Adaptive Contrastive Learning with Label Consistency for Source Data Free Unsupervised Domain Adapta...
Adaptive Contrastive Learning with Label Consistency for Source Data Free Unsupervised Domain Adaptation
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Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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Unsupervised domain adaptation, which aims to alleviate the domain shift between source domain and target domain, has attracted extensive research interest; however, this is unlikely in practical application scenarios, which may be due to privacy issues and intellectual rights. In this paper, we discuss a more challenging and practical source-free...
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Adaptive Contrastive Learning with Label Consistency for Source Data Free Unsupervised Domain Adaptation
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TN_cdi_doaj_primary_oai_doaj_org_article_2b946b4082d7405d859e3981eabd7dd8
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b946b4082d7405d859e3981eabd7dd8
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22114238
