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

Zhao, Xuejun; Stanislawski, Rafal; Gardoni, Paolo; Sulowicz, Maciej; Glowacz, Adam; Krolczyk, Grzegorz; Li, Zhixiong

Zhao, Xuejun; Stanislawski, Rafal; Gardoni, Paolo; Sulowicz, Maciej; Glowacz, Adam; Krolczyk, Grzegorz; Li, Zhixiong.

Afiliação

Zhao X; CRRC Academy Co., Ltd., Beijing 100070, China.
Stanislawski R; Department of Electrical, Control and Computer Engineering, Opole University of Technology, 45-758 Opole, Poland.
Gardoni P; Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.
Sulowicz M; Department of Electrical Engineering, Cracow University of Technology, 31-155 Cracow, Poland.
Glowacz A; Department of Electrical Engineering, Cracow University of Technology, 31-155 Cracow, Poland.
Krolczyk G; Faculty of Mechanical Engineering, Opole University of Technology, 45-758 Opole, Poland.
Li Z; Faculty of Mechanical Engineering, Opole University of Technology, 45-758 Opole, Poland.

Sensors (Basel) ; 22(11)2022 Jun 02.

Article em En | MEDLINE | ID: mdl-35684857

Assuntos

Aprendizagem; Aprendizado de Máquina; Aclimatação; Análise por Conglomerados

Palavras-chave

contrastive learning; source free domain adaptation; unsupervised domain adaptation

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Aprendizagem Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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