Estimating Human Poses Across Datasets: A Unified Skeleton and
Multi-Teacher Distillation Approach
Estimating Human Poses Across Datasets: A Unified Skeleton and
Multi-Teacher Distillation Approach
Human pose estimation is a key task in computer vision with various applications such as activity recognition and interactive systems. However, the lack of consistency in the annotated skeletons across different datasets poses challenges in developing universally applicable models. To address this challenge, we propose a novel approach integrating multi-teacher …