Human pose evaluation based on full-domain convolution and LSTM
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17. Okt. 2023
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Online veröffentlicht: 17. Okt. 2023
Eingereicht: 26. Dez. 2022
Akzeptiert: 27. Apr. 2023
DOI: https://doi.org/10.2478/amns.2023.2.00680
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© 2023 Yu Zou et al., published by Sciendo
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Zou, Yu
School of Aritificial Intelligence (School of Future Technology), Nanjing University of Information Science & TechnologyNanjing, China
Science and Technology Office, Jiangsu Open UniversityNanjing, China
Pan, Zhigeng
School of Aritificial Intelligence (School of Future Technology), Nanjing University of Information Science & TechnologyNanjing, China
Zhou, Xianchun
School of Aritificial Intelligence (School of Future Technology), Nanjing University of Information Science & TechnologyNanjing, China
Wang, Yixuan
College of Cultural Management, Communication University of China NanjingNanjing, China