Occluded LINEMOD

The 'Occluded LINEMOD' dataset is a benchmark that contains images of objects in various poses and occlusions, used to evaluate the performance of algorithms in six-degree-of-freedom (6-DOF) object pose estimation.

Papers using Occluded LINEMOD (2)

BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation2025A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation2025