Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild

10/03/2020

∙

by   Hafiq Anas, et al.

∙

0

∙

share

This paper describes the proposed methodology, data used and the results of our participation in the ChallengeTrack 2 (Expr Challenge Track) of the Affective Behavior Analysis in-the-wild (ABAW) Competition 2020. In this competition, we have used a proposed deep convolutional neural network (CNN) model to perform automatic facial expression recognition (AFER) on the given dataset. Our proposed model has achieved an accuracy of 50.77 of 29.16