE DOI
2210
Convolutional codes, Representation learning, Visualization,
Image recognition, Benchmark testing, Image representation,
Deep learning architectures and techniques
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
Zhu, W.[Wei],
Lu, L.[Le],
Xiao, J.[Jing],
Han, M.[Mei],
Luo, J.B.[Jie-Bo],
Harrison, A.P.[Adam P.],
Localized Adversarial Domain Generalization,
CVPR22(7098-7108)
IEEE DOI
2210
Deep learning, Training data, Games, Benchmark testing,
Maintenance engineering, Machine learning
BibRef
Chen, C.Q.[Chao-Qi],
Li, J.C.[Jiong-Cheng],
Han, X.G.[Xiao-Guang],
Liu, X.Q.[Xiao-Qing],
Yu, Y.Z.[Yi-Zhou],
Compound Domain Generalization via Meta-Knowledge Encoding,
CVPR22(7109-7119)
IEEE DOI
2210
Representation learning, Semantics, Prototypes, Object detection,
Benchmark testing, Encoding, Representation learning
BibRef
Kang, J.[Juwon],
Lee, S.[Sohyun],
Kim, N.[Namyup],
Kwak, S.[Suha],
Style Neophile: Constantly Seeking Novel Styles for Domain
Generalization,
CVPR22(7120-7130)
IEEE DOI
2210
Greedy algorithms, Training, Representation learning,
Computational modeling, Training data, Benchmark testing,
retrieval
BibRef
Zhang, H.L.[Han-Lin],
Zhang, Y.F.[Yi-Fan],
Liu, W.Y.[Wei-Yang],
Weller, A.[Adrian],
Schölkopf, B.[Bernhard],
Xing, E.P.[Eric P.],
Towards Principled Disentanglement for Domain Generalization,
CVPR22(8014-8024)
IEEE DOI
2210
Training, Correlation, Semantics, Training data, Machine learning,
Benchmark testing, Transfer/low-shot/long-tail learning,
privacy and ethics in vision
BibRef
Zhang, Y.[Yabin],
Li, M.H.[Ming-Han],
Li, R.H.[Rui-Huang],
Jia, K.[Kui],
Zhang, L.[Lei],
Exact Feature Distribution Matching for Arbitrary Style Transfer and
Domain Generalization,
CVPR22(8025-8035)
IEEE DOI
2210
Visualization, Histograms, Image recognition, Costs,
Statistical analysis,
Statistical methods
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
Zhang, J.W.[Jia-Wei],
Wang, X.[Xiang],
Bai, X.[Xiao],
Wang, C.[Chen],
Huang, L.[Lei],
Chen, Y.M.[Yi-Min],
Gu, L.[Lin],
Zhou, J.[Jun],
Harada, T.[Tatsuya],
Hancock, E.R.[Edwin R.],
Revisiting Domain Generalized Stereo Matching Networks from a Feature
Consistency Perspective,
CVPR22(12991-13001)
IEEE DOI
2210
Training, Codes, Training data, Decorrelation, Pattern matching,
3D from multi-view and sensors, Navigation and autonomous driving
BibRef
Liu, B.Y.[Bi-Yang],
Yu, H.M.[Hui-Min],
Qi, G.D.[Guo-Dong],
GraftNet: Towards Domain Generalized Stereo Matching with a
Broad-Spectrum and Task-Oriented Feature,
CVPR22(13002-13011)
IEEE DOI
2210
Training, Costs, Image color analysis,
Multitasking, 3D from multi-view and sensors
BibRef
Chuah, W.Q.[Wei-Qin],
Tennakoon, R.[Ruwan],
Hoseinnezhad, R.[Reza],
Bab-Hadiashar, A.[Alireza],
Suter, D.[David],
ITSA: An Information-Theoretic Approach to Automatic Shortcut
Avoidance and Domain Generalization in Stereo Matching Networks,
CVPR22(13012-13022)
IEEE DOI
2210
Sensitivity, Perturbation methods, Semantics, Feature extraction,
Robustness, Sensors, 3D from multi-view and sensors
BibRef
Galstyan, T.[Tigran],
Harutyunyan, H.[Hrayr],
Khachatrian, H.[Hrant],
Steeg, G.V.[Greg Ver],
Galstyan, A.[Aram],
Failure Modes of Domain Generalization Algorithms,
CVPR22(19055-19064)
IEEE DOI
2210
Training, Representation learning, Machine learning algorithms,
Training data, Focusing, Data models, Machine learning, Datasets and evaluation
BibRef
Nazari, N.H.[Narges Honarvar],
Kovashka, A.[Adriana],
The Role of Shape for Domain Generalization on Sparsely-Textured
Images,
SketchDL22(5116-5126)
IEEE DOI
2210
Bridges, Shape, Transforms, Robustness
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
Duboudin, T.[Thomas],
Dellandréa, E.[Emmanuel],
