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Domain generalization~(DG) aims at solving distribution shift problems in various scenes.
Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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A theory of learning from different domains
Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan · 2010
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ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias
Chen Fang, Ye Xu, and Daniel N Rockmore · 2013
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Domain-Adversarial Training of Neural Networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario March, and Victor Lempitsky · 2016
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deeper, Broader and Artier Domain Generalization
Da Li, Yongxin Yang, Yi-Zhe Song, and Timothy M. Hospedales · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
Earlier work this paper cites.
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, and Sethuraman Panchanathan · 2017
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Metareg: Towards domain generalization using meta-regularization
Yogesh Balaji, Swami Sankaranarayanan, and Rama Chellappa · 2018
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Recognition in Terra Incognita
Sara Beery, Grant Van Horn, and Pietro Perona · 2018
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Deep Domain Generalization via Conditional Invariant Adversarial Networks
Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, and Dacheng Tao · 2018
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A unified framework for multimodal domain adaptation
Fan Qi, Xiaoshan Yang, and Changsheng Xu · 2018
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Generalizing across domains via cross-gradient training
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, and Sunita Sarawagi · 2018
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Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz · 2019
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Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, and Boris Katz · 2019
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Domain generalization via model-agnostic learning of semantic features
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, and Ben Glocker · 2019
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Moment matching for multi-source domain adaptation
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, and Bo Wang · 2019
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Distributionally robust neural networks
Shiori Sagawa, Pang Wei Koh, Tatsunori B Hashimoto, and Percy Liang · 2019
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2020
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Learning to learn with variational information bottleneck for domain generalization
Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees GM Snoek, and Ling Shao · 2020
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Rethinking importance weighting for deep learning under distribution shift
Tongtong Fang, Nan Lu, Gang Niu, and Masashi Sugiyama · 2020
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In search of lost domain generalization
Ishaan Gulrajani and David Lopez-Paz · 2020
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Self-challenging improves cross-domain generalization
Zeyi Huang, Haohan Wang, Eric P Xing, and Dong Huang · 2020
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Multi-modal domain adaptation for fine-grained action recognition
Jonathan Munro and Dima Damen · 2020
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Domain Generalization via Entropy Regularization
Shanshan Zhao, Mingming Gong, Tongliang Liu, Huan Fu, and Dacheng Tao · 2020
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Learning to generate novel domains for domain generalization
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, and Tao Xiang · 2020
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Domain generalization by marginal transfer learning
Gilles Blanchard, Aniket Anand Deshmukh, Ürun Dogan, Gyemin Lee, and Clayton Scott · 2021
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Swad: Domain generalization by seeking flat minima
Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, and Sungrae Park · 2021
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Partial success in closing the gap between human and machine vision
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A Wichmann, and Wieland Brendel · 2021
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Pit: Position-invariant transform for cross-fov domain adaptation
Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, and Lizhuang Ma · 2021
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End-to-end video object detection with spatial-temporal transformers
Lu He, Qianyu Zhou, Xiangtai Li, Li Niu, Guangliang Cheng, Xiao Li, Wenxuan Liu, Yunhai Tong, Lizhuang Ma, and Liqing Zhang · 2021
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Natural adversarial examples
Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, and Dawn Song · 2021
Cited alongside, same era.
Feature stylization and domain-aware contrastive learning for domain generalization
Seogkyu Jeon, Kibeom Hong, Pilhyeon Lee, Jewook Lee, and Hyeran Byun · 2021
Cited alongside, same era.
Selfreg: Self-supervised contrastive regularization for domain generalization
Daehee Kim, Youngjun Yoo, Seunghyun Park, Jinkyu Kim, and Jaekoo Lee · 2021
Cited alongside, same era.
Out-of-distribution generalization via risk extrapolation (rex)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Remi Le Priol, and Aaron Courville · 2021
Cited alongside, same era.
Domain generalization via feature variation decorrelation
Chang Liu, Lichen Wang, Kai Li, and Yun Fu · 2021
Cited alongside, same era.
Domain generalization using causal matching
Divyat Mahajan, Shruti Tople, and Amit Sharma · 2021
Sharpness-aware gradient matching for domain generalization
Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, and Lei Zhang · 2023
Later among the works it cites.
A closer look at classifier in adversarial domain generalization
Ye Wang, Junyang Chen, Mengzhu Wang, Hao Li, Wei Wang, Houcheng Su, Zhihui Lai, Wei Wang, and Zhenghan Chen · 2023
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Masked images are counterfactual samples for robust fine-tuning
Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, and Liang Lin · 2023
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Rethinking mobile block for efficient attention-based models
Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, and Chengjie Wang · 2023
Later among the works it cites.
Adanpc: Exploring non-parametric classifier for test-time adaptation
Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, and Tieniu Tan · 2023
Later among the works it cites.
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Cited alongside, same era.
Reducing domain gap by reducing style bias
Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, and Donggeun Yoo · 2021
Cited alongside, same era.
Towards Causal Representation Learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio · 2021
Cited alongside, same era.
