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Human pose evaluation based on full-domain convolution and LSTM

Yu Zou

Yu Zou

  • School of Aritificial Intelligence (School of Future Technology), Nanjing University of Information Science & TechnologyNanjing, China
  • Science and Technology Office, Jiangsu Open UniversityNanjing, China
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Zou, Yu
, 
Zhigeng Pan

Zhigeng Pan

School of Aritificial Intelligence (School of Future Technology), Nanjing University of Information Science & TechnologyNanjing, China
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Pan, Zhigeng
, 
Xianchun Zhou

Xianchun Zhou

School of Aritificial Intelligence (School of Future Technology), Nanjing University of Information Science & TechnologyNanjing, China
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Zhou, Xianchun
 and 
Yixuan Wang

Yixuan Wang

College of Cultural Management, Communication University of China NanjingNanjing, China
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Wang, Yixuan
  
Oct 17, 2023
Human pose evaluation based on full-domain convolution and LSTM's Cover Image
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Published Online: Oct 17, 2023
Received: Dec 26, 2022
Accepted: Apr 27, 2023
DOI: https://doi.org/10.2478/amns.2023.2.00680
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© 2023 Yu Zou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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English
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Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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