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Efficient DenseNet Model with Fusion of Channel and Spatial Attention for Facial Expression Recognition Cover

Efficient DenseNet Model with Fusion of Channel and Spatial Attention for Facial Expression Recognition

Cybernetics and Information Technologies
Volume 24 (2024): Issue 1 (March 2024)
By: Duong Thang Long  
Open Access
|Mar 2024

Authors

Duong Thang Long

duongthanglong@gmail.com

Faculty of Information Technology, Hanoi Open University, Vietnam
DOI: https://doi.org/10.2478/cait-2024-0010 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 171 - 189
Submitted on: Nov 6, 2023
Accepted on: Jan 22, 2024
Published on: Mar 23, 2024
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Convolutional neural networks,
Dense connected network architectures,
Channel and spatial attention mechanisms,
Facial expression recognition
Related subjects:
Computer sciences,
Information technology

© 2024 Duong Thang Long, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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