Mixture Dense Regression for Object Detection and Human Pose Estimation

CVPR 2020 Ali VarameshTinne Tuytelaars

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... (read more)

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