Hybrid Attention-Aware Learning Network for Facial Expression Recognition in the Wild-Reference-Cited by-同舟云学术

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Hybrid Attention-Aware Learning Network for Facial Expression Recognition in the Wild

Published:2024-01-05 Issue:9 Volume:49 Page:12203-12217
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Gong Weijun,La Zhiyao,Qian Yurong,Zhou Weihang

Funder

National Science Foundation of China

National Science and Technology Major Project

Basic Research Foundation of Universities in the Xinjiang Uygur Autonomous Region of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13369-023-08538-6.pdf

Reference60 articles.

1. Liu, Z.; Wu, M.; Cao, W.; Chen, L.; Xu, J.; Zhang, R.; Meng, Z.; Jun, M.: A facial ex pression emotion recognition based human-robot interaction system. IEEE CAA J. Autom. Sin. 4(4), 668–676 (2017)

2. Corneanu, C.A.; Simón, M.O.; Cohn, J.F.; Guerrero, S.E.: Survey on RGB, 3D, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications. IEEE Trans. Pattern Anal. Mach. Intell. 38(8), 1458–1568 (2016)

3. Fei, Z.; Erfu, Y.; David, L.; Stephen, B.; Winifred, I.; Xia, L.; Huiyu, Z.: Deep convolution network based emotion analysis towards mental health care. Neurocomputing 388, 212–227 (2020)

4. Bisogni, C.; Castiglione, A.; Hossain, S.; Narducci, F.; Umer, S.: Impact of deep learning approaches on facial expression recognition in healthcare industries. IEEE Trans. Ind. Inform. 18(8), 5619–5627 (2022)

5. Lucey, P.; Cohn, J.F.; Kanade, T.; Saragih, J.; Ambadar, Z.; Matthews, I.: The extended cohn-kanade dataset (ck+): a complete dataset for action unit and emotion-specified expression. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 94–101 (2010)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Facial Expression Recognition Under Data Uncertainty Based on Embedding Proximity;IEEE Access;2024

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