Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge

Fuente: arXiv
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Main Authors: Cabacas-Maso, Josep, Ortega-Beltrán, Elena, Benito-Altamirano, Ismael, Ventura, Carles
Format: Preprint
Published: 2024
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author Cabacas-Maso, Josep
Ortega-Beltrán, Elena
Benito-Altamirano, Ismael
Ventura, Carles
author_facet Cabacas-Maso, Josep
Ortega-Beltrán, Elena
Benito-Altamirano, Ismael
Ventura, Carles
contents We present our contribution to the 7th ABAW challenge at ECCV 2024, by utilizing a Dual-Direction Attention Mixed Feature Network (DDAMFN) for multitask facial expression recognition, we achieve results far beyond the proposed baseline for the Multi-Task ABAW challenge. Our proposal uses the well-known DDAMFN architecture as base to effectively predict valence-arousal, emotion recognition, and facial action units. We demonstrate the architecture ability to handle these tasks simultaneously, providing insights into its architecture and the rationale behind its design. Additionally, we compare our results for a multitask solution with independent single-task performance.
format Preprint
id arxiv_https___arxiv_org_abs_2407_12390
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge
Cabacas-Maso, Josep
Ortega-Beltrán, Elena
Benito-Altamirano, Ismael
Ventura, Carles
Computer Vision and Pattern Recognition
I.4
We present our contribution to the 7th ABAW challenge at ECCV 2024, by utilizing a Dual-Direction Attention Mixed Feature Network (DDAMFN) for multitask facial expression recognition, we achieve results far beyond the proposed baseline for the Multi-Task ABAW challenge. Our proposal uses the well-known DDAMFN architecture as base to effectively predict valence-arousal, emotion recognition, and facial action units. We demonstrate the architecture ability to handle these tasks simultaneously, providing insights into its architecture and the rationale behind its design. Additionally, we compare our results for a multitask solution with independent single-task performance.
title Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge
topic Computer Vision and Pattern Recognition
I.4
url https://arxiv.org/abs/2407.12390