Feature Fusion for Dual-Stream Cooperative Action Recognition
Author:
Affiliation:
1. College of Computer Science and Engineering, Guangxi Normal University, Guilin, China
2. College of Physics and Electronic Engineering, Nanning Normal University, Nanning, China
Funder
Innovation Project of Guangxi Graduate Education
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10287356.pdf?arnumber=10287356
Reference44 articles.
1. Dual-Path Adaptation from Image to Video Transformers
2. Direction-guided two-stream convolutional neural networks for skeleton-based action recognition
3. Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks
4. RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos
5. Skeleton-based human action recognition via convolutional neural networks (CNN);ali;arXiv 2301 13360,2023
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