LOGO-Former: Local-Global Spatio-Temporal Transformer for Dynamic Facial Expression Recognition

Previous methods for dynamic facial expression recognition (DFER) in the wild are mainly based on Convolutional Neural Networks (CNNs), whose local operations ignore the long-range dependencies in videos. Transformer-based methods for DFER can achieve better performances but result in higher FLOPs a...

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Bibliographic Details
Main Authors Ma, Fuyan, Sun, Bin, Li, Shutao
Format Journal Article
LanguageEnglish
Published 05.05.2023
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