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3D Object Detection on nuScenes

71.7mAP (All)GraphBEV
7.2223.9640.757.44Aug 20, 2025Oct 12, 2025Dec 5, 2025Jan 27, 2026Mar 22, 2026May 14, 2026Jul 7, 2026

Evaluation results

MethodLinks
GraphBEVModality=LiDAR + Camera2026.0571.7——————————73.6———————————1090—————————
InfoCoordiBridgeICA=true, Modality=LiDAR + Camera2026.0570.9——————————73.2———————————0.798—————————
FSFModality=LiDAR + Camera2026.0570.4——————————72.7———————————1288—————————
BEVFusionModality=LiDAR + Camera2026.0570.2——————————72.9———————————1585—————————
Multi-Modal Decouple and Recouple NetworkFLOPs=140 GFLOPs, FPS=3.92026.0369.5——————————72——————81.7———————————————
TransFusionModality=LiDAR + Camera2026.0568.9——————————71.7———————————1882—————————
MetaBEVFLOPs=157 GFLOPs, FPS=3.72026.0368.6——————————71.3——————77.9———————————————
BEVFusionFLOPs=115 GFLOPs, FPS=4.02026.0368.5——————————71——————77.4———————————————
RoPETRModality=Camera2026.0564.8——————————70.9——————————————————————
CenterPointModality=LiDAR2026.0560.3——————————67.3——————————————————————
InfoCoordiBridgeICA=false, Modality=LiDAR + Camera2026.0558——————————63———————————2575—————————
RCT-AD-LBackbone=R1012026.0752.9——————————61.579.1—72.5———————————47.952.2——63.662.269.781.8
LaGen2025.1152——————————49——————————————————————
UniScene2025.1151——————————47——————————————————————
BridgeAD-BBackbone=R1012026.0750.7——————————59.476.2—67.4———————————47.249.8——59.161.968.377.1
OpenDWM2025.1145——————————47——————————————————————
RCT-AD-TBackbone=R502026.0744.2——————————55.665.7—58.1———————————49.149.7——52.653.247.166.9
BridgeAD-SBackbone=R502026.0742.3——————————53.464.3—53.3———————————44.849.2——51.750.646.762.4
SparseDrive+Backbone=R50, Official Evaluation=true2026.0741.8——————————52.559.8—52.7———————————44.249.1——51.452.347.461.1
BEVFormerBackbone=R1012026.0741.6——————————51.759.6—51.9———————————44.448.8——50.851.247.561.8
LiDARCrafter2025.1141——————————41——————————————————————
UniADBackbone=R1012026.0738——————————49.853.4—47.2———————————39.542.9——45.350.146.355.3
ori nuScenes2026.0737.98——————————49.85——————————————————————
CoIn3DTraining Strategy=Joint Mix, Detector Framework=BEVDepth2026.0335.8——————————44.154.269.332.13621.127————————————————
ScaleBEVTraining Strategy=Joint Mix, Detector Framework=BEVDet2026.0329.3——————————35.844.75424.627.518.525.8————————————————
VAD+Backbone=R50, Official Evaluation=true2026.0727.3——————————39.744.5—38.7———————————18.632.1——23.141.427.447.2
Direct MixTraining Strategy=Joint Mix, Detector Framework=BEVDepth2026.0326.7——————————3541.153.721.325.817.625.5————————————————
Point as Skeletonvariant=Video2026.0725.59——————————40.93——————————————————————
OracleTraining Strategy=Oracle (single source), Detector Framework=BEVDepth2026.0325.5——————————33.538.550.820.524.717.524.9————————————————
OVBEVSegprotocol=Open-Vocabulary2026.0624.1——————————30.8——————————————————————
MoVieDriveDiverse conditions?=✓, Multi-modal?=✓2025.0822.7—————————————————————————————————
BEVDetprotocol=Open-Vocabulary2026.0621.9——————————27.1——————————————————————
GaussianLSSprotocol=Open-Vocabulary2026.0620.6——————————26.4——————————————————————
BEVFormerprotocol=Open-Vocabulary2026.0619.5——————————27.5——————————————————————
DriveArena2026.0716.06——————————30.03——————————————————————
CogVideoX + SyntheOccDiverse conditions?=✓, Multi-modal?=✗2025.0815.9—————————————————————————————————
Point as Skeletonvariant=Image2026.0715.82——————————32.87——————————————————————
Panacea2026.0713.72——————————27.73——————————————————————
MagicDrive2026.0712.92——————————28.36——————————————————————
MagicDrive-V2Diverse conditions?=✓, Multi-modal?=✗2025.0811.5—————————————————————————————————
MagicDriveDiverse conditions?=✓, Multi-modal?=✗2025.089.7—————————————————————————————————
3D-VF2025.03———30.1718.9110.547.230.760.7813.828.97———————————————————————
CenterFusionInput=Camera+Radar2026.07—————————————————————————-9.4————————
CenterPointTraining setup=single-dataset training2024.11—8080.5———————————————————————————————
CRAFTInput=Camera+Radar2026.07—————————————————————————-32.3————————
Cube R-CNN2D bounding boxes=oracle, camera intrinsics=ground truth2026.03———————————————————30.6741.18—————————————
Cube R-CNN*2D bounding boxes=oracle, camera intrinsics=ground truth2026.03———————————————————37.5835.69—————————————
DetAny3D2D bounding boxes=oracle, camera intrinsics=ground truth2026.03———————————————————24.2843.11—————————————
FCAF3DTraining setup=single-dataset training2024.11—46.545.5———————————————————————————————
GroupFreeTraining setup=single-dataset training2024.11—10.28.6———————————————————————————————
ImageBind2026.03—————————————————————6.861.57———————————
Le MuMo JEPA2026.03—————————————————————9.522.53———————————
Li et al.2025.03———36.0422.2514.4810.561.150.9517.2211.26———————————————————————
LM-SCIPInput=Camera+Radar2026.07—————————————————————————-40————————
MoCA3D2D bounding boxes=oracle, camera intrinsics=ground truth2026.03———————————————————30.0239.62—————————————
MoCA3D-Cube2D bounding boxes=oracle, camera intrinsics=ground truth2026.03————————————————————39.93—————————————
MultiMAE-MT2026.03—————————————————————6.671.62———————————
MultiMAE-SS2026.03—————————————————————6.951.66———————————
OneDet3DTraining setup=single-dataset training2024.11—80.280.9———————————————————————————————
OneDet3DTraining setup=multi-dataset training2024.11—8181.8———————————————————————————————
OVMono3D-LIFT*2D bounding boxes=oracle, camera intrinsics=ground truth2026.03———————————————————34.5837.55—————————————
PA-DA2025.03———29.4318.0610.848.430.820.4313.78.97———————————————————————
PointPillarTraining setup=single-dataset training2024.11—73.174.3———————————————————————————————
PointRCNNTraining setup=single-dataset training2024.11—25.526.7———————————————————————————————
PV-RCNNTraining setup=single-dataset training2024.11—7676.9———————————————————————————————
SECONDTraining setup=single-dataset training2024.11—58.459.2———————————————————————————————
UVTRTraining setup=single-dataset training2024.11—80.681.2———————————————————————————————
Voxel R-CNN2025.03———31.219.1310.528.390.750.5514.169.36———————————————————————
Voxel R-CNN w/ GBlobsbackbone=Voxel R-CNN2025.03———32.0820.0811.69.135.675.116.4511.44———————————————————————
VoxelNeXtTraining setup=single-dataset training2024.11—8080.6———————————————————————————————