Adaptive Contrastive Learning with Label Consistency for Source Data Free Unsupervised Domain Adaptation

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 dis...

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Detalles Bibliográficos
Autores principales: Zhao, Xuejun, Stanislawski, Rafal, Gardoni, Paolo, Sulowicz, Maciej, Glowacz, Adam, Krolczyk, Grzegorz, Li, Zhixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185254/
https://www.ncbi.nlm.nih.gov/pubmed/35684857
http://dx.doi.org/10.3390/s22114238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185254/
https://www.ncbi.nlm.nih.gov/pubmed/35684857
http://dx.doi.org/10.3390/s22114238

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