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3D Object Detection on SUN RGB-D v1 (val)

68.9mAP@0.25Ours (GroupFree3D)
31.4641.1850.960.62Apr 12, 2020Mar 21, 2021Feb 28, 2022Feb 7, 2023Jan 17, 2024Dec 26, 2024Dec 5, 2025

Evaluation results

MethodLinks
Ours (GroupFree3D)Pre-trained=Yes, Backbone=GroupFree3D2024.1068.9———————————52.1
Bridge3D (GroupFree3D)Pre-trained=Yes, Backbone=GroupFree3D2024.1067.9———————————48.5
IAELearning Paradigm=Self-supervised, Backbone=CAGroup3D2022.0167.6———————————51.3
IAEBase Architecture=CAGroup3D, Pre-training Setting=Self-supervised2025.1267.6———————————51.3
Uni3DETRModality=Point Clouds2023.1067———————————50.3
CAGroup3DLearning Paradigm=Supervised2022.0166.8———————————50.2
CAGroup3DPre-training Setting=Supervised2025.1266.8———————————50.2
PIMAE (GroupFree3D)Pre-trained=Yes, Backbone=GroupFree3D2024.1065———————————46.8
TokenFusionModality=Point Clouds + RGB2023.1064.9———————————48.3
FCAF3DLearning Paradigm=Supervised2022.0164.2———————————48.9
FCAF3DModality=Point Clouds2023.1064.2———————————48.9
FCAF3DPre-training Setting=Supervised2025.1264.2———————————48.9
RBGNetModality=Point Clouds2023.1064.1———————————47.2
Point-MAE (GroupFree3D)Pre-trained=Yes, Backbone=GroupFree3D2024.1063.9———————————46.1
HyperDet3DModality=Point Clouds2023.1063.5———————————47.3
Ours (3DETR)Pre-trained=Yes, Backbone=3DETR2024.1063.5———————————39.5
ImVoteNetModality=Point Clouds + RGB2023.1063.4————————————
GroupFreeLearning Paradigm=Supervised2022.0163———————————45.2
GroupFreeModality=Point Clouds2023.1063———————————45.2
GroupFree3DPre-trained=None2024.1063———————————45.2
GroupFreePre-training Setting=Supervised2025.1263———————————45.2
VENetModality=Point Clouds2023.1062.5———————————39.2
Plain Transformer (GroupFree3D)Pre-trained=None, Backbone=GroupFree3D2024.1062.2———————————45
Bridge3D (3DETR)Pre-trained=Yes, Backbone=3DETR2024.1061.8———————————37.1
DepthContrastPre-trained=Yes2024.1061.6———————————35.5
BRNetLearning Paradigm=Supervised2022.0161.1———————————43.7
BRNetModality=Point Clouds2023.1061.1———————————43.7
BRNetPre-training Setting=Supervised2025.1261.1———————————43.7
DepthContrastLearning Paradigm=Self-supervised, Backbone=VoteNet2022.0160.4———————————35.4
IAELearning Paradigm=Self-supervised, Backbone=VoteNet2022.0160.4———————————36
DepthContrastPre-training Setting=Self-supervised2025.1260.4———————————35.4
IAEBase Architecture=VoteNet, Pre-training Setting=Self-supervised2025.1260.4———————————36
DPCOPre-trained=Yes2024.1060.2———————————35.5
H3DNetRGB=false2020.0660.173.885.63176.729.633.465.566.550.888.2——
H3DNetInput=Geo only2020.0660.1———————————39
H3DNetModality=Point Clouds2023.1060.1———————————39
H3DNet2021.0960.1———————————39
PIMAE (3DETR)Pre-trained=Yes, Backbone=3DETR2024.1059.9———————————33.7
MLCVNetInput=Geo only2020.0459.879.285.831.975.826.531.361.566.350.489.1——
MLCVNetLearning Paradigm=Supervised2022.0159.8————————————
MLCVNetPre-training Setting=Supervised2025.1259.8————————————
RandomRoomsLearning Paradigm=Self-supervised2022.0159.2———————————35.4
RandomRoomsPre-training Setting=Self-supervised2025.1259.2———————————35.4
3DETRLearning Paradigm=Supervised2022.0159.1———————————32.7
