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...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 09., Seite 7403-7418
|
1. Verfasser: |
Wang, Shuang
(VerfasserIn) |
Weitere Verfasser: |
Zhao, Dong,
Zhang, Chi,
Guo, Yuwei,
Zang, Qi,
Gu, Yu,
Li, Yi,
Jiao, Licheng |
Format: | Online-Aufsatz
|
Sprache: | English |
Veröffentlicht: |
2022
|
Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
Schlagworte: | Journal Article |