Attention-Enabled Lightweight Neural Network Architecture for Detection of Action Unit Activation-Reference-Cited by-同舟云学术

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Attention-Enabled Lightweight Neural Network Architecture for Detection of Action Unit Activation

Published:2023 Issue: Volume:11 Page:117954-117970
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Deramgozin Mohammad Mahdi¹^ORCID,Jovanovic Slavisa¹^ORCID,Arevalillo-Herráez Miguel²^ORCID,Ramzan Naeem³^ORCID,Rabah Hassan¹^ORCID

Affiliation:

1. CNRS, IJL, Université de Lorraine, Nancy, France

2. Departament d’Informàtica, Escola Tècnica Superior d’Enginyeria, University of Valencia, Valencia, Spain

3. School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley, U.K

Funder

European Erasmus+ Capacity Building for Higher Education program

European Union “NextGenerationEU”/PRTR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10286444.pdf?arnumber=10286444

Reference95 articles.

1. Gender Recognition Based On Combining Facial and Hair Features

2. Towards Global Explanations of Convolutional Neural Networks With Concept Attribution

3. Recent Advances in Deep Learning Techniques for Face Recognition

4. I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time

5. Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework;kollias;arXiv 2103 15792,2021

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