14.1.6.2 Domain Generalization

Chapter Contents (Back)
Domain Adaption. Domain Generalization.

Li, W.[Wen], Xu, Z.[Zheng], Xu, D.[Dong], Dai, D.X.[Deng-Xin], Van Gool, L.J.[Luc J.],
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 BibRef

Wang, Y., Li, W., Dai, D.X.[Deng-Xin], Van Gool, L.J.[Luc J.],
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 BibRef

Lee, W.[Woojin], Kim, H.[Hoki], Lee, J.W.[Jae-Wook],
Compact class-conditional domain invariant learning for multi-class domain adaptation,
PR(112), 2021, pp. 107763.
Elsevier DOI 2102
Domain adaptation, Generalization bound, Class-conditional domain invariant learning, Transfer Learning BibRef

Tao, J.W.[Jian-Wen], Dan, Y.[Yufang], Zhou, D.[Di],
Robust multi-source co-adaptation with adaptive loss minimization,
SP:IC(99), 2021, pp. 116455.
Elsevier DOI 2111
Multi-source adaptation, Domain generalization, Adaptive loss, Maximum mean discrepancy 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


Kim, J.[Jin], Lee, J.Y.[Ji-Young], Park, J.[Jungin], Min, D.B.[Dong-Bo], Sohn, K.H.[Kwang-Hoon],
Self-Balanced Learning for Domain Generalization,
ICIP21(779-783)
IEEE DOI 2201
Training, Degradation, Adaptive systems, Image processing, Training data, Predictive models, Domain generalization, meta-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, Pattern recognition 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, Pattern recognition 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, Pattern recognition BibRef

Fan, X.J.[Xin-Jie], Wang, Q.F.[Qi-Fei], Ke, J.J.[Jun-Jie], Yang, F.[Feng], Gong, B.[Boqing], 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.[Shijian],
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, Pattern recognition BibRef

Li, L.[Lei], Gao, K.[Ke], Cao, J.[Juan], Huang, Z.[Ziyao], Weng, Y.[Yepeng], Mi, X.Y.[Xiao-Yue], Yu, Z.Z.[Zheng-Ze], Li, X.Y.[Xiao-Ya], Xia, B.[Boyang],
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, Pattern recognition, Standards BibRef

Wang, Z.[Ziqi], 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, Pattern recognition, Reliability, Domain generalization, invariant representation BibRef

Seo, S.[Seonguk], Suh, Y.[Yumin], Kim, D.[Dongwan], 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

Du, Y.J.[Ying-Jun], Xu, J.[Jun], Xiong, H.[Huan], Qiu, Q.A.[Qi-Ang], Zhen, X.T.[Xian-Tong], Snoek, C.G.M.[Cees G. M.], Shao, L.[Ling],
Learning to Learn with Variational Information Bottleneck for Domain Generalization,
ECCV20(X:200-216).
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 .


Last update:Jan 20, 2022 at 13:32:42