Facial Expression Manipulation for Personalized Facial Action Estimation

Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit labels, and domain shift are three main obstacles in training models to detect facial actions and estimate their intensity. To address these problems, we propose an approach that incorporates facial e...

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Bibliographic Details
Main Authors: Koichiro Niinuma, Itir Onal Ertugrul, Jeffrey F. Cohn, László A. Jeni
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Signal Processing
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frsip.2022.861641/full