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6D Object Pose Estimation on LINEMOD

100Cam AccuracyFoundationPose
-3.573623.315750.20577.0943Nov 24, 2017Apr 19, 2019Sep 12, 2020Feb 6, 2022Jul 3, 2023Nov 26, 2024Apr 22, 2026

Evaluation results

MethodLinks
FoundationPoseModality=RGBD, Finetune-free=true, Ref. images=162023.1210099.999—10010010099.410010099.9100100100————————100
MAPRPoseYear=2026, Modality=RGBD2026.0410099.898.610010010010098.910010010010010099.9—————————
Geo6DYear=2025, Modality=RGBD2026.0499.699.698.310099.910099.897.410010099.710099.999.8—————————
RePOSEInit. pose=PVNet2022.0399.296.0579.510099.898.997.980.310098.396.910010099.1—————————
OA-PoseYear=2024, Modality=RGB2026.0499.298.596.610010010098.495.297.110010096.498.698.4—————————
GS-PoseYear=2025, Modality=RGBD2026.0499.197.397.998.997.698.993.797.897.197.498.899.694.293.8—————————
EfficientPosephi=32020.1198.5397.3589.4399.7199.796.2199.589.210010095.7299.0810098.46—————————
RNNPoseInit. pose=PVNet2022.0398.4397.1585.6210099.5198.6896.4189.6710097.397.15100100100—————————
RNNPoseInit. pose=PoseCNN2022.0398.0497.4388.1910099.3198.3996.4189.399.5399.7197.43100100100—————————
ONDA-PoseYear=2025, Modality=RGB2026.049893.28399.999.596.499.476.596.387.183.499.698.993.4—————————
EfficientPosephi=02020.1197.9497.3587.7199.7198.529899.990.9910010095.1599.6910097.98—————————
DPOD+refinement=true2020.1196.0795.1587.7398.4599.7194.7198.886.2999.9196.8286.8710096.8494.69—————————
DPODInit. pose=self-designed2022.0396.0795.1587.7398.4599.7194.7198.886.2999.9196.8286.8710096.8494.69—————————
DeepIMInit. pose=PoseCNN2022.0393.5388.6176.9597.4896.4682.1494.9577.6597.0999.4252.8198.2697.587.72—————————
Single Shot 6DRefinement=false2017.1193.2490.3792.195.0697.4497.4179.4194.6590.3396.5392.8682.9476.8786.07—————————
CDPN2020.1191.6789.8664.3897.7795.8783.8396.2366.7699.7299.6185.8297.8597.8990.75—————————
FS6D + ICPModality=RGBD, Finetune-free=false, Ref. images=162023.129191.578—89.597.59275.599.599.59687.59797.5————————88.5
FS6D + ICPModality=RGBD, Ref. Images=162025.059191.57888.589.597.59275.599.599.59687.59797.5—————————
Hybrid-Pose2020.1190.491.363.199.998.589.498.56510098.889.710099.594.9—————————
HybridPose2022.0390.491.363.199.998.589.498.56510098.889.710099.594.9—————————
DPOD2020.1190.3682.9853.2895.3494.160.3897.7266.0199.7293.8365.8399.888.1174.24—————————
FS6DModality=RGBD, Finetune-free=false, Ref. images=162023.1288.588.974—8698.58168.510099.59792.58599————————86
FS6DYear=2022, Modality=RGBD2026.0488.588.974868698.58168.510099.59792.58599—————————
OnePoseModality=RGB, Finetune-free=true, Ref. images=2002023.1288.163.611.8—77.247.974.534.271.337.554.989.287.660.6————————92.6
OnePoseModality=RGB, Ref. Images=2002025.0588.163.611.892.677.247.974.534.271.337.554.989.287.660.6—————————
OnePoseYear=2022, Modality=RGB2026.0488.163.611.892.677.247.974.534.271.337.554.989.287.660.6—————————
OnePose++Modality=RGB, Finetune-free=true, Ref. images=2002023.128876.931.2—89.870.492.542.399.74869.797.497.876————————97.3
OnePose++Modality=RGB, Ref. Images=2002025.058876.931.297.389.870.492.542.399.74869.797.497.876—————————
OnePose++Year=2023, Modality=RGB2026.048876.931.297.389.870.492.542.399.74869.797.497.876—————————
