3D Dual-stream Convolutional Neural Networks with Simple Recurrent Unit Network: A New Framework for Action Recognition-Reference-Cited by-同舟云学术

3D Dual-stream Convolutional Neural Networks with Simple Recurrent Unit Network: A New Framework for Action Recognition

Published:2022-05-27 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE)
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Author:

Zhai Jiecheng¹,Yao Xunxiang¹,Dong Guangyuan¹,Jiang Qun¹,Zhang Yunfeng¹

Affiliation:

1. Shandong University of Finance and Economics Key Laboratory of Digital Media technology, Shandong University of Finance and Economics,College of Computer Science and Technology,Jinan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9850967/9850968/09851166.pdf?arnumber=9851166

Reference27 articles.

1. Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice

2. Dense Trajectories and Motion Boundary Descriptors for Action Recognition

3. Action Recognition with Improved Trajectories

4. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

5. Convolutional Two-Stream Network Fusion for Video Action Recognition

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