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3D Object Detection on SUN RGB-D (test)

67.4mAP@0.25DeMF (FCAF3D based)
-2.5077615.6413733.790551.93963Apr 1, 2021Sep 1, 2021Feb 2, 2022Jul 5, 2022Dec 6, 2022May 8, 2023Oct 9, 2023

Evaluation results

MethodLinks
DeMF (FCAF3D based)Point Backbone=HDResNet34, Input=PC+RGB2022.0767.4———————————51.2———————————————
EPNet++Point Backbone=PointNet++, Input=PC+RGB2022.0765.3———————————————————————————
TokenFusion (L6, O256; S)Backbone=PointNet++, Inputs=Points+RGB2022.0464.9———————————48.3———————————————
EPNetPoint Backbone=PointNet++, Input=PC+RGB2022.0764.6———————————————————————————
TokenFusion (L6, O256; Ti)Backbone=PointNet++, Inputs=Points+RGB2022.0464.5———————————47.8———————————————
ImVoteNetPoint Backbone=PointNet++, Input=PC+RGB2022.0764.4———————————43.3———————————————
FCAF3DPoint Backbone=HDResNet34, Input=PC2022.0764.2———————————48.9———————————————
imVoteNetbackbone=PointNet++, inputs=point+RGB2021.0463.4———————————————————————————
imVoteNetBackbone=PointNet++, Inputs=Points+RGB2022.0463.4———————————————————————————
LCPFormerReference=N/A, Backbone=w/ LCP2022.1063.2———————————46.2———————————————
Group-Free-3Dbackbone=PointNet++, inputs=point, decoder depth (L)=6, number of object candidates (O)=2562021.0463———————————45.2———————————————
GF (L6, O256)Backbone=PointNet++, Inputs=Points2022.0463———————————45.2———————————————
Group-FreePoint Backbone=PointNet++, Input=PC2022.0763———————————45.2———————————————
Group-FreeReference=ICCV 2021, Backbone=PointNet++2022.1062.8———————————44.4———————————————
LCPFormerReference=N/A, Backbone=w/o LCP2022.1062.7———————————43.3———————————————
GF (L6, O256)Backbone=PointNet++, Inputs=Points+RGB2022.0462.1———————————42.7———————————————
RDFC-GANBase Detector=H3DNet2023.0661.75———————————40.63———————————————
HGNetbackbone=GU-net, inputs=point2021.0461.6———————————————————————————
H3DNetBackbone=4xPointNet++, Inputs=Points2022.0461.6———————————————————————————
HGNetReference=CVPR 2020, Backbone=GU-Net2022.1061.6———————————————————————————
LCPFormer+ VoteNetReference=N/A, Backbone=w/ LCP2022.1061.4———————————39.6———————————————
BRNetPoint Backbone=PointNet++, Input=PC2022.0761.1———————————43.7———————————————
Pointformer + VoteNetReference=CVPR 2021, Backbone=Pointformer2022.1061.1———————————36.9———————————————
RDF-GANBase Detector=H3DNet2023.0661.03———————————39.71———————————————
RDFC-GANBase Detector=VoteNet2023.0661.02———————————37.47———————————————
RDF-GANBase Detector=VoteNet2023.0660.64———————————37.28———————————————
GTBase Detector=H3DNet2023.0660.51———————————39.22———————————————
EQ-NetReference=CVPR 2022, Backbone=EQ-PointNet++2022.1060.5———————————38.5———————————————
DeepLidarBase Detector=H3DNet2023.0660.35———————————39.16———————————————
H3DNetBase Detector=H3DNet2023.0660.11———————————39.04———————————————
H3DNetbackbone=4xPointNet++, inputs=point2021.0460.1———————————39———————————————
HGNetBackbone=GU-net, Inputs=Points2022.0460.1———————————39———————————————
H3DNetPoint Backbone=4xPointNet++, Input=PC2022.0760.1———————————39———————————————
H3DNetReference=ECCV 2020, Backbone=4x PointNet++2022.1060.1———————————39———————————————
T3DReference=TCSVT 2021, Backbone=PointNet++2022.1060.1———————————————————————————
MLCVNetbackbone=PointNet++, inputs=point2021.0459.8———————————————————————————
MLCVNetBackbone=PointNet++, Inputs=Points2022.0459.8———————————————————————————
MLCVNetPoint Backbone=PointNet++, Input=PC2022.0759.8———————————————————————————
MLCVNetReference=CVPR 2020, Backbone=PointNet++2022.1059.8———————————————————————————
DeepLidarBase Detector=VoteNet2023.0659.73———————————35.49———————————————
GTBase Detector=VoteNet2023.0659.44———————————36.3———————————————
VoteNetbackbone=PointNet++, inputs=point2021.0459.1———————————35.8———————————————
VoteNetBackbone=PointNet++, Inputs=Points2022.0459.1———————————35.8———————————————
3DETRPoint Backbone=Transformers, Input=PC2022.0759.1———————————32.7———————————————
3DETR-mReference=ICCV 20212022.1059.1———————————32.7———————————————
VoteNetReference=ICCV 2019, Backbone=PointNet++2022.1059.1———————————35.8———————————————
VoteNetBase Detector=VoteNet2023.0659.07———————————35.77———————————————
