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- W3204750100 abstract "This paper proposes a facial expression recognition system for smart learning on classroom. Firstly, YOLO is used to extract face images of multiple students from high-resolution video; secondly, face images are preprocessed, then a self-attention based model named Vision Transformer (ViT) is used to recognize facial expressions; finally, the classified facial expression is used to assist teacher to analyze students’ learning status, so as to provide suggestions for improving teaching effect." @default.
- W3204750100 created "2021-10-11" @default.
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- W3204750100 date "2021-04-23" @default.
- W3204750100 modified "2023-10-16" @default.
- W3204750100 title "A Facial Expression Recognition System for Smart Learning Based on YOLO and Vision Transformer" @default.
- W3204750100 cites W2151103935 @default.
- W3204750100 doi "https://doi.org/10.1145/3467707.3467733" @default.
- W3204750100 hasPublicationYear "2021" @default.
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