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Existing domain adaptation methods generally assume different domains have the identical label space, which is quite restrict for real-world applications.
Laurens van der Maaten and Geoffrey Hinton · 2008
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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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A survey on transfer learning
Sinno Jialin Pan, Qiang Yang, et al · 2010
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Adapting visual category models to new domains
Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell · 2010
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Geodesic flow kernel for unsupervised domain adaptation
Boqing Gong, Yuan Shi, Fei Sha, and Kristen Grauman · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Multi-class open set recognition using probability of inclusion
Lalit P. Jain1, Walter J. Scheirer, and Terrance E. Boult · 2014
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Deep domain confusion: Maximizing for domain invariance
Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell · 2014
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Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
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Learning transferable features with deep adaptation networks
Mingsheng Long, Yue Cao, Jianmin Wang, and Michael Jordan · 2015
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Towards open set deep networks
Abhijit Bendale and Terrance E. Boult · 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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Unsupervised domain adaptation with residual transfer networks
Mingsheng Long, Han Zhu, Jianmin Wang, and Michael I Jordan · 2016
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Unsupervised cross-domain image generation
Yaniv Taigman, Adam Polyak, and Lior Wolf · 2016
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Unsupervised pixel-level domain adaptation with generative adversarial networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, and Dilip Krishnan · 2017
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Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
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Partial transfer learning with selective adversarial networks
Zhangjie Cao, Mingsheng Long, Jianmin Wang, and Michael I. Jordan · 2018
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Partial adversarial domain adaptation
Zhangjie Cao, Lijia Ma, Mingsheng Long, and Jianmin Wang · 2018
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Self-ensembling for visual domain adaptation
Geoff French, Michal Mackiewicz, and Mark Fisher · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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Adaptive batch normalization for practical domain adaptation
Yanghao Li, Naiyan Wang, Jianping Shi, Xiaodi Hou, and Jiaying Liu · 2018
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ZongYuan Ge, Sergey Demyanov, Zetao Chen, and Rahil Garnavi · 2017
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Mingsheng Long, Han Zhu, Jianmin Wang, and Michael I. Jordan · 2017
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Syn2real: A new benchmark forsynthetic-to-real visual domain adaptation
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, and Kate Saenko · 2018
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Open set domain adaptation by backpropagation
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, and Tatsuya Harada · 2018
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Learning factorized representations for open-set domain adaptation
Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, and Mathieu Salzmann · 2019
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