RNNPose (Trained with synthetic data and LINEMOD training set, w/o pbr data)

Reported on 3 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision1 result

Pose EstimationonOcclusion LineMOD
Mean ADD· 2022-03-24
60.65
best: 62.3 (SO-Pose)
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization arXiv:2203.12870

Methodology1 result

3DonOcclusion LineMOD
Mean ADD· 2022-03-24
60.65
best: 62.3 (SO-Pose)
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization arXiv:2203.12870

Audio1 result

1 Image, 2*2 StitchionOcclusion LineMOD
Mean ADD· 2022-03-24
60.65
best: 62.3 (SO-Pose)
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization arXiv:2203.12870