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.
from News on Artificial Intelligence and Machine Learning http://bit.ly/2X6NTnk
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Three convolutional neural network models for facial expression recognition in the wild
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