LINEMOD

LINEMOD is a benchmark dataset used to evaluate six-degree-of-freedom (6-DOF) object pose estimation algorithms, containing various objects in different poses and occlusions.

Papers using LINEMOD (4)

Structure-Aware Correspondence Learning for Relative Pose Estimation2025A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation2025Object 6D Pose Estimation with Non-local Attention2020 · 2 citesOne-Shot General Object Localization2022