Cargando…
Self-Difference Convolutional Neural Network for Facial Expression Recognition
Facial expression recognition (FER) is a challenging problem due to the intra-class variation caused by subject identities. In this paper, a self-difference convolutional network (SD-CNN) is proposed to address the intra-class variation issue in FER. First, the SD-CNN uses a conditional generative a...
Autores principales: | Liu, Leyuan, Jiang, Rubin, Huo, Jiao, Chen, Jingying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005141/ https://www.ncbi.nlm.nih.gov/pubmed/33807088 http://dx.doi.org/10.3390/s21062250 |
Ejemplares similares
-
Facial expression recognition based on improved depthwise separable convolutional network
por: Huo, Hua, et al.
Publicado: (2022) -
Multilabel convolution neural network for facial expression recognition and ordinal intensity estimation
por: Ekundayo, Olufisayo, et al.
Publicado: (2021) -
FERGCN: facial expression recognition based on graph convolution network
por: Liao, Lei, et al.
Publicado: (2022) -
Pet dog facial expression recognition based on convolutional neural network and improved whale optimization algorithm
por: Mao, Yan, et al.
Publicado: (2023) -
Automatic Facial Recognition of Williams-Beuren Syndrome Based on Deep Convolutional Neural Networks
por: Liu, Hui, et al.
Publicado: (2021)