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6D Pose and Size Estimation on REAL275

0.6365°5cmSecondPose
0.030720.187860.3450.50214Oct 3, 2022Apr 15, 2023Oct 26, 2023May 7, 2024Nov 17, 2024May 30, 2025Dec 11, 2025

Evaluation results

MethodLinks
SecondPosePriors=Semantic Priors2023.110.636—0.4970.5620.7470.86
SecondPoseApproach=Semantic prior based2025.120.6360.8380.7770.5620.7470.86
THE-PoseApproach=Topological prior + 3D-GC2025.120.6310.8340.7960.5670.790.874
AG-PoseApproach=Keypoint based2025.120.6170.8370.7950.5470.7470.831
VI-NetMean Shape Priors=false2023.110.576—0.4830.50.7080.821
HS-PoseApproach=3D-GC based2025.120.5610.8280.7530.4620.6890.841
HS-PoseMean Shape Priors=false2023.110.552——0.4650.6860.827
gCaspTraining Data=D(S), Canonical Model=Generate, Learnable Parameters(M)=2.32022.100.5470.790.6530.4690.6420.763
SPD + CATREMean Shape Priors=true2023.110.544—0.4360.4580.6140.731
IST-NetMean Shape Priors=false2023.110.534——0.4750.7210.805
DPDNMean Shape Priors=true2023.110.507——0.460.7040.784
DPDNApproach=Shape prior based2025.120.5070.8340.760.460.7040.784
RBP-PoseMean Shape Priors=true2023.110.481——0.3820.6310.792
RBP-PoseApproach=Shape prior based2025.120.481—0.6780.3820.6310.792
Self-DPDNSource Supervised=2D/3D, Target Unsupervised=2D/3D, Online=false, Supervision Setting=Source (Supervised) & Target (Unsupervised)2023.030.467——0.390.6180.734
Self-DPDNSource Supervised=2D/3D, Target Supervised=2D, Target Unsupervised=3D, Online=false, Supervision Setting=Source (Supervised) & Target (Semi-Supervised)2023.030.45——0.3950.6330.722
SSP-PoseMean Shape Priors=true2023.110.446——0.347—0.778
SSP-PoseApproach=Shape prior based2025.120.4460.8230.6630.347—0.778
SS-ConvNetMean Shape Priors=false2023.110.434——0.3660.5260.635
GPV-PoseMean Shape Priors=false2023.110.429——0.32—0.733
GPV-PoseApproach=3D-GC based2025.120.4290.830.6440.320.550.733
SAR-NetTraining Data=D(S), Canonical Model=Deform, Learnable Parameters(M)=6.32022.100.4230.7930.6240.3160.5030.683
SAR-NetMean Shape Priors=true2023.110.423——0.3160.5030.683
SAR-NetApproach=Shape prior based2025.120.4230.7930.6240.3160.5040.683
SGPATraining Data=RGBD(S+R), Canonical Model=Deform, Learnable Parameters(M)=23.32022.100.3960.8010.6190.3590.6130.707
SGPASource Supervised=2D/3D, Target Supervised=2D/3D, Supervision Setting=Source (Supervised) & Target (Supervised)2023.030.396——0.3590.6130.707
SGPAMean Shape Priors=true2023.110.396—0.3710.3590.6130.707
SGPAApproach=Shape prior based2025.120.3960.8010.6190.3590.6130.707
TTA-COPESource Supervised=2D/3D, Target Supervised=2D, Target Unsupervised=3D, Online=true, Supervision Setting=Source (Supervised) & Target (Semi-Supervised)2023.030.381——0.3330.6430.751
ACR-PoseMean Shape Priors=true2023.110.369——0.3160.5480.659
DualPoseNetSource Supervised=2D/3D, Target Supervised=2D/3D, Supervision Setting=Source (Supervised) & Target (Supervised)2023.030.359——0.2930.50.668
TTA-COPESource Supervised=2D/3D, Target Unsupervised=2D/3D, Online=true, Supervision Setting=Source (Supervised) & Target (Unsupervised)2023.030.359——0.3020.6170.732
DualPoseNetMean Shape Priors=false2023.110.359—0.3080.2930.50.668
UDA-COPESource Supervised=2D/3D, Target Supervised=2D, Target Unsupervised=3D, Online=false, Supervision Setting=Source (Supervised) & Target (Semi-Supervised)2023.030.349——0.3050.570.661
CR-NetSource Supervised=2D/3D, Target Supervised=2D/3D, Supervision Setting=Source (Supervised) & Target (Supervised)2023.030.343——0.2780.4720.608
CR-NetMean Shape Priors=true2023.110.343—0.3320.2780.4720.608
CR-NetApproach=Shape prior based2025.120.3430.7930.5590.2780.4720.608
RePoNetSource Supervised=2D/3D, Target Supervised=2D, Target Unsupervised=3D, Online=false, Supervision Setting=Source (Supervised) & Target (Semi-Supervised)2023.030.339——0.307—0.63
FS-NetApproach=3D-GC based2025.120.3390.8110.6350.199—0.691
FS-NetMean Shape Priors=false2023.110.282————0.608
iCapsTraining Data=D(S), Canonical Model=Generate, Learnable Parameters(M)=80.92022.100.223—————
SPDSource Supervised=2D/3D, Target Supervised=2D/3D, Supervision Setting=Source (Supervised) & Target (Supervised)2023.030.216——0.1950.4350.54
SPDTraining Data=RGBD(S+R), Canonical Model=Deform, Learnable Parameters(M)=18.32022.100.2140.7730.5320.1930.4320.541
SPDMean Shape Priors=true2023.110.214—0.270.1930.4320.541
SPDApproach=Shape prior based2025.120.2140.7730.5320.1930.4320.541
SSC-6DSource Supervised=2D/3D, Target Supervised=2D, Target Unsupervised=3D, Online=false, Supervision Setting=Source (Supervised) & Target (Semi-Supervised)2023.030.196——0.1680.4410.545
SPDSource Supervised=2D/3D, Supervision Setting=Source (Supervised)2023.030.121——0.1150.330.379
NOCSTraining Data=RGB(S+R), Canonical Model=Regress2022.100.10.780.3010.0720.1380.252
NOCSSource Supervised=2D/3D, Target Supervised=2D/3D, Supervision Setting=Source (Supervised) & Target (Supervised)2023.030.1——0.0720.1380.252
Metric ScaleSource Supervised=2D/3D, Supervision Setting=Source (Supervised)2023.030.054——0.0220.1010.25
CenterSnap-RMean Shape Priors=true2023.11———0.291—0.643