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Sports Pose Estimation Based on LSTM and Attention ...
Springer
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由 C Zhang 著作2020被引用 3 次 — We propose a LSTM-Attention model. In spatial dimension, we use the two-branch multi-stage CNN to extract human joints as features.
Sports Pose Estimation Based on LSTM and Attention ...
ResearchGate
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ResearchGate
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To solve the problem, we propose a LSTM-Attention model. In spatial dimension, we use the two-branch multi-stage CNN to extract human joints as features, which ...
Sports Pose Estimation Based on LSTM and Attention ...
springerprofessional.de
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springerprofessional.de
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To solve the problem, we propose a LSTM-Attention model. In spatial dimension, we use the two-branch multi-stage CNN to extract human joints as features, which ...
Sports match prediction model for training and exercise ...
ScienceDirect.com
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ScienceDirect.com
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由 Q Zhang 著作2022被引用 44 次 — We combined the Long Short-Term Memory (LSTM) model with the attention mechanism and put forward an AS-LSTM model for predicting match results. Furthermore, to ...
Attention-based LSTM network for action recognition in sports
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由 M Ullah 著作2021被引用 52 次 — Ma et al. [36] exploited the human pose estimation model to find the position of human joints in the first stage and then used that information for ...
Enhancing human pose estimation in sports training
ScienceDirect.com
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由 X Xi 著作2024被引用 11 次 — This research advances 3D human pose estimation and offers a practical tool for sports training through precise, efficient pose analysis.
Analysis and System Construction of ALSTM-LSTM Model- ...
The Science and Information (SAI) Organization
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An ALSTM-LSTM model based on visual human posture estimation is proposed for motion system analysis. Joint pose features are fused through LSTM.
Attention-based LSTM Network for Action Recognition in ...
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This paper followed the standard deep learning framework for action recognition but introduced channel and spatial attention module sequentially in the ...
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Sports match prediction model for training and exercise ...
ResearchGate
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ResearchGate
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2024年12月9日 — We combined the long short-term memory (LSTM) model with the attention mechanism, and put forward an AS-LSTM model for predicting match results.
A Study of Starting Correction in Sports Based in Human ...
Informatica, An International Journal of Computing and Informatics
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Informatica, An International Journal of Computing and Informatics
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由 B Jiang 著作2024 — Therefore, the study is based on the Openpose human posture estimation and recognition algorithm, which performs frame-posture relationship correlation analysis ...
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