Self-Supervised Learning for Human Pose Estimation in Sports

Human pose estimation (HPE) is a commonly used technique to determine derived parameters that are important to improve the performance of athletes in many sports disciplines. This paper proposes two methods to fine-tune a HPE system trained on general poses to a sports discipline specific HPE model using only a few labeled images. We show that 50 labeled 2D poses and additionally unlabeled videos ...