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@article{ART002880875},
author={Yeo Chan Yoon and Soo Kyun Kim},
title={Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={9},
pages={41-47},
doi={10.9708/jksci.2022.27.09.041}

TY - JOUR
AU - Yeo Chan Yoon
AU - Soo Kyun Kim
TI - Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 9
PB - The Korean Society Of Computer And Information
SP - 41
EP - 47
SN - 1598-849X
AB - In this paper, we propose a new and simple self-supervised learning method that predicts the middle image of a face image sequence for automatic expression recognition. Automatic facial expression recognition can achieve high performance through deep learning methods, however, generally requires a expensive large data set. The size of the data set and the performance of the algorithm are tend to be proportional. The proposed method learns latent deep representation of a face through self-supervised learning using an existing dataset without constructing an additional dataset. Then it transfers the learned parameter to new facial expression reorganization model for improving the performance of automatic expression recognition. The proposed method showed high performance improvement for two datasets, CK+ and AFEW 8.0, and showed that the proposed method can achieve a great effect.
KW - Facial Expression Recognition;Unsupervised-learning;Self-supervised Learning;Deep Learning;Artificial Intelligence
DO - 10.9708/jksci.2022.27.09.041
ER -

Yeo Chan Yoon and Soo Kyun Kim. (2022). Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence. Journal of The Korea Society of Computer and Information, 27(9), 41-47.

Yeo Chan Yoon and Soo Kyun Kim. 2022, "Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence", Journal of The Korea Society of Computer and Information, vol.27, no.9 pp.41-47. Available from: doi:10.9708/jksci.2022.27.09.041

Yeo Chan Yoon, Soo Kyun Kim "Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence" Journal of The Korea Society of Computer and Information 27.9 pp.41-47 (2022) : 41.

Yeo Chan Yoon, Soo Kyun Kim. Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence. 2022; 27(9), 41-47. Available from: doi:10.9708/jksci.2022.27.09.041

Yeo Chan Yoon and Soo Kyun Kim. "Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence" Journal of The Korea Society of Computer and Information 27, no.9 (2022) : 41-47.doi: 10.9708/jksci.2022.27.09.041

Yeo Chan Yoon; Soo Kyun Kim. Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence. Journal of The Korea Society of Computer and Information, 27(9), 41-47. doi: 10.9708/jksci.2022.27.09.041

Yeo Chan Yoon; Soo Kyun Kim. Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence. Journal of The Korea Society of Computer and Information. 2022; 27(9) 41-47. doi: 10.9708/jksci.2022.27.09.041

Yeo Chan Yoon, Soo Kyun Kim. Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence. 2022; 27(9), 41-47. Available from: doi:10.9708/jksci.2022.27.09.041

Yeo Chan Yoon and Soo Kyun Kim. "Facial Expression Recognition through Self-supervised Learning for Predicting Face Image Sequence" Journal of The Korea Society of Computer and Information 27, no.9 (2022) : 41-47.doi: 10.9708/jksci.2022.27.09.041