AR3D: Attention Residual 3D Network for Human Action Recognition

At present, in the field of video-based human action recognition, deep neural networks are mainly divided into two branches: the 2D convolutional neural network (CNN) and 3D CNN. However, 2D CNN’s temporal and spatial feature extraction processes are independent of each other, which means that it is...

Descripción completa

Detalles Bibliográficos
Autores principales: Dong, Min, Fang, Zhenglin, Li, Yongfa, Bi, Sheng, Chen, Jiangcheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957788/
https://www.ncbi.nlm.nih.gov/pubmed/33670835
http://dx.doi.org/10.3390/s21051656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957788/
https://www.ncbi.nlm.nih.gov/pubmed/33670835
http://dx.doi.org/10.3390/s21051656

Ejemplares similares