Our implementation to EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition paper
Were you able to reach the accuracies described in the paper using this implementation?
when I tried to train the emotion_nano_b model I get very bad results, and they only improve if I increase the input image size.
Is there any preprocessing you applied to the images before training the model except the ones used in the image data loader?
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