A fourier-based framework for domain generalization
Qinwei Xu, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, and Qi Tian · 2021
Cited alongside, same era.
Adaptive risk minimization: Learning to adapt to domain shift
Marvin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, and Chelsea Finn · 2021
Cited alongside, same era.
Learning to generalize unseen domains via memory-based multi-source meta-learning for person re-identification
Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo, Yaojin Lin, Shaozi Li, and Nicu Sebe · 2021
Cited alongside, same era.
Domain generalization with mixstyle
Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang · 2021
Cited alongside, same era.
YiFan Zhang, xue wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, and Tieniu Tan · 2023
Later among the works it cites.
Domain-specific risk minimization for domain generalization
Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, and Xing Xie · 2023
Later among the works it cites.
Style-hallucinated dual consistency learning: A unified framework for visual domain generalization
Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, and Gim Hee Lee · 2023
Later among the works it cites.
Context-aware mixup for domain adaptive semantic segmentation
Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Jiangmiao Pang, Guangliang Cheng, Xuequan Lu, Jianping Shi, and Lizhuang Ma · 2023
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Self-adversarial disentangling for specific domain adaptation
Qianyu Zhou, Qiqi Gu, Jiangmiao Pang, Xuequan Lu, and Lizhuang Ma · 2023
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Transvod: end-to-end video object detection with spatial-temporal transformers
Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, and Dacheng Tao · 2023
Later among the works it cites.
Instance-aware domain generalization for face anti-spoofing
Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Ran Yi, Shouhong Ding, and Lizhuang Ma · 2023
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Seta: Semantic-aware token augmentation for domain generalization
Jintao Guo, Lei Qi, Yinghuan Shi, and Yang Gao · 2024
Closest in time.
Mambaad: Exploring state space models for multi-class unsupervised anomaly detection
Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, and Lei Xie · 2024
Closest in time.
Dg-pic: Domain generalized point-in-context learning for point cloud understanding
Jincen Jiang, Qianyu Zhou, Yuhang Li, Xuequan Lu, Meili Wang, Lizhuang Ma, Jian Chang, and Jian Jun Zhang · 2024
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Videomamba: State space model for efficient video understanding, 2024
Kunchang Li, Xinhao Li, Yi Wang, Yinan He, Yali Wang, Limin Wang, and Yu Qiao · 2024
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Omg-seg: Is one model good enough for all segmentation?
Xiangtai Li, Haobo Yuan, Wei Li, Henghui Ding, Size Wu, Wenwei Zhang, Yining Li, Kai Chen, and Chen Change Loy · 2024
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Cloudmix: Dual mixup consistency for unpaired point cloud completion
Fengqi Liu, Jingyu Gong, Qianyu Zhou, Xuequan Lu, Ran Yi, Yuan Xie, and Lizhuang Ma · 2024
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Swin-umamba: Mamba-based unet with imagenet-based pretraining
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, et al · 2024
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Vmamba: Visual state space model
Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie, Yaowei Wang, Qixiang Ye, and Yunfan Liu · 2024
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Rethinking domain generalization: Discriminability and generalizability
Shaocong Long, Qianyu Zhou, Chenhao Ying, Lizhuang Ma, and Yuan Luo · 2024
Closest in time.
Tfs-vit: Token-level feature stylization for domain generalization
Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo A Vargas Hakim, David Osowiechi, Ismail Ben Ayed, and Christian Desrosiers · 2024
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Ba-sam: Scalable bias-mode attention mask for segment anything model
Yiran Song, Qianyu Zhou, Xiangtai Li, Deng-Ping Fan, Xuequan Lu, and Lizhuang Ma · 2024
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Rethinking multi-domain generalization with a general learning objective
Zhaorui Tan, Xi Yang, and Kaizhu Huang · 2024
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Mamba-unet: Unet-like pure visual mamba for medical image segmentation
Ziyang Wang, Jian-Qing Zheng, Yichi Zhang, Ge Cui, and Lei Li · 2024
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Towards open vocabulary learning: A survey
Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, and Dacheng Tao · 2024
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H-vmunet: High-order vision mamba unet for medical image segmentation
Renkai Wu, Yinghao Liu, Pengchen Liang, and Qing Chang · 2024
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Learning feature inversion for multi-class unsupervised anomaly detection under general-purpose coco-ad benchmark
Jiangning Zhang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, and Dacheng Tao · 2024
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Point cloud mamba: Point cloud learning via state space model
Tao Zhang, Xiangtai Li, Haobo Yuan, Shunping Ji, and Shuicheng Yan · 2024
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Style-hallucinated dual consistency learning: A unified framework for visual domain generalization
Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, and Gim Hee Lee · 2024
Closest in time.
Mixstyle neural networks for domain generalization and adaptation
Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang · 2024
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Test-time domain generalization for face anti-spoofing
Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Shouhong Ding, and Lizhuang Ma · 2024
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Vision mamba: Efficient visual representation learning with bidirectional state space model
Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, and Xinggang Wang · 2024
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