Visually Source-Free Domain Adaptation via Adversarial Style Matching

The majority of existing works explore Unsupervised Domain Adaptation (UDA) with an ideal assumption that samples in both domains are available and complete. In real-world applications, however, this assumption does not always hold. For instance, data-privacy is becoming a growing concern, the sourc...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 31., Seite 1032-1044
1. Verfasser: Jing, Mengmeng (VerfasserIn)
Weitere Verfasser: Li, Jingjing, Lu, Ke, Zhu, Lei, Shen, Heng Tao
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article