PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation

Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki +2

We propose a new 2D pose refinement network that learns to predict the human bias in the estimated 2D pose. There are biases in 2D pose estimations that are due to differences betw…