Abgrall, C.[Corentin],
Hénaff, G.[Gilles],
Chen, L.M.[Li-Ming],
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss
for Single-Source Domain Generalization,
AROW21(51-60)
IEEE DOI
2112
Training, Deep learning, Heuristic algorithms, Neural networks,
Training data, Benchmark testing, Prediction algorithms
BibRef
Guillory, D.[Devin],
Shankar, V.[Vaishaal],
Ebrahimi, S.[Sayna],
Darrell, T.J.[Trevor J.],
Schmidt, L.[Ludwig],
Predicting with Confidence on Unseen Distributions,
ICCV21(1114-1124)
IEEE DOI
2203
Adaptation models, Uncertainty, Filtering, Veins, Training data,
Focusing, Machine learning, Recognition and classification,
Datasets and evaluation
BibRef
Wu, G.[Guile],
Gong, S.G.[Shao-Gang],
Collaborative Optimization and Aggregation for Decentralized Domain
Generalization and Adaptation,
ICCV21(6464-6473)
IEEE DOI
2203
Training, Adaptation models, Data privacy, Collaboration,
Benchmark testing, Predictive models, Data collection,
Recognition and classification
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
Gong, Y.[Yunye],
Lin, X.[Xiao],
Yao, Y.[Yi],
Dietterich, T.G.[Thomas G.],
Divakaran, A.[Ajay],
Gervasio, M.[Melinda],
Confidence Calibration for Domain Generalization under Covariate
Shift,
ICCV21(8938-8947)
IEEE DOI
2203
Training, Adaptation models, Upper bound, Temperature,
Linear regression, Clustering algorithms, and ethics in vision
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
Sariyildiz, M.B.[Mert Bulent],
Kalantidis, Y.[Yannis],
Larlus, D.[Diane],
Alahari, K.[Karteek],
Concept Generalization in Visual Representation Learning,
ICCV21(9609-9619)
IEEE DOI
2203
Training, Visualization, Adaptation models, Current transformers,
Search methods, Semantics, Supervised learning,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Shankar, V.[Vaishaal],
Dave, A.[Achal],
Roelofs, R.[Rebecca],
Ramanan, D.[Deva],
Recht, B.[Benjamin],
Schmidt, L.[Ludwig],
Do Image Classifiers Generalize Across Time?,
ICCV21(9641-9649)
IEEE DOI
2203
Analytical models, Perturbation methods, Speech recognition,
Predictive models, Benchmark testing, Robustness, Adversarial learning
BibRef
Paul, S.[Soumava],
Dutta, T.[Titir],
Biswas, S.[Soma],
Universal Cross-Domain Retrieval:
Generalizing Across Classes and Domains,
ICCV21(12036-12044)
IEEE DOI
2203
Training, Bridges, Protocols, Semantics, Task analysis, Testing,
Image and video retrieval, Recognition and classification
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
Narayanan, M.[Maruthi],
Rajendran, V.[Vickram],
Kimia, B.[Benjamin],
Shape-Biased Domain Generalization via Shock Graph Embeddings,
ICCV21(1295-1305)
IEEE DOI
2203
Training, Sensitivity, Shape, Electric shock, Computational modeling,
Feature extraction, Recognition and classification,
grouping and shape
BibRef
Li, P.[Pan],
Li, D.[Da],
Li, W.[Wei],
Gong, S.G.[Shao-Gang],
Fu, Y.W.[Yan-Wei],
Hospedales, T.M.[Timothy M.],
A Simple Feature Augmentation for Domain Generalization,
ICCV21(8866-8875)
IEEE DOI
2203
Training, Codes, Computational modeling, Gaussian noise,
Stochastic processes, Representation learning
BibRef
Tang, Z.Q.[Zhi-Qiang],
Gao, Y.H.[Yun-He],
Zhu, Y.[Yi],
Zhang, Z.[Zhi],
Li, M.[Mu],
Metaxas, D.N.[Dimitris N.],
CrossNorm and SelfNorm for Generalization under Distribution Shifts,
ICCV21(52-61)
IEEE DOI
2203
Training, Bridges, Codes, Robustness, Task analysis,
Recognition and classification, Vision applications and systems
BibRef
Azimi, F.[Fatemeh],
Palacio, S.[Sebastian],
Raue, F.[Federico],
Hees, J.[Jörn],
Bertinetto, L.[Luca],
Dengel, A.[Andreas],
Self-Supervised Test-Time Adaptation on Video Data,
WACV22(2603-2612)
IEEE DOI
2202
Adapt due to changes in video.
