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

69.7mAP@0.25Point-GCC
59.71662.30864.967.492Apr 5, 2022Nov 29, 2022Jul 25, 2023Mar 19, 2024Nov 12, 2024Jul 8, 2025Mar 4, 2026

Evaluation results

MethodLinks
Point-GCCTraining Protocol=Fine-tuning with pre-training, Backbone=TR3D+FF2023.0569.754——————————
TR3D+FFTraining Protocol=Self-supervised Pre-training (Baseline)2023.0569.453.4——————————
V-DETRProtocol=Single Run, TTA=true2023.086851.1——————————
Point-GCCTraining Protocol=Fine-tuning with pre-training, Backbone=TR3D2023.0567.751——————————
V-DETRProtocol=Single Run, TTA=false2023.0867.550.4——————————
V-DETRProtocol=Average 25x trials, TTA=true2023.0867.550——————————
TR3DTraining Protocol=Supervised Only2023.0567.150.4——————————
TR3DTraining Protocol=Self-supervised Pre-training (Baseline)2023.0567.150.4——————————
TR3DProtocol=Single Run2023.0867.150.4——————————
CAGroup3Dmulti-sensor=false2022.1066.850.2——————————
CAGroup3Dstat=max2023.0566.850.2——————————
CAGroup3DProtocol=Single Run2023.0866.850.2——————————
V-DETRProtocol=Average 25x trials, TTA=false2023.0866.849.7——————————
CAGroup3Dstat=average2023.0566.449.5——————————
CAGroup3DProtocol=Average 25x trials2023.0866.449.5——————————
TR3DProtocol=Average 25x trials2023.0866.349.6——————————
TR3DPresent at=ICIP, Paradigm=Fully Supervised2025.0366.349.6——————————
OctFormerbackbone=OctFormer, stat=max2023.0566.250.6——————————
OctFormerbackbone=OctFormer, stat=average2023.0565.750.2——————————
BrTRGB=true2022.1065.448.182.88840.579.733.440.667.471.155.793.5
SPGroup3DAggregation=Best2023.1265.447.1——————————
MTC-RCNNBackbone=PointNet++, Input=RGB + Point Cloud2022.0465.348.6——————————
GroupFree (12, 512) with RepSurf-U²Backbone=RepSurf-U², #Params=23.61M, Infer Speed=195ms2022.0564.947.7——————————
TokenFusionPresented at=CVPR 22, multi-sensor=true2022.1064.948.3——————————
Point-GCCTraining Protocol=Fine-tuning with pre-training, Backbone=VoteNet+FF2023.0564.941.3——————————
SPGroup3DAggregation=Average (25 trials)2023.1264.846.4——————————
GroupFree3D + PiMAEPre-trained=SUN RGB-D2023.0364.646.2——————————
VoteNet+FFTraining Protocol=Self-supervised Pre-training (Baseline)2023.0564.539.2——————————
ORACLEDescription=Upper bound (full annotation), Base detector=CAGroup3D2025.0364.3147.43——————————
GroupFree (6, 256) with RepSurf-UBackbone=RepSurf-U, #Params=11.50M, Infer Speed=150ms2022.0564.345.9——————————
GroupFree (12, 512) with RepSurf-T²Backbone=RepSurf-T², #Params=23.60M, Infer Speed=194ms2022.0564.247.1——————————
FCAF3DPresented at=ECCV'22, multi-sensor=false2022.1064.248.9——————————
FCAF3Dstat=max2023.0564.248.9——————————
FCAF3DTraining Protocol=Supervised Only2023.0564.248.9——————————
FCAF3DProtocol=Single Run2023.0864.248.9——————————
FCAF3DPresented at=ECCV'22, Aggregation=Best2023.1264.248.9——————————
RBGNetBackbone=PointNet++, Rays=66, Object Candidates=256, Input=Point Cloud2022.0464.147.2——————————
RBGNetPresented at=CVPR 22, multi-sensor=false2022.1064.147.2——————————
RBGNetProtocol=Single Run2023.0864.147.2——————————
RBGNetPresented at=CVPR 22, Aggregation=Best2023.1264.147.2——————————
GroupFree (6, 256) with RepSurf-TBackbone=RepSurf-T, #Params=11.50M, Infer Speed=149ms2022.0563.945.6——————————
FCAF3Dstat=average2023.0563.848.2——————————
FCAF3DProtocol=Average 25x trials2023.0863.848.2——————————
FCAF3DPresented at=ECCV'22, Aggregation=Average (25 trials)2023.1263.848.2——————————
FCAF3DPresent at=ECCV, Paradigm=Fully Supervised2025.0363.848.2——————————
RBGNetProtocol=Average 25x trials2023.0863.646.3——————————
RBGNetPresented at=CVPR 22, Aggregation=Average (25 trials)2023.1263.646.3——————————
