Hsa-dmt: hierarchical structure-aware embedding and dual-mode temporal modeling for challenging 3D human pose estimation

Key Points

• Improved accuracy in 3D human pose estimation was achieved using hierarchical structure-aware embedding.
• The model leverages dual-mode temporal modeling, optimizing pose assessments over time frames.
• Assessment includes complex motion scenarios, demonstrating its efficacy in dynamic environments.
• Findings indicate significant advantages in embedding techniques for robust human pose modeling.