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WuJie1010 / Facial-Expression-Recognition.Pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
MIT License
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Why not use Cross-validation technique? #84

Closed moxiaokui closed 4 years ago

moxiaokui commented 4 years ago

Hi, I want to know why don't you split the training set to training and validation set. It is normal to do that, but I don't see that in your code. Also, did the FER2013 winner used the cross-validation technique? Thanks.

WuJie1010 commented 4 years ago

FER2013 has validation set itself, so we can train in the training set and validate in the validation set.