Local Uncertainty Energy Transfer for Active Domain Adaptation

Active Domain Adaptation (ADA) improves knowledge transfer efficiency from the labeled source domain to the unlabeled target domain by selecting a few target sample labels. However, most existing active sampling methods ignore the local uncertainty of neighbors in the target domain,making it easier...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2025) vom: 24. Jan.
Auteur principal: Sun, Yulin (Auteur)
Autres auteurs: Shi, Guangming, Dong, Weisheng, Li, Xin, Dong, Le, Xie, Xuemei
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article