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3D Object Detection on SUN RGB-D (mAP@0.25/0.5)

67.9mAP@0.25GroupFree3D + Bridge3D
46.78852.26957.7563.231Sep 16, 2021Jun 29, 2022Apr 12, 2023Jan 23, 2024Nov 5, 2024Aug 18, 2025Jun 1, 2026

Evaluation results

MethodLinks
GroupFree3D + Bridge3DPre-trained=true2023.0567.948.5
IAEBackbone=CAGroup3D2025.1267.651.3
MVNetDetection Architecture=CAGroup3D2025.1267.651.7
MaskFeat3DBackbone=CAGroup3D2025.1267.251
ConDaFormerbaseline=CAGroup3D2023.1267.149.9
CAGroup3D2023.1266.850.2
CAGroup3D2025.1266.850.2
GroupFree3D + PIMAEPre-trained=true2023.056546.8
OneDet3DTraining setup=multi-dataset training2024.116551.3
ConDaFormerbaseline=FCAF3D2023.1264.948.8
PillarDETR2026.0664.846.5
GroupFree 6,256BackBone=X-3D, #Param=12.30, GFLOPS=7.12024.0464.546.9
GroupFree 6,256BackBone=RepSurf-U, #Param=11.50, GFLOPS=6.82024.0464.345.9
FCAF3D2021.1264.248.9
FCAF3D2023.1264.248.9
FCAF3D2025.1264.248.9
GroupFree3D + Point-MAEPre-trained=true2023.0563.946.1
FCAF3DTraining setup=single-dataset training2024.1163.848.2
ImVoteNetBackBone=PointNet++2024.0463.4—
OneDet3DTraining setup=single-dataset training2024.1163.248.7
GroupFreePresented at=ICCV'212021.126345.2
GroupFree3DPre-trained=false2023.056345.2
GroupFree2023.126345.2
GroupFree 6,256BackBone=PointNet++, #Param=11.49, GFLOPS=6.72024.046345.2
GroupFree2025.126345.2
GroupFreeTraining setup=single-dataset training2024.116345.2
GroupFree3D2026.066345.2
VENetPresented at=ICCV'212021.1262.539.2
VENet2023.1262.539.2
GroupFree3D + Bridge3D (from scratch)Pre-trained=false2023.0562.245
MVNetDetection Architecture=VoteNet2025.126239.6
3DETR + Bridge3DPre-trained=true2023.0561.835.9
RDFC-GANBase Detector=H3DNet2023.0661.7540.63
HGNetPresented at=CVPR 202021.1261.6—
DepthContrastPre-trained=true2023.0561.635.5
HGNet2023.1261.6—
HGNetArch.=VoteNet + GraphConv2021.0961.634.4
BRNetPresented at=CVPR'212021.1261.143.7
BRNet2023.1261.143.7
BRNetBackBone=PointNet++2024.0461.143.7
BRNet2025.1261.143.7
RDF-GANBase Detector=H3DNet2023.0661.0339.71
RDFC-GANBase Detector=VoteNet2023.0661.0237.47
MaskFeat3DBackbone=VoteNet2025.126136.5
RDF-GANBase Detector=VoteNet2023.0660.6437.28
MM-3DScene + VoteNetPre-training Strategy=MM-3DScene, Backbone/Detector=VoteNet2022.1260.637.3
MM-3DSceneDetection Architecture=VoteNet2025.1260.637.3
GTBase Detector=H3DNet2023.0660.5139.22
DepthContrast2025.1260.435.4
IAEBackbone=VoteNet2025.1260.436
DepthContrastDetection Architecture=VoteNet2025.1260.435.4
DepthContrastBackbone=VoteNet2025.1260.435.4
DeepLidarBase Detector=H3DNet2023.0660.3539.16
DPCoPre-trained=true2023.0560.235.5
H3DNetBase Detector=H3DNet2023.0660.1139.04
H3DNetPresented at=ECCV'202021.1260.139
H3DNet2023.1260.139
H3DNetBackBone=4x PointNet++2024.0460.139
H3DNetArch.=VoteNet + 3D primitives2021.0960.139
H3DNetTraining setup=single-dataset training2024.1160.139
3DETR + PIMAEPre-trained=true2023.0559.933.7
MLCVNetPresented at=CVPR 202021.1259.8—
MLCVNet2023.1259.8—
MLCVNet2025.1259.8—
DeepLidarBase Detector=VoteNet2023.0659.7335.49
GTBase Detector=VoteNet2023.0659.4436.3
RandomRooms + VoteNetPre-training Strategy=RandomRooms, Backbone/Detector=VoteNet2022.1259.235.4
RandomRooms2025.1259.235.4
RandomRoomsDetection Architecture=VoteNet2025.1259.235.4
RandomRoomsBackbone=VoteNet2025.1259.235.4
3DETRPresented at=ICCV'212021.1259.132.7
3DETR2023.1259.132.7
VoteNetBackBone=PointNet++2024.0459.135.8
3DETRBackBone=Transformer2024.0459.132.7
3DETR2025.1259.132.7
VoteNetBase Detector=VoteNet2023.0659.0735.77
3DETR-mArch.=Tx.2021.095932.7
VoteNetArch.=VoteNet2021.0958.333.4
STRL2025.1258.235
STRLDetection Architecture=VoteNet2025.1258.235
STRLBackbone=VoteNet2025.1258.235
3DETRPre-trained=false2023.055830.3
VoteNetPresented at=ICCV'192021.1257.7—
VoteNetPre-training Strategy=from scratch, Backbone/Detector=VoteNet2022.1257.732.9
VoteNetPre-trained=false2023.0557.732.9
VoteNet2023.1257.7—
VoteNet2025.1257.732.9
VoteNetTraining setup=single-dataset training2024.1157.735.7
VoteNet2026.0657.732.9
3DETR + Bridge3D (from scratch)Pre-trained=false2023.0557.631.9
PointContrast + VoteNetPre-training Strategy=PointContrast, Backbone/Detector=VoteNet2022.1257.534.8
PointContrastPre-trained=true2023.0557.534.5
PointContrast2025.1257.534.8
PointContrastDetection Architecture=VoteNet2025.1257.534.8
PointContrastBackbone=VoteNet2025.1257.534.8
3DETRArch.=Tx.2021.0956.830.1
UVTRTraining setup=single-dataset training2024.115533.2
F-PointNetBackbone=F-PointNet2022.1254—
BoxNetArch.=BoxNet2021.0952.425.1
COGBackbone=COG2022.1247.6—