3DETRModality=Point Clouds2023.1059.1———————————32.7
3DETRPre-training Setting=Supervised2025.1259.1———————————32.7
3DETR-mencoder=masked Transformer encoder2021.0959.1———————————32.7
H3DNet w/o refineRGB=false2020.0658.574.186.431.376.127.126.357.964.951.689.3——
H3DNet (w/o refine)Input=Geo only2020.0658.5———————————34.2
VoteNetimplementation=improved2021.0958.3———————————33.4
STRLLearning Paradigm=Self-supervised2022.0158.2———————————35
STRLPre-training Setting=Self-supervised2025.1258.2———————————35
3DETRPre-trained=None2024.1058———————————30.3
3DETR2021.0958———————————30.3
VoteNetInput=Geo-only2020.0457.774.48328.875.32229.862.26447.390.1——
VoteNetRGB=false2020.0657.774.78328.875.32229.862.26447.390.1——
VoteNetInput=Geo only2020.0657.7———————————32.9
VoteNetLearning Paradigm=Supervised2022.0157.7———————————32.9
VoteNetModality=Point Clouds2023.1057.7———————————35.7
VoteNetPre-trained=None2024.1057.7———————————32.9
VoteNetPre-training Setting=Supervised2025.1257.7———————————32.9
Plain Transformer (3DETR)Pre-trained=None, Backbone=3DETR2024.1057.6———————————31.9
PointContrastLearning Paradigm=Self-supervised2022.0157.5———————————34.8
PointContrastPre-trained=Yes2024.1057.5———————————34.5
PointContrastPre-training Setting=Self-supervised2025.1257.5———————————34.8
F-PointNetInput=Geo+RGB2020.045443.381.133.364.224.73258.161.151.190.9——
F-PointNetRGB=true2020.065443.381.133.364.224.73258.161.151.190.9——
F-PointNetInput=Geo + RGB2020.0654————————————
BoxNetimplementation=improved2021.0952.4———————————25.1
COGInput=Geo+RGB2020.0447.658.363.731.862.245.215.527.45151.370.1——
COGRGB=true2020.0647.658.363.731.862.245.215.527.45151.370.1——
COGInput=Geo + RGB2020.0647.6————————————
2D-drivenInput=Geo+RGB2020.0445.143.564.531.448.327.925.941.950.43780.4——
2D-drivenRGB=true2020.0645.143.564.531.448.327.925.941.950.43780.4——
2D-drivenInput=Geo + RGB2020.0645.1————————————
DSSInput=Geo+RGB2020.0442.144.278.811.961.220.56.415.453.550.378.9——
DSSRGB=true2020.0642.144.278.811.961.220.56.415.453.550.378.9——
DSSInput=Geo + RGB2020.0642.1————————————
H3DNetRGB=false, Refinement=true2020.063947.652.98.660.18.420.645.650.427.169.1——
H3DNetRGB=false, Refinement=false2020.0634.248.950.6555.66.314.632.745.123.360.1——
VoteNetRGB=false2020.0632.949.947.34.654.15.213.63541.419.758.6——
2D-drivenRGB=true, room layout context=true2020.01—43.564.531.448.327.925.941.950.43780.445.1—
4DContrastPre-trained=Yes2024.10————————————38.2
COGRGB=true, room layout context=true2020.01—58.363.731.862.245.215.527.45151.370.147.6—
DSSRGB=true2020.01—44.278.811.961.220.56.415.453.550.378.942.1—
F-PointNetRGB=true2020.01—43.381.133.364.224.73258.161.151.190.954—
Hou et al.Pre-trained=Yes2024.10————————————36.4
IMVOTENETRGB=true2020.01—75.987.641.376.728.741.469.970.751.190.563.4—
PointFusionRGB=true2020.01—37.368.637.755.117.223.932.353.83183.845.4—
VOTENETRGB=false2020.01—74.48328.875.32229.862.26447.390.157.7—
VOTENET +region featureRGB=true, mode=concatenate region-level one-hot class confidence2020.01—71.786.13474.72634.264.366.549.788.459.6—
VOTENET +RGBRGB=true, mode=append RGB values to point features2020.01—7082.827.673.123.227.260.763.74886.956.3—