Temporal Spiking Recurrent Neural Network for Action Recognition

Temporal Spiking Recurrent Neural Network for Action Recognition

In this paper, we propose a novel temporal spiking recurrent neural network (TSRNN) to perform robust action recognition in videos. The proposed TSRNN employs a novel spiking architecture which utilizes the local discriminative features from high-confidence reliable frames as spiking signals. The co...

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Bibliographic Details
Main Authors: Wei Wang, Siyuan Hao, Yunchao Wei, Shengtao Xiao, Jiashi Feng, Nicu Sebe
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Action recognition
temporal spiking
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/8808849/

Internet

https://ieeexplore.ieee.org/document/8808849/

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