Unsupervised Domain Expansion for Visual Categorization

Expanding visual categorization into a novel domain without the need of extra annotation has been a long-term interest for multimedia intelligence. Previously, this challenge has been approached by unsupervised domain adaptation (UDA). Given labeled data from a source domain and unlabeled data from...

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Veröffentlicht in:	ACM transactions on multimedia computing communications and applications 2021-11, Vol.17 (4), p.1-24
Hauptverfasser:	Wang, Jie, Tian, Kaibin, Ding, Dayong, Yang, Gang, Li, Xirong
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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