Enhancing Noisy Label Facial Expression Recognition With Split and Merge Consistency Regularization

Facial expression recognition (FER) has been extensively studied in various applications over the past few years. However, in real facial expression datasets, labels can become noisy due to the ambiguity of expressions, the similarity between classes, and the subjectivity of annotators. These noisy...

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Auteurs principaux:	Jihyun Kim, Junehyoung Kwon, Mihyeon Kim, Eunju Lee, Youngbin Kim
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2023-01-01
Collection:	IEEE Access
Sujets:	Consistency regularization deep learning facial expression recognition image classification noisy label learning
Accès en ligne:	https://ieeexplore.ieee.org/document/10345539/
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