Training, Adaptation models, Target tracking,
Computational modeling, Video sequences, Training data,
Vision Systems and Applications
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
Le, H.S.[Hoang Son],
Akmeliawati, R.[Rini],
Carneiro, G.[Gustavo],
Combining Data Augmentation and Domain Distance Minimisation to
Reduce Domain Generalisation Error,
DICTA21(01-08)
IEEE DOI
2201
Training, Adaptation models, Upper bound, Digital images,
Benchmark testing, Minimization, Picture archiving and communication systems
BibRef
Pandey, P.[Prashant],
Raman, M.[Mrigank],
Varambally, S.[Sumanth],
Ap, P.[Prathosh],
Generalization on Unseen Domains via Inference-time Label-Preserving
Target Projections,
CVPR21(12919-12928)
IEEE DOI
2111
Manifolds, Training, Machine learning,
Extraterrestrial measurements, Data models
BibRef
Li, G.R.[Guang-Rui],
Kang, G.L.[Guo-Liang],
Zhu, Y.[Yi],
Wei, Y.C.[Yun-Chao],
Yang, Y.[Yi],
Domain Consensus Clustering for Universal Domain Adaptation,
CVPR21(9752-9761)
IEEE DOI
2111
Benchmark testing
BibRef
Dubey, A.[Abhimanyu],
Ramanathan, V.[Vignesh],
Pentland, A.[Alex],
Mahajan, D.[Dhruv],
Adaptive Methods for Real-World Domain Generalization,
CVPR21(14335-14344)
IEEE DOI
2111
Training, Heart, Adaptation models,
Machine learning, Benchmark testing, Predictive models
BibRef
Choi, S.[Sungha],
Jung, S.[Sanghun],
Yun, H.[Huiwon],
Kim, J.T.[Joanne T.],
Kim, S.[Seungryong],
Choo, J.[Jaegul],
RobustNet: Improving Domain Generalization in Urban-Scene
Segmentation via Instance Selective Whitening,
CVPR21(11575-11585)
IEEE DOI
2111
Training, Deep learning, Image segmentation, Codes,
Robustness
See also Study of RobustNet, a Domain Generalization Method for Semantic Segmentation, A.
BibRef
Fan, X.J.[Xin-Jie],
Wang, Q.F.[Qi-Fei],
Ke, J.J.[Jun-Jie],
Yang, F.[Feng],
Gong, B.Q.[Bo-Qing],
Zhou, M.Y.[Ming-Yuan],
Adversarially Adaptive Normalization for Single Domain Generalization,
CVPR21(8204-8213)
IEEE DOI
2111
Training, Adaptation models, Adaptive systems, Neural networks,
Benchmark testing, Tools, Data models
BibRef
Huang, J.X.[Jia-Xing],
Guan, D.[Dayan],
Xiao, A.[Aoran],
Lu, S.J.[Shi-Jian],
FSDR: Frequency Space Domain Randomization for Domain Generalization,
CVPR21(6887-6898)
IEEE DOI
2111
Training, Image segmentation, Frequency-domain analysis, Semantics,
Transform coding, Aerospace electronics, Frequency conversion
BibRef
Mitsuzumi, Y.[Yu],
Irie, G.[Go],
Ikami, D.[Daiki],
Shibata, T.[Takashi],
Generalized Domain Adaptation,
CVPR21(1084-1093)
IEEE DOI
2111
Benchmark testing
BibRef
Li, L.[Lei],
Gao, K.[Ke],
Cao, J.[Juan],
Huang, Z.Y.[Zi-Yao],
Weng, Y.P.[Ye-Peng],
Mi, X.Y.[Xiao-Yue],
Yu, Z.Z.[Zheng-Ze],
Li, X.Y.[Xiao-Ya],
Xia, B.Y.[Bo-Yang],
Progressive Domain Expansion Network for Single Domain Generalization,
CVPR21(224-233)
IEEE DOI
2111
Training, Handheld computers, Computational modeling, Semantics,
Transforms, Performance gain, Generators
BibRef
Eguchi, S.[Shu],
Nakamura, R.[Ryo],
Tanaka, M.[Masaru],
Output augmentation works well without any domain knowledge,
MVA21(1-5)
DOI Link
2109
To improve generalization performance, without requiring data augmentation.
