A novel multi-scale facial expression recognition algorithm based on improved Res2Net for classroom scenes
Author:
Funder
Jiangsu Agricultural Science and Technology Independent Innovation Fund
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16115-0.pdf
Reference36 articles.
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2. Gao SH, Cheng MM, Zhao K et al (2019) Res2net: a new multi-scale backbone architecture. IEEE Trans Pattern Anal Mach Intell 43(2):652–662. https://doi.org/10.1109/tpami.2019.2938758
3. Gao T, Zhaochen Y, Ting C et al (2021) Deep multi-scale fusion attention residual face expression recognition network[J]. J Intell Syst 17(2):393–401. https://doi.org/10.11992/tis.202107028
4. Gupta SK, Ashwin TS, Guddeti RMR (2019) Students' affective content analysis in smart classroom environment using deep learning techniques. Multimed Tools Appl 78(18):25321–25348. https://doi.org/10.1007/s11042-019-7651-z
5. Hou Q, Zhou D, Feng J. (2021) Coordinate attention for efficient mobile network design. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition(CVPR), pp 13713-13722. https://doi.org/10.1109/cvpr46437.2021.01350
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