HyperDet3DPresented at=CVPR 22, multi-sensor=false2022.1063.547.3——————————
HyperDet3DProtocol=Single Run2023.0863.547.3——————————
HyperDet3DPresented at=CVPR 222023.1263.547.3——————————
ImVoteNetBackbone=PointNet++, Input=RGB + Point Cloud2022.0463.4———————————
ImVoteNetBackbone=PointNet++, Input=RGB+Depth2022.0563.4———————————
Group-Free + YOLOSRGB=true2022.1063.445.780.687.53578.532.237.366.769.354.492.1
imVoteNetRGB=true2022.1063.4—75.987.641.376.728.741.469.970.751.190.5
ImVoteNetPresented at=CVPR'20, multi-sensor=true2022.1063.4———————————
Group-freeBackbone=PointNet++, Input=Point Cloud2022.046345.2——————————
GroupFree (6, 256)Backbone=PointNet++, #Params=11.49M, Infer Speed=149ms2022.056345.2——————————
Group-FreeRGB=false2022.106345.28087.832.579.432.63666.77053.891.1
Group-freePresented at=ICCV'21, multi-sensor=false2022.106345.2——————————
GroupFree3DPre-trained=None2023.036345.2——————————
GroupFreestat=max2023.056345.2——————————
Group-FreeProtocol=Single Run2023.086345.2——————————
GroupFreePresented at=ICCV'21, Aggregation=Best2023.126345.2——————————
Group-Free + Faster R-CNNRGB=true2022.1062.744.27887.434.377.232.836.56768.853.291.6
GroupFreestat=average2023.0562.644.4——————————
Group-FreeProtocol=Average 25x trials2023.0862.644.4——————————
GroupFreePresented at=ICCV'21, Aggregation=Average (25 trials)2023.1262.644.4——————————
VENetBackbone=PointNet++, Input=Point Cloud2022.0462.539.2——————————
VENetPresented at=ICCV'21, multi-sensor=false2022.1062.539.2——————————
VENet2023.0562.539.2——————————
VENetProtocol=Single Run2023.0862.539.2——————————
VENetPresented at=ICCV'212023.1262.539.2——————————
Group-Free + 3-dim RGBRGB=true2022.1061.74277.187.231.276.530.836.266.368.15390.7
HGNetBackbone=GU-net, Input=Point Cloud2022.0461.6———————————
HGNetRGB=false2022.1061.6—7884.535.775.234.337.661.765.751.691.1
HGNetPresented at=CVPR 20, multi-sensor=false2022.1061.6———————————
HGNet2023.0561.6———————————
HGNetProtocol=Single Run2023.0861.6———————————
HGNetPresented at=CVPR 202023.1261.6———————————
Point-GCCTraining Protocol=Fine-tuning with pre-training, Backbone=VoteNet, Implementation=Stronger MMDetection3D2023.0561.337.7——————————
GroupFree3D + PiMAE (from scratch)Pre-trained=None2023.0361.244.7——————————
VoteNet + HPE_MLPImplementation framework=MMDetection3D2026.0361.2—77.18534.378.528.53564.167.750.591.1
BRNetBackbone=PointNet++, Input=Point Cloud2022.0461.143.7——————————
BRNetBackbone=PointNet++2022.0561.143.7——————————
BRNetPresented at=CVPR'21, multi-sensor=false2022.1061.143.7——————————
BRNet2023.0561.143.7——————————
BRNetProtocol=Single Run2023.0861.143.7——————————
BRNetPresented at=CVPR'212023.1261.143.7——————————
BRNet2026.0361.1—76.286.929.777.429.635.965.966.451.891.3
PonderTraining Protocol=Fine-tuning with pre-training, Backbone=VoteNet2023.056136.6——————————
Ponder-RGBDDetection Model=VoteNet, Pre-training Type=Rendering, Pre-training Epochs=1002023.106136.6——————————
DepthContrastTraining Protocol=Fine-tuning with pre-training, Backbone=VoteNet2023.0560.435.4——————————
DepthContrastDetection Model=VoteNet, Pre-training Type=Contrast, Pre-training Epochs=10002023.1060.435.4——————————
IAEDetection Model=VoteNet, Pre-training Type=Masked Auto-Encoding, Pre-training Epochs=10002023.1060.436——————————
CPDet3DPresent at=-, Paradigm=Sparse Supervised2025.0360.243.3——————————
H3DNetBackbone=4xPointNet++, Input=Point Cloud2022.0460.139——————————
H3DNetBackbone=4×PointNet++, Infer Speed=266ms2022.0560.139——————————
H3DNetRGB=false2022.1060.13973.885.63176.729.633.465.566.550.888.2
H3DNetPresented at=ECCV'20, multi-sensor=false2022.1060.139——————————
H3DNet2023.0560.139——————————