A Highly Compressed Accelerator With Temporal Optical Flow Feature Fusion and Tensorized LSTM for Video Action Recognition on Terminal Device
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Shanghai Jiao Tong University, Shanghai, China
2. Beijing Institute of Astronautical Systems Engineering, Beijing, China
Funder
National Key Research and Development Program of China
Chinese Defense Program of Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/43/10255327/10032624.pdf?arnumber=10032624
Reference58 articles.
1. On the integration of optical flow and action recognition;sevilla-lara;Proc GCPR,2018
2. Dense Trajectories and Motion Boundary Descriptors for Action Recognition
3. DEEPEYE
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5. In-Datacenter Performance Analysis of a Tensor Processing Unit
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