Deep learning-based emotion detection
preprintposted on 2022-01-29, 00:18 authored by Yuwei ChenYuwei Chen, Jianyu He
Since the deep learning methods used in current face recognition do not balance well between recognition rate and recognition speed, the present work proposed a face expression recognition model based on multilayer feature fusion with lightweight convolutional networks. The model is tested on two commonly used real expression datasets, FER- 2013 and AffectNet, the accuracy of ms_model_M is 74.35% and 56.67%, respectively, and the accuracy of the traditional MovbliNet model is 74.11% and 56.48% in the tests of these two datasets.
Email Address of Submitting Authorchyweichen1121@gamil.com
Submitting Author's InstitutionDublin City University
Submitting Author's Country