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An End-to-End Deep Model With Discriminative Facial Features for Facial Expression Recognition
2021
IEEE Access
Due to the complex challenges of the environment and emotion expressions, most facial expression recognition systems cannot achieve a high recognition rate. More discriminative features can describe facial expressions more accurately, so facial feature extraction is the key technology for facial expression recognition. In this article, an effective end-to-end deep model is proposed to improve the accuracy of face recognition. Considering the importance of data pre-processing (very few studies
doi:10.1109/access.2021.3051403
fatcat:btlf4o2qpvdufoyje4dwc72upi