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- W4380031007 abstract "Facial expression recognition is a research hot spot in computer vision, which can be widely used in automatic driving, online classroom, social networking and other aspects. In view of the problems of the convolutional neural network in facial expression recognition, such as large computer complexity, large input size and insufficient local feature extraction, a network model based on the improved ResNet network is built by using Center-Loss function to improve the ResNet network, improve feature extraction ability of the model and the accuracy of model recognition. Experiments show that there are some improvements in FER2013 and CK+ expression data sets." @default.
- W4380031007 created "2023-06-10" @default.
- W4380031007 creator A5040064733 @default.
- W4380031007 date "2023-02-01" @default.
- W4380031007 modified "2023-10-16" @default.
- W4380031007 title "Research on Facial Expression Recognition Model Based on ResNet Network" @default.
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- W4380031007 doi "https://doi.org/10.1109/acctcs58815.2023.00089" @default.
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