Domain consistency regularization for unsupervised multi-source domain adaptive classification
Deep learning-based multi-source unsupervised domain adaptation (MUDA) has been actively studied in recent years. Compared with single-source unsupervised domain adaptation (SUDA), domain shift in MUDA exists not only between the source and target domains but also among multiple source domains. Most...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/164101 |
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機構: | Nanyang Technological University |
語言: | English |