Adaptive Keypoint Learning for Robust Category-Level 6D Object Pose Estimation

The proposed AG-Pose method can adaptively detect a set of sparse keypoints to represent the geometric structures of different object instances, and efficiently integrate local and global geometric information into keypoint features to establish robust keypoint-level correspondences for accurate 6D pose estimation of unseen instances.