6D Object Pose Estimation on YCB-V BOP19 challenge (test)
0.008ADD-S MeanCRISP-Syn+Picasso
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CRISP-Syn+PicassoTraining Data=Synthetic, Refinement Strategy=Picasso2026.02 | 0.008 | 0.003 | 0.52 | 0.69 | 0.77 | |
| CRISP-Real+PicassoTraining Data=Real, Refinement Strategy=Picasso2026.02 | 0.008 | 0.003 | 0.53 | 0.7 | 0.78 | |
| CRISP-RealTraining Data=Real, Refinement Strategy=None2026.02 | 0.009 | 0.004 | 0.44 | 0.58 | 0.75 | |
| CosyPoseRefinement Strategy=None2026.02 | 0.01 | 0.007 | 0.3 | 0.56 | 0.68 | |
| CRISP-Syn+ICPTraining Data=Synthetic, Refinement Strategy=ICP2026.02 | 0.012 | 0.003 | 0.44 | 0.58 | 0.67 | |
| GDRNet++Refinement Strategy=None2026.02 | 0.013 | 0.011 | 0.22 | 0.43 | 0.58 | |
| BundleSDFRefinement Strategy=None2026.02 | 0.014 | 0.012 | 0.14 | 0.37 | 0.55 | |
| CRISP-SynTraining Data=Synthetic, Refinement Strategy=None2026.02 | 0.015 | 0.01 | 0.21 | 0.41 | 0.55 | |
| CRISP-Syn+GDTraining Data=Synthetic, Refinement Strategy=Gradient Descent (GD)2026.02 | 0.015 | 0.011 | 0.21 | 0.41 | 0.55 |