EmoP3D: A Brain like Pyramidal Deep Neural Network for Emotion Recognition

Emanuel Di Nardo, Alfredo Petrosino, Ihsan Ullah; Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018, pp. 0-0

Abstract


The paper reports a new model based on the understanding and encompassing intelligence from brain i.e. biological pyramidal neurons, tailored for emotion recognition. Our objective is to introduce and utilize usage of non-Convolutional layers in models and show comparable or state-of-the-art performance for multi-class emotion recognition problem. We open-sourced the optimized code for researchers. Our model shows state-of-the-art performance on two emotion recognition datasets (eNTERFACE and Youtube) enhancing previous best result by 9.47% and 20.8%, respectively.

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[bibtex]
@InProceedings{Nardo_2018_ECCV_Workshops,
author = {Di Nardo, Emanuel and Petrosino, Alfredo and Ullah, Ihsan},
title = {EmoP3D: A Brain like Pyramidal Deep Neural Network for Emotion Recognition},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) Workshops},
month = {September},
year = {2018}
}