Hybrid Convolutional Neural Network and Long Short-Term Memory Approach for Facial Expression Recognition-Reference-Cited by-同舟云学术

Hybrid Convolutional Neural Network and Long Short-Term Memory Approach for Facial Expression Recognition

Published:2023 Issue:1 Volume:35 Page:689-704
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

N. Kavitha M.,RajivKannan A.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v35n1/48117/pdf

Reference21 articles.

1. J. Cai, Z. Meng, A. S. Khan, Z. Li, J. O'Reilly et al., “Identity-free facial expression recognition using conditional generative adversarial network,” arXiv preprint arXiv:1903.08051, 1–7, 2019.

2. Facial expression recognition from line-based caricatures;Gao;IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans,2003

3. Facial expression recognition: A survey;Kumari;Procedia Computer Science,2015

4. Deep spatial-temporal feature fusion for facial expression recognition in static images;Sun;Pattern Recognition Letters,2019

5. Illumination invariant facial expression recognition using selected merged binary patterns for real world images;Munir;Optik,2018

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