A novel PSO-ViT approach for facial emotion recognition
Author:
Affiliation:
1. National School of Computer Science, Manouba University, Manouba, Tunisia
Funder
no financial
Publisher
Informa UK Limited
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2297016
Reference53 articles.
1. Aloysius N, Geetha M. 2017. A review on deep convolutional neural networks. Proceedings of the 2017 international conference on communication and signal processing (ICCSP); Chennai, India. IEEE. p. 0588–0592.
2. Facial expression recognition using human machine interaction and multi-modal visualization analysis for healthcare applications
3. Learning vision transformer with squeeze and excitation for facial expression recognition;Aouayeb M;arXiv preprint arXiv:2107.03107,2021
4. Bansal JC. 2019. Particle swarm optimization. In: Evolutionary and swarm intelligence algorithms. Springer; p. 11–23.
5. Training deep networks for facial expression recognition with crowd-sourced label distribution
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