R-STAN: Residual Spatial-Temporal Attention Network for Action Recognition
Two-stream network architecture has the ability to capture temporal and spatial features from videos simultaneously and has achieved excellent performance on video action recognition tasks. However, there is a fair amount of redundant information in both temporal and spatial dimensions in videos, wh...
Main Authors: | Quanle Liu, Xiangjiu Che, Mei Bie |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8740848/ |
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