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Deep Joint Spatiotemporal Network (DJSTN) for Efficient Facial Expression Recognition

Understanding a person’s feelings is a very important process for the affective computing. People express their emotions in various ways. Among them, facial expression is the most effective way to present human emotional status. We propose efficient deep joint spatiotemporal features for facial expr...

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Detalhes bibliográficos
Publicado no:Sensors (Basel)
Main Authors: Jeong, Dami, Kim, Byung-Gyu, Dong, Suh-Yeon
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7180996/
https://ncbi.nlm.nih.gov/pubmed/32235662
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20071936
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