6D Object Pose Estimation on T-LESS BOP challenge protocol PrimeSense (test)
91VSDOVE6D
Evaluation results
| Method | Links | |
|---|---|---|
| OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, Mask=GT, ICP=before selection2022.03 | 91 | |
| OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, Mask=GT, ICP=after selection2022.03 | 89 | |
| OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, Mask=GT, ICP=false2022.03 | 85.1 | |
| OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, Mask=Mask-RCNN, ICP=before selection2022.03 | 74.8 | |
| OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, Mask=Mask-RCNN, ICP=after selection2022.03 | 73.1 | |
| StablePoseGeneralization=Single Trained Object, Train Data=Real (+Syn.), Input=D, ICP=false2022.03 | 73 | |
| VidalPPFGeneralization=Universal Objects, Input=D, ICP=false2022.03 | 72 | |
| MP-EncoderGeneralization=Multi-Trained Objects, Train Data=Syn. Only, Input=RGBD, ICP=true2022.03 | 69.5 | |
| OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, Mask=Mask-RCNN, ICP=false2022.03 | 69.4 | |
| AAEGeneralization=Single Trained Object, Train Data=Syn. Only, Input=RGBD, ICP=true2022.03 | 68.6 | |
| CosyPoseGeneralization=Multi-Trained Objects, Train Data=Real (+Syn.), Input=RGB, ICP=false2022.03 | 63.8 | |
| DrostPPFGeneralization=Universal Objects, Input=D, ICP=false2022.03 | 57 | |
| PointNet++Generalization=Single Trained Object, Train Data=Real (+Syn.), Input=D, ICP=false2022.03 | 54 | |
| PPFNetGeneralization=Single Trained Object, Train Data=Real (+Syn.), Input=D, ICP=false2022.03 | 49 | |
| PVNetGeneralization=Single Trained Object, Train Data=Real (+Syn.), Input=RGB, ICP=false2022.03 | 40.4 | |
| Pix2PoseGeneralization=Single Trained Object, Train Data=Real (+Syn.), Input=RGB, ICP=false2022.03 | 29.5 | |
| Kehl-16Generalization=Multi-Trained Objects, Train Data=Real (+Syn.), Input=RGBD, ICP=true2022.03 | 24.6 | |
| MP-EncoderGeneralization=Multi-Trained Objects, Train Data=Syn. Only, Input=RGB, ICP=false2022.03 | 20.5 | |
| AAEGeneralization=Single Trained Object, Train Data=Syn. Only, Input=RGB, ICP=false2022.03 | 19.3 | |
| DenseFusionGeneralization=Multi-Trained Objects, Train Data=Real (+Syn.), Input=RGBD, ICP=false2022.03 | 10 |