Cluster Alignment With Target Knowledge Mining for Unsupervised Domain Adaptation Semantic Segmentation
Unsupervised domain adaptation (UDA) carries out knowledge transfer from the labeled source domain to the unlabeled target domain. Existing feature alignment methods in UDA semantic segmentation achieve this goal by aligning the feature distribution between domains. However, these feature alignment...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 09., Seite 7403-7418
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| Auteur principal: |
Wang, Shuang
(Auteur) |
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| Autres auteurs: |
Zhao, Dong,
Zhang, Chi,
Guo, Yuwei,
Zang, Qi,
Gu, Yu,
Li, Yi,
Jiao, Licheng |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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