Open Access
| Issue |
E3S Web Conf.
Volume 522, 2024
2023 9th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2023)
|
|
|---|---|---|
| Article Number | 01054 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202452201054 | |
| Published online | 07 May 2024 | |
- Mehrabian A. Communication without words [M]. Communication theory. Routledge, 2017, pp. 193–200. [CrossRef] [Google Scholar]
- Chollet F. Xception: Deep learning with depthwise separable convolutions[C]. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. 2017, pp. 1800–1807. [Google Scholar]
- Hu J., Shen L., Sun G. Squeeze-and-Excitation Networks[C]. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2018, pp. 7132–7141. [Google Scholar]
- Woo S., Park J., Lee J.Y. CBAM: Convolutional block attention module[C]. In Proceedings of the European conference on computer vision (ECCV). 2018, pp. 3–19. [Google Scholar]
- Jinyuan Ni, Jianxun Zhang, Xinyue Zhang. Facial expression recognition based on deep wide residual network attention mechanism [J]. Journal of Chongqing University of Technology, 2023, vol. 37, No. 1, pp. 9–14. [Google Scholar]
- Aouayeb M., Hamidouche W., Soladie C., et al. Learning vision transformer with squeeze and excitation for facial expression recognition[J]. arXiv:2107.03107, 2021. [Google Scholar]
- Kim D.H., Baddar W.J., Jang J., et al. Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition[J]. Affective Computing, 2019, vol. 10, No. 2, pp. 223–236. [CrossRef] [Google Scholar]
- Ling L., Xie H., Shuai H., et al. MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network[C]. In Proceedings of 2020 IEEE Conference on Multimedia Information Processing and Retrieval, 2020. [Google Scholar]
- Zhao G., Pietikainen M. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2007, vol. 29, pp. 915–928. [CrossRef] [PubMed] [Google Scholar]
- Scovanner P. A 3-dimensional sift descriptor and its application to action recognition [J]. ACM Multimedia, 2007. [Google Scholar]
- Ji S., Xu W., Yang M. 3D Convolutional Neural Networks for Human Action Recognition [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2013, vol. 35, no. 1, pp. 221–231. [CrossRef] [PubMed] [Google Scholar]
- Min Hu, Yong Gao, Hao Wu. Fusion of Edge Detection and Recurrent Neural Network for Video Expression Recognition [J]. Journal of Electronic Measurement and Instrumentation, 2020, vol. 7, no. 34, pp. 103–111. [Google Scholar]
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