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1. Deep learning based microexpression recognition: a survey
Fig. 1 Microexpression recognition methods are categorized into five classes based on the types of information they capture: spatial deep learning methods, temporal deep learning methods, spatial-temporal deep learning methods, spatial-contextual deep learning methods, and hybrid methods
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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