Variable Rate Independently Recurrent Neural Network (IndRNN) for Action Recognition
Recurrent neural networks (RNNs) have been widely used to solve sequence problems due to their capability of modeling temporal dependency. Despite the rich varieties of RNN models proposed in the literature, the problem of different sampling rates or performing speeds in sequence tasks has not been...
Main Authors: | Yanbo Gao, Chuankun Li, Shuai Li, Xun Cai, Mao Ye, Hui Yuan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/7/3281 |
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