Pose Estimation of Multiple Domains Based on the Fusion of Multiple Deep Learning Models and Baidu API-Reference-Cited by-同舟云学术

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Pose Estimation of Multiple Domains Based on the Fusion of Multiple Deep Learning Models and Baidu API

Published:2024-05-10 Issue: Volume:9912 Page:1401-1406
ISSN:
Container-title:2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE)
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Author:

Wang Jieying¹,Song Qingzeng¹,Xue Yongjiang¹,Qiao Fei²

Affiliation:

1. School of Computer Science and Technology, Tiangong University,Tianjin,China

2. Tsinghua University,Beijing,China

Funder

Key Research and Development Program of Xinjiang Uygur Autonomous Region

National Natural Science Foundation of China

Social Sciences Youth Foundation of Ministry of Education of China

Natural Science Foundation of Tianjin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10652598/10652600/10653357.pdf?arnumber=10653357

Reference26 articles.

1. A Comparative Analysis for Single Person and Multi Person Pose Estimation Using Deep Learning Algorithms

2. Human Detection Using Oriented Histograms of Flow and Appearance

3. 2D–3D pose consistency-based conditional random fields for 3D human pose estimation

4. Joint training of a convolutional network and a graphical model for human pose estimation;Tompson;Advances in neural information processing systems,2014

5. Stacked Hourglass Networks for Human Pose Estimatio;Newell,2016

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