PVNetRefinement=w/o2018.1286.8686.2743.6299.995.4779.3496.4352.5899.1595.6681.9298.8899.3392.41—————————
PVNet2020.1186.8686.2743.6299.995.4779.3496.4352.5899.1595.6681.9298.8899.3392.41—————————
PVNet2022.0386.8686.2743.6299.995.4779.3496.4352.5899.1595.6681.9298.8899.3392.41—————————
BB8Refinement=true2017.118689.396.690.191.298.880.992.29192.395.384.875.885.3—————————
FoundationPoseModality=RGBD, Ref. Images=1-CAD2025.0584.248.336.555.571.765.316.349.842.664.852.720.715.851.7—————————
BB8Refinement=false2017.1180.983.995.38084.19774.181.287.98990.578.974.477.6—————————
SSD-6DRefinement=true2017.11787965808670736610010049787379—————————
SSD-6DRefinement=w/2018.12787965808670736610010049787379—————————
LatentFusionModality=RGBD, Finetune-free=true, Ref. images=162023.1274.487.188—88.894.591.768.196.394.982.174.694.791.5————————92.4
LatentFusionModality=RGBD, Ref. Images=162025.0574.483.68892.488.894.591.768.196.349.482.174.694.791.5—————————
LatentFusionYear=2020, Modality=RGBD2026.0474.487.18892.488.894.591.768.196.394.982.174.694.791.5—————————
One2AnyModality=RGBD, Ref. Images=12025.0572.752.633.115.73766.268.235.810099.94228.231.953.2—————————
RePOSEInit. pose=PoseCNN2022.036777.1547.488.58874.380.666.198.695.662.780.383.171.3—————————
Pix2Pose2020.1160.972.458.19184.46576.343.896.879.474.883.48245—————————
Gen6DModality=RGB, Finetune-free=false, Ref. images=2002023.1260.7—77———67.440.595.787.2————————————66.1
BrachmannRefinement=true2017.1158.773.785.267.970.884.273.973.183.174.278.983.66460.6—————————
BB8Refinement=true2017.1155.762.740.491.864.162.674.444.357.841.267.284.776.554—————————
BB8Refinement=w/2018.1255.762.740.491.864.162.674.444.357.841.267.284.776.554—————————
PoseCNN2022.0347.2563.2625.6277.1169.9856.0964.9241.7898.594.9852.2470.1770.7353.07—————————
Gen6DYear=2022, Modality=RGB2026.0445.6——62.1—40.948.816.2———————————————
Gen6D*Modality=RGB, Finetune-free=true, Ref. images=2002023.1240.9—62.1—48.816.2————————————————45.6
BB8Refinement=false2017.1140.143.627.96248.145.258.632.8402742.46739.935.2—————————
BrachmannRefinement=true2017.1138.450.233.264.862.942.761.930.249.931.252.8806738.1—————————
Single Shot 6DRefinement=false2017.1136.5755.9521.6281.868.841.8263.5127.2369.5880.0242.6374.9771.1147.74—————————
TekinRefinement=w/o2018.1236.5755.9521.6281.868.841.8263.5127.2369.5880.0242.6374.9771.1147.74—————————
YOLO6D2020.1136.5755.9521.6281.868.841.8263.5127.2369.5880.0242.6374.9771.1147.74—————————
BB8Refinement=w/o2018.1210.143.627.96248.145.258.632.8402742.46739.935.2—————————
OryonModality=RGBD, Ref. Images=12025.053.99.81.21.30.812.78.50.863.218.41.60.62.911.7—————————
NOPEModality=RGB, Ref. Images=1 + GT trans2025.052.516.324.52.20.74.70.510079.42.94.54.23.9—————————
SSD-6DRefinement=false2017.110.412.4200.181.350.512.5808.900.38.868.20.18—————————
SSD-6DRefinement=w/o2018.120.412.4200.181.350.512.5808.900.38.868.20.18—————————
AAEGeneralization=Single Trained Object, Train Data=Syn. Only, Input=RGBD, ICP=true2022.03—————————————————71.6—————
BrachmannRefinement=false2017.11—69.5—————————————————————
BrachmannRefinement=false2017.11—32.3—————————————————————
CDPNInput=RGB, Speed(FPS)=332021.03——————————————89.9————————
CloudAAEGeneralization=Multi-Trained Objects, Train Data=Real (+Syn.), Input=D, ICP=false, Mask Source=Ground Truth2022.03—————————————————86.8—————
