Importance relation guided spatio-temporal adaptive modeling framework for irregular 2D human pose estimation
An Importance Relation Guided Spatio-Temporal Adaptive Modeling framework is proposed and a self-built Irregular Motion Dataset mainly composed of high-intensity sports activities is introduced, providing a focused experimental benchmark for evaluating pose estimation methods under high-intensity irregular motions.