2022
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
CVPR 2022poster
Monocular 6D pose estimation is a fundamental task in computer vision. Existing works often adopt a twostage pipeline by establishing correspondences and utilizing a RANSAC algorithm to calculate 6 degrees-of-freedom (6DoF) pose. Recent works try to integrate differentiable RANSAC algorithms to achi…