Friday, 31 May 2019

Three convolutional neural network models for facial expression recognition in the wild

Two researchers at Shanghai University of Electric Power have recently developed and evaluated new neural network models for facial expression recognition (FER) in the wild. Their study, published in Elsevier's Neurocomputing journal, presents three models of convolutional neural networks (CNNs): a Light-CNN, a dual-branch CNN and a pre-trained CNN.

* This article was originally published here