A convolution-transformer dual branch network for head-pose and occlusion facial expression recognition-Reference-Cited by-同舟云学术

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A convolution-transformer dual branch network for head-pose and occlusion facial expression recognition

Published:2022-02-13 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Liang Xingcan,Xu Linsen,Zhang Wenxiang,Zhang Yan,Liu Jinfu,Liu Zhipeng

Funder

National Key R&D Program of China

Jiangsu Special Project for Frontier Leading Base Technology

Key Support Project of Dean Fund of Hefei Institutes of Physical Science, CAS

Strategic High-tech Innovation Fund of Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-022-02413-5.pdf

Reference57 articles.

1. Agrawal, A., Mittal, N.: Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy. Vis. Comput. 36(2), 405–412 (2020). https://doi.org/10.1007/s00371-019-01630-9

2. Barsoum, E., Zhang, C., Ferrer, C.C., Zhang, Z.: Training deep networks for facial expression recognition with crowd-sourced label distribution. In: Proceedings of the 18th ACM International Conference on Multimodal Interaction, pp. 279–283 (2016)

3. Cai, J., Meng, Z., Khan, A.S., Li, Z., O’Reilly, J., Tong, Y.: Island loss for learning discriminative features in facial expression recognition. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 302–309. IEEE (2018)

4. Chen, L.F., Zhou, M.T., Su, W.J., Wu, M., She, J.H., Hirota, K.: Softmax regression based deep sparse autoencoder network for facial emotion recognition in human–robot interaction. Inf. Sci. 428, 49–61 (2018). https://doi.org/10.1016/j.ins.2017.10.044

5. Cruz, E.A.S., Jung, C.R., Franco, C.H.E.: Facial expression recognition using temporal poem features. Pattern Recognit. Lett. 114, 13–21 (2018). https://doi.org/10.1016/j.patrec.2017.08.008

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