MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images

19 Nov 2017İlke ÇuğuEren ŞenerEmre Akbaş

This paper is aimed at creating extremely small and fast convolutional neural networks (CNN) for the problem of facial expression recognition (FER) from frontal face images. To this end, we employed the popular knowledge distillation (KD) method and identified two major shortcomings with its use: 1) a fine-grained grid search is needed for tuning the temperature hyperparameter and 2) to find the optimal size-accuracy balance, one needs to search for the final network size (i.e. the compression rate)... (read more)

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