A Cascade Attention Based Facial Expression Recognition Network by Fusing Multi-Scale Spatio-Temporal Features

The performance of a facial expression recognition network degrades obviously under situations of uneven illumination or partial occluded face as it is quite difficult to pinpoint the attention hotspots on the dynamically changing regions (e.g., eyes, nose, and mouth) as precisely as possible. To ad...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Xiaoliang, He, Zili, Zhao, Liang, Dai, Zhicheng, Yang, Qiaolai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874494/
https://www.ncbi.nlm.nih.gov/pubmed/35214248
http://dx.doi.org/10.3390/s22041350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874494/
https://www.ncbi.nlm.nih.gov/pubmed/35214248
http://dx.doi.org/10.3390/s22041350

Ejemplares similares