EmoP3D: A Brain like Pyramidal Deep Neural Network for Emotion Recognition
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.
Cite
Text
Di Nardo et al. "EmoP3D: A Brain like Pyramidal Deep Neural Network for Emotion Recognition." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11015-4_46Markdown
[Di Nardo et al. "EmoP3D: A Brain like Pyramidal Deep Neural Network for Emotion Recognition." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/nardo2018eccvw-emop3d/) doi:10.1007/978-3-030-11015-4_46BibTeX
@inproceedings{nardo2018eccvw-emop3d,
title = {{EmoP3D: A Brain like Pyramidal Deep Neural Network for Emotion Recognition}},
author = {Di Nardo, Emanuel and Petrosino, Alfredo and Ullah, Ihsan},
booktitle = {European Conference on Computer Vision Workshops},
year = {2018},
pages = {607-616},
doi = {10.1007/978-3-030-11015-4_46},
url = {https://mlanthology.org/eccvw/2018/nardo2018eccvw-emop3d/}
}