Recognition Method with Deep Contrastive Learning and Improved Transformer for 3D Human Motion Pose
Abstract Three-dimensional (3D) human pose recognition techniques based on spatial data have gained attention. However, existing models and algorithms fail to achieve desired precision. We propose a 3D human motion pose recognition method using deep contrastive learning and an improved Transformer....
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2023-10-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44196-023-00351-1 |