Attention‐based spatial–temporal hierarchical ConvLSTM network for action recognition in videos
Author:
Affiliation:
1. School of Electronic Engineering, Xidian UniversityXi'anPeople's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5830
Reference60 articles.
1. A survey on vision-based human action recognition
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3. Action recognition with trajectory-pooled deep-convolutional descriptors
4. Simonyan K. Zisserman A.: ‘Very deep convolutional networks for large‐scale image recognition’ arXiv preprint arXiv:14091556 2014
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