Pseudo 3D Pose Recognition Network-Reference-Cited by-同舟云学术

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Pseudo 3D Pose Recognition Network

Published:2023 Issue: Volume:11 Page:56380-56391
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xie Yuanfeng¹^ORCID,Yu Xiangyang¹,Hong Weibin²,Xin Zhaolong³,Chen Yanwen⁴

Affiliation:

1. Department of Physics, State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou, China

2. Guangzhou Guangxin Technology Company Ltd., Guangzhou, China

3. Guangdong Topstrong Living Innovation and Integration Company Ltd., Zhongshan, China

4. Guangzhou Gaoke Communications Technology Company Ltd., Guangzhou, China

Funder

“Research on Intelligent Analysis, Judgment, and Recognition of Smart Regulation Behavior,”

“Research on Intelligent Detection Method of Hardware Surface Defects,”

Sun Yat-sen University

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/ielx7/6287639/10005208/10144764.pdf?arnumber=10144764

Reference48 articles.

1. Multi-view Convolutional Neural Networks for 3D Shape Recognition

2. Deep Residual Shrinkage Networks for Fault Diagnosis

3. Pose Recognition of 3D Human Shapes via Multi-View CNN with Ordered View Feature Fusion

4. Squeeze-and-Excitation Networks

5. Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition

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