Neural architecture search using genetic algorithm for facial expression recognition

Author:

Deng Shuchao1,Sun Yanan1,Galvan Edgar2

Affiliation:

1. Sichuan University, Chengdu, China

2. Maynooth University, Ireland

Publisher

ACM

Reference17 articles.

1. Saumya Aghera , Hariyali Gajera , and Suman K Mitra . 2020 . MnasNet Based Lightweight CNN for Facial Expression Recognition. In 2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC). IEEE, IEEE , Gunupur Odisha, India, 1--6. Saumya Aghera, Hariyali Gajera, and Suman K Mitra. 2020. MnasNet Based Lightweight CNN for Facial Expression Recognition. In 2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC). IEEE, IEEE, Gunupur Odisha, India, 1--6.

2. Mouath Aouayeb Wassim Hamidouche Catherine Soladie Kidiyo Kpalma and Renaud Seguier. 2021. Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition. 13 pages. http://arxiv.org/pdf/2107.03107v4 Mouath Aouayeb Wassim Hamidouche Catherine Soladie Kidiyo Kpalma and Renaud Seguier. 2021. Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition. 13 pages. http://arxiv.org/pdf/2107.03107v4

3. Dynamic pose-robust facial expression recognition by multi-view pairwise conditional random forests;Bailly Kevin;IEEE Transactions on Affective Computing,2017

4. Knowledge augmented deep neural networks for joint facial expression and action unit recognition;Cui Zijun;Advances in Neural Information Processing Systems,2020

5. Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification

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