TupleInfoNCEBackbone=VoteNet2021.0758———————————————————————————
VoteNetBackbone=PointNet++, Inputs=Points+RGB2022.0458———————————34.3———————————————
3DETRReference=ICCV 20212022.1058———————————30.3———————————————
InfoNCEBackbone=VoteNet2021.0756.8———————————————————————————
MISABackbone=VoteNet2021.0756.7———————————————————————————
CMCBackbone=VoteNet2021.0756.5———————————————————————————
Train from scratchBackbone=VoteNet2021.0756.3———————————————————————————
F-PointNetPoint Backbone=PointNet, Input=PC+RGB2022.0754———————————————————————————
COGInput=PC+RGB2022.0747.6———————————————————————————
NLSPNBase Detector=VoteNet2023.0647.43———————————26.1———————————————
PointFusionPoint Backbone=PointNet, Input=PC+RGB2022.0745.4———————————————————————————
NLSPNBase Detector=H3DNet2023.0627.1———————————9.77———————————————
Uni3DETRlatency=0.52 s, params=26.71 M, FLOPS=458.74 G2023.100.67——————————0.6435————————————————
UVTRlatency=0.51 s, params=26.12 M, FLOPS=451.12 G2023.100.502——————————0.5555————————————————
PillarNetlatency=0.31 s, params=12.55 M, FLOPS=100.10 G2023.100.282——————————0.44————————————————
CenterPointlatency=0.32 s, params=9.17 M, FLOPS=121.10 G2023.100.189——————————0.3775————————————————
VoxelNeXtlatency=0.29 s, params=7.12 M, FLOPS=42.57 G2023.100.181——————————0.393————————————————
3DGPInput=Point Cloud2021.06—5.622.313.241.23———————————————————————
3DGP2021.03—5.622.313.241.23———————————————————————
4DContrast + VoteNetInput=Geo2021.12————————————38.2———————————————
Choi et al.2018.10—5.622.313.241.23———————————————————————
CooPInput=Point Cloud2021.06—63.5817.1241.2226.219.5558.5510.195.343.011.7523.65————————————————
CooPtraining_labels=NYU-37 object labels, source=better results from [34]2021.03—57.7115.2136.6731.1619.9——15.95—3.2821.77—————————————15.9811.3610.47
CSC + VoteNetInput=Geo2021.12————————————36.4———————————————
Cube R-CNNTrained on=SUN RGB-D, Backbone=ResNet-342022.07———————————————————————36.234.7———
Cube R-CNNTrained on=OMNI3DIN, Backbone=ResNet-342022.07———————————————————————37.835.4———
Cube RCNNTrained on=SUN RGB-D2023.10————————————————————————34.7———
Cube RCNNTrained on=Omni3D2023.10————————————————————————35.4———
DeepContrast + VoteNetInput=Geo, Backbone=PointNet++2021.12————————————35.5———————————————
F-PointNetRGB=true, PC=true2021.06———————————54—43.381.133.364.224.73258.161.151.190.9—————
H3DNetRGB=false, PC=true2021.06———————————60.1—73.885.63176.729.633.465.566.550.888.2—————
HoPRInput=Point Cloud2021.06—58.2913.5628.3712.124.7916.50.632.181.292.4114.01————————————————
HoPR2021.03—58.2913.5628.3712.124.79——2.18—2.4114.47—————————————13.718.80.48
Huang et al.2018.10—58.2913.5628.3712.124.7916.50.632.181.292.4114.01————————————————
ImVoteNetRGB=true, PC=true2021.06———————————63.4—75.987.641.376.728.741.469.970.751.190.5—————
ImVoxelNetInput=RGB Only2021.06—77.8765.9463.8951.1731.9184.5333.3539.9121.6517.1948.74————————————————
ImVoxelNetRGB=true, PC=false2021.06———————————40.7—71.769.65.753.721.921.234.651.539.176.8—————
ImVoxelNetTrained on=SUN RGB-D2022.07————————————————————————30.6———
Oursmodel_components=LIEN + SGCN2021.03—89.3235.1469.157.3749.03——33.81—11.945.21—————————————29.2741.3433.93
Ours (cooperative)training_mode=cooperative2018.10—63.5817.1241.2226.219.5558.5510.195.343.011.7523.65————————————————
Ours (individual)training_mode=individual2018.10—53.087.727.0422.85.5128.070.545.082.580.0115.24————————————————
PerspectiveNetInput=Point Cloud2021.06—79.6940.4262.3544.1220.1981.2222.4241.358.2913.1439.09————————————————
PointContrast + VoteNetInput=Geo2021.12————————————34.8———————————————
RandomRooms + VoteNetInput=Geo, Backbone=PointNet++2021.12————————————35.4———————————————
Scratch + VoteNetInput=Geo2021.12————————————31.7———————————————
Total3DTrained on=SUN RGB-D, Backbone=ResNet-34, 2D Input=Oracle detections2022.07———————————————————————23.3————
Total3D2021.03—60.6517.5544.936.4827.93——18.5—5.0426.38—————————————21.1917.0114.51
Uni3DETRTrained on=SUN RGB-D2023.10————————————————————————64.3———
Uni3DETRTrained on=ScanNet2023.10————————————————————————50.9———
VoteNetRGB=false, PC=true2021.06———————————57.7—74.48328.875.32229.862.26447.390.1—————
VoteNetInput=Geo + Height2021.12————————————32.9———————————————