Linemod-Occlusion

The 'Linemod-Occlusion' dataset is used to evaluate 6D pose estimation methods by providing a benchmark that includes various object instances with occlusions.

Papers using Linemod-Occlusion (6)

Templates For 3D Object Pose Estimation Revisited: Generalization To New Objects And Robustness To Occlusions2022 · 86 citesCullnet: Calibrated And Pose Aware Confidence Scores For Object Pose Estimation2019 · 3 citesPose Proposal Critic: Robust Pose Refinement By Learning Reprojection Errors2020 · 6 cites6dof Object Pose Estimation Via Differentiable Proxy Voting Loss2020 · 22 citesEnd-to-end Differentiable 6dof Object Pose Estimation With Local And Global Constraints2020 · 3 citesPvit-6d: Overclocking Vision Transformers For 6D Pose Estimation With Confidence-level Prediction And Pose Tokens2023 · 2 cites