Cross-Domain Facial Expression Recognition through Reliable Global–Local Representation Learning and Dynamic Label Weighting

Cross-Domain Facial Expression Recognition through Reliable Global–Local Representation Learning and Dynamic Label Weighting

Cross-Domain Facial Expression Recognition (CD-FER) aims to develop a facial expression recognition model that can be trained in one domain and deliver consistent performance in another. CD-FER poses a significant challenges due to changes in marginal and class distributions between source and targe...

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Bibliographic Details
Main Authors: Yuefang Gao, Yiteng Cai, Xuanming Bi, Bizheng Li, Shunpeng Li, Weiping Zheng
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Electronics
Subjects:
facial expression recognition
pseudo-label learning
label dynamic weight matching
domain adaptation
Online Access:https://www.mdpi.com/2079-9292/12/21/4553

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