Facial expression recognition has been a heated investigate topic during recent years which can be applied in various aspects of people’s daily life, such as entertainment pictures’ generation, check-in machine of a company, etc. In this work we investigate the effect of adding visual attention mechanism to a facial expression recognition deep learning method. The main contribution is to form a new architecture to apply SE Block to normal VGGNet which shows that a significant improvement on the accuracy of facial expression recognition. These findings are properly tested on 66.8% accuracy, which validates the effectiveness of the proposed SE-VGGNet.


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    Titel :

    Research on Facial Expression Recognition Based on Deep Learning Method


    Beteiligte:
    Fu, Shihan (Autor:in)


    Erscheinungsdatum :

    2022-10-12


    Format / Umfang :

    1139612 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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