Patch Attention Layer of Embedding Handcrafted Features in CNN for Facial Expression Recognition

Recognizing facial expression has attracted much more attention due to its broad range of applications in human–computer interaction systems. Although facial representation is crucial to final recognition accuracy, traditional handcrafted representations only reflect shallow characteristics and it i...

Descripción completa

Detalles Bibliográficos
Autores principales: Liang, Xingcan, Xu, Linsen, Liu, Jinfu, Liu, Zhipeng, Cheng, Gaoxin, Xu, Jiajun, Liu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865259/
https://www.ncbi.nlm.nih.gov/pubmed/33513723
http://dx.doi.org/10.3390/s21030833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865259/
https://www.ncbi.nlm.nih.gov/pubmed/33513723
http://dx.doi.org/10.3390/s21030833

Ejemplares similares