Fig. 3
From: Deep learning-based approaches for human pose estimation in interdisciplinary physics applications
Illustration of the Adaptive Pose Refinement Strategy (APRS) framework, integrating iterative refinement of pose predictions using Hierarchical Spatio-Temporal Pose Network (HSTPN) outputs. Key components include self-attention modules, spatial and temporal loss functions, and domain-specific constraints to enhance pose estimation accuracy, smoothness, and realism.
