2020
Mixture Dense Regression for Object Detection and Human Pose Estimation
CVPR 2020poster
Mixture models are well-established learning approaches that, in computer vision, have mostly been applied to inverse or ill-defined problems. However, they are general-purpose divide-and-conquer techniques, splitting the input space into relatively homogeneous subsets in a data-driven manner. Not o…