CloudAAEGeneralization=Multi-Trained Objects, Train Data=Real (+Syn.), Input=D, ICP=true, Mask Source=Ground Truth2022.03—————————————————95.5—————
CloudAAEGeneralization=Multi-Trained Objects, Train Data=Syn. Only, Input=D, ICP=false, Mask Source=Ground Truth2022.03—————————————————82.1—————
CloudAAEGeneralization=Multi-Trained Objects, Train Data=Syn. Only, Input=D, ICP=true, Mask Source=Ground Truth2022.03—————————————————92.5—————
CloudPoseGeneralization=Multi-Trained Objects, Train Data=Syn. Only, Input=D, ICP=true, Mask Source=Ground Truth2022.03—————————————————75.2—————
DCP2023.10——————————————————6221127—
DeepIMInitialization=PoseCNN [6]2020.05——————————————88.3397.5385.21——————
DensefusionInput=RGBD, Speed(FPS)=162021.03——————————————94.3————————
DenseFusionGeneralization=Multi-Trained Objects, Train Data=Real (+Syn.), Input=RGBD, ICP=false2022.03—————————————————94.3—————
Diff-DCP2023.10——————————————————22516582—
Diff-RPMNet2023.10——————————————————18475172—
DPODInput=RGB, Speed(FPS)=332021.03——————————————95.2————————
FFB6DGeneralization=Single Trained Object, Train Data=Real (+Syn.), Input=RGBD, ICP=false2022.03—————————————————99.7—————
FGR2023.10——————————————————00531—
FMR2023.10——————————————————01717—
FS-NetInput=RGBD, Speed(FPS)=202021.03——————————————97.6————————
G2L-NetInput=RGBD, Speed(FPS)=232021.03——————————————98.7————————
G2LNetGeneralization=Single Trained Object, Train Data=Real (+Syn.), Input=RGBD, ICP=false2022.03—————————————————98.7—————
ICP2023.10——————————————————01427—
IDAM2023.10——————————————————01316—
LatentFusionGeneralization=Universal Objects, Train Data=Syn. Only, Input=RGBD, ICP=false, Mask Source=Ground Truth2022.03—————————————————87.1—————
MN-DCP2023.10——————————————————10272660—
MN-IDAM2023.10——————————————————171338—
OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, ICP=false, Mask Source=Ground Truth2022.03—————————————————96.4—————
OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, ICP=true, Mask Source=Ground Truth2022.03—————————————————98.3—————
OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, ICP=true, Mask Source=Ground Truth, ICP Refinement Mode=Before selection for all pose proposals2022.03—————————————————98.7—————
OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, ICP=false, Mask Source=Mask-RCNN2022.03—————————————————86.1—————
OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, ICP=true, Mask Source=Mask-RCNN2022.03—————————————————91.4—————
OVE6DGeneralization=Universal Objects, Train Data=Syn. Only, Input=D, ICP=true, Mask Source=Mask-RCNN, ICP Refinement Mode=Before selection for all pose proposals2022.03—————————————————92.4—————
PoseCNNRefinement=None2020.05——————————————62.0464.5218.14——————
PPCInitialization=PoseCNN [6]2020.05——————————————88.6797.689.74——————
PR-GCNGeneralization=Multi-Trained Objects, Train Data=Real (+Syn.), Input=RGBD, ICP=false2022.03—————————————————99.6—————
PVN3DInput=RGBD, Speed(FPS)=52021.03——————————————99.4————————
PVN3DGeneralization=Single Trained Object, Train Data=Real (+Syn.), Input=RGBD, ICP=false2022.03—————————————————99.4—————
PVNetInput=RGB, Speed(FPS)=252021.03——————————————86.3————————
RGM2023.10——————————————————00715—