Fusion of Triple Attention to Residual in Residual Dense Block to Attention Based CNN for Facial Expression Recognition
Author:
Affiliation:
1. National Taichung University of Science and Technology,Taichung,Taiwan
2. National Chung Hsing University,Taichung,Taiwan
Funder
Ministry of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945323.pdf?arnumber=9945323
Reference39 articles.
1. Distract your attention: Multi-head cross attention network for facial expression recognition;wen;arXiv preprint arXiv 2109 05674,2021
2. Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition
3. Training deep networks for facial expression recognition with crowd-sourced label distribution
4. Facial expression recognition using convolutional neural networks: state of the art;pramerdorfer;arXiv preprint arXiv 1612 02903,2016
5. Deep learning using support vector machines;tang;CoRR,2013
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3. Facial Expression Recognition in the Wild from Attention to Vision Transformer based CNNs;2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2023-07-17
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