Adaptively Learning Facial Expression Representation via C-F Labels and Distillation
Facial expression recognition is of significant importance in criminal investigation and digital entertainment. Under unconstrained conditions, existing expression datasets are highly class-imbalanced, and the similarity between expressions is high. Previous methods tend to improve the performance o...
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 13., Seite 2016-2028 |
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Auteur principal: | |
Autres auteurs: | , , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2021
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Sujets: | Journal Article |
Accès en ligne |
Volltext |