Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to address the domain-shift problem between a labeled source domain and an unlabeled target domain. Many efforts have been made to eliminate the mismatch between the distributions of training and testing data by learning domain-invariant representations. How...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 24., Seite 1012-1026
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| 1. Verfasser: |
Dai, Pingyang
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Peixian,
Wu, Qiong,
Hong, Xiaopeng,
Ye, Qixiang,
Tian, Qi,
Lin, Chia-Wen,
Ji, Rongrong |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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