Unified Modality Separation : A Vision-Language Framework for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) enables models trained on a labeled source domain to handle new unlabeled domains. Recently, pre-trained vision-language models (VLMs) have demonstrated promising zero-shot performance by leveraging semantic information to facilitate target tasks. By aligning vis...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 11 vom: 22. Okt., Seite 10604-10618
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| Auteur principal: |
Li, Xinyao
(Auteur) |
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| Autres auteurs: |
Li, Jingjing,
Du, Zhekai,
Zhu, Lei,
Shen, Heng Tao |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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