ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition

Author:

Zhao SiruiORCID,Tang HuayingORCID,Liu Shifeng,Zhang Yangsong,Wang Hao,Xu Tong,Chen Enhong,Guan Cuntai

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference79 articles.

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3. Survey on rgb, 3D, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications;Corneanu;IEEE Transactions on Pattern Analysis and Machine Intelligence,2016

4. Dai, Y., Gieseke, F., Oehmcke, S., Wu, Y., & Barnard, K. (2021). Attentional feature fusion. In Proceedings of the IEEE/CVF winter conference on applications of computer vision (pp. 3560–3569).

5. Samm: A spontaneous micro-facial movement dataset;Davison;IEEE Transactions on Affective Computing,2016

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