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Material for paper Facial Expression Recognition using Convolutional Neural Networks: State of the Art. The scripts/ folder contains a script that was used for applying histogram equalization to the FER2013 dataset. The models/ folder contains trained Torch7 models (Table IV in the paper):

File Architecture Depth FER2013 Test Accuracy
vgg.t7 VGG 10 72.7%
inception.t7 Inception/GoogLeNet 16 71.6%
resnet.t7 Resnet-34 33 72.4%

Author: Christopher Pramerdorfer, TU Wien
Licence: zlib

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