Deep learning-based microexpression recognition: a survey
With the recent development of microexpression recognition, deep learning (DL) has been widely applied in this field. In this paper, we provide a comprehensive survey of the current DL-based microexpression (ME) recognition methods. In addition, we introduce a novel dataset based on fusing all the e...
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| Veröffentlicht in: | Neural computing & applications 2022-06, Vol.34 (12), p.9537-9560 |
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| container_title | Neural computing & applications |
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| creator | Gong, Wenjuan An, Zhihong Elfiky, Noha M. |
| description | With the recent development of microexpression recognition, deep learning (DL) has been widely applied in this field. In this paper, we provide a comprehensive survey of the current DL-based microexpression (ME) recognition methods. In addition, we introduce a novel dataset based on fusing all the existing ME datasets. We also evaluate a baseline DL for the microexpression recognition task. Finally, we make the new dataset and the code publicly available to the community at
https://github.com/wenjgong/microExpressionSurvey
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| doi_str_mv | 10.1007/s00521-022-07157-w |
| format | Article |
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https://github.com/wenjgong/microExpressionSurvey
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https://github.com/wenjgong/microExpressionSurvey
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| issn | 0941-0643 1433-3058 |
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| subjects | Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Datasets Deep learning Image Processing and Computer Vision Probability and Statistics in Computer Science Recognition Review |
| title | Deep learning-based microexpression recognition: a survey |
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