Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network

Research in human action recognition has accelerated significantly since the introduction of powerful machine learning tools such as Convolutional Neural Networks (CNNs). However, effective and efficient methods for incorporation of temporal information into CNNs are still being actively explored in...

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Detalles Bibliográficos
Autores principales: Wang, Le, Zang, Jinliang, Zhang, Qilin, Niu, Zhenxing, Hua, Gang, Zheng, Nanning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069475/
https://www.ncbi.nlm.nih.gov/pubmed/29933555
http://dx.doi.org/10.3390/s18071979

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069475/
https://www.ncbi.nlm.nih.gov/pubmed/29933555
http://dx.doi.org/10.3390/s18071979

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