CNN–LSTM with Soft Attention Mechanism for Human Action Recognition in Videos

Action recognition in videos is currently a topic of interest in the area of computer vision, due to potential applications such as: multimedia indexing, surveillance in public spaces, among others. Attention mechanisms have become a very important concept within deep learning approach, their operat...

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Detalles Bibliográficos
Autores principales: Orozco, Carlos Ismael, Buemi, María Elena, Jacobo Berlles, Julio
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: FIUBA 2021
Materias:
action recognition
convolutional neural network
long short-term memory
attention mechanism
reconocimiento de acciones
redes neuronales convolucionales
redes neuronales lstm
mecanismo de atención
Acceso en línea:https://elektron.fi.uba.ar/elektron/article/view/130
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=130_oai
Aporte de:
Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

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