Fig. 4
From: Deep learning-based approaches for human pose estimation in interdisciplinary physics applications

Pipeline of Constraint-Driven Refinement. The figure shows how class-specific embeddings guide the refinement steps. Spatial, temporal, and domain-specific modules apply corrections to predicted keypoints through a unified iterative framework, ensuring plausible and consistent pose estimation.