Training data, Task analysis, Image classification
BibRef
Borlino, F.C.[Francesco Cappio],
d'Innocente, A.[Antonio],
Tommasi, T.[Tatiana],
Rethinking Domain Generalization Baselines,
ICPR21(9227-9233)
IEEE DOI
2105
Deep learning, Writing, Tools, Robustness, Data models,
Standards
BibRef
Wang, Z.Q.[Zi-Qi],
Loog, M.[Marco],
van Gemert, J.C.[Jan C.],
Respecting Domain Relations: Hypothesis Invariance for Domain
Generalization,
ICPR21(9756-9763)
IEEE DOI
2105
Training, Estimation, Distributed databases, Probabilistic logic,
Reliability, Domain generalization,
invariant representation
BibRef
Seo, S.[Seonguk],
Suh, Y.[Yumin],
Kim, D.W.[Dong-Wan],
Kim, G.[Geeho],
Han, J.W.[Jong-Woo],
Han, B.H.[Bo-Hyung],
Learning to Optimize Domain Specific Normalization for Domain
Generalization,
ECCV20(XXII:68-83).
Springer DOI
2011
BibRef
Chattopadhyay, P.[Prithvijit],
Balaji, Y.[Yogesh],
Hoffman, J.[Judy],
Learning to Balance Specificity and Invariance for In and Out of Domain
Generalization,
ECCV20(IX:301-318).
Springer DOI
2011
BibRef
Wang, S.J.[Shu-Jun],
Yu, L.[Lequan],
Li, C.[Caizi],
Fu, C.W.[Chi-Wing],
Heng, P.A.[Pheng-Ann],
Learning from Extrinsic and Intrinsic Supervisions for Domain
Generalization,
ECCV20(IX:159-176).
Springer DOI
2011
BibRef
Qiao, F.,
Zhao, L.,
Peng, X.,
Learning to Learn Single Domain Generalization,
CVPR20(12553-12562)
IEEE DOI
2008
Training, Task analysis, Transportation, Adaptation models,
Robustness, Perturbation methods, Measurement
BibRef
Truong, D.T.[Dat T.],
Duong, C.N.[Chi Nhan],
Luu, K.[Khoa],
Tran, M.T.[Minh-Triet],
Le, N.[Ngan],
Domain Generalization via Universal Non-volume Preserving Approach,
CRV20(93-100)
IEEE DOI
2006
Digits, faces, pedestrians.
BibRef
Yue, X.,
Zhang, Y.,
Zhao, S.,
Sangiovanni-Vincentelli, A.,
Keutzer, K.,
Gong, B.,
Domain Randomization and Pyramid Consistency: Simulation-to-Real
Generalization Without Accessing Target Domain Data,
ICCV19(2100-2110)
IEEE DOI
2004
feature extraction, image representation,
image segmentation, learning (artificial intelligence),
Adaptation models
BibRef
Li, D.,
Zhang, J.,
Yang, Y.,
Liu, C.,
Song, Y.,
Hospedales, T.M.,
Episodic Training for Domain Generalization,
ICCV19(1446-1455)
IEEE DOI
2004
convolutional neural nets, feature extraction,
generalisation (artificial intelligence),
Data models
BibRef
d'Innocente, A.[Antonio],
Caputo, B.[Barbara],
Domain Generalization with Domain-Specific Aggregation Modules,
GCPR18(187-198).
Springer DOI
1905
BibRef
Motiian, S.,
Piccirilli, M.,
Adjeroh, D.A.,
Doretto, G.,
Unified Deep Supervised Domain Adaptation and Generalization,
ICCV17(5716-5726)
IEEE DOI
1802
feature extraction, image representation,
learning (artificial intelligence), statistical distributions,
Visualization
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Multi-Task Learning, Multiple Tasks, Transfer Learning, Domain Adaption .