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3D Object Detection on nuScenes (val) (Core Metrics)

76.7NDSOurs
60.68464.8426973.158Dec 12, 2024Mar 13, 2025Jun 13, 2025Sep 13, 2025Dec 13, 2025Mar 15, 2026Jun 15, 2026

Evaluation results

MethodLinks
OursModality=L+C2026.0576.773.4——38.6——————90.2—————88.263.175.167.478.283.260.290.3
SparseLIFsModality=L+C2026.0576.573.4——82——————75—————90.772.346.333.190.883.976.983
MV2DFusionModality=L+C2026.0575.473.9———————————————————————
Co-Fusion4DImage Encoder=Swin-T2026.0575.373.9———————————————————————
MV2DFusion + RayMambaData=LC2026.047573.4——37.8——————83.6—————9067.579.247.475.684.877.190.5
MV2DFusionData=LC2026.0474.873——37.8——————83.9—————8966.18045.775.385.276.691
UniTRModality=L2026.0574.570.9——39.2——————89.7—————87.960.272.265.176.875.852.289.4
IS-FusionModality=L+C2026.057472.8——38.4——————89.2—————88.362.774.967.378.182.459.589.3
IS-FusionImage Encoder=Swin-T2026.057472.8———————————————————————
DepthFusionVenue=TMM’26, Modality=LC2026.067471.2———————————————————————
IS-FusionMasked-Modal Training=true2026.0573.7————————————————————————
Ours2025.0773.671.589.868.535.177.245.57880.568.390.182—————————————
Co-Fix3DImage Encoder=ResNet-502026.0573.670.8———————————————————————
BEVFusion4DData=LC2026.0473.572——32.9——————80.9—————90.670.381.547.171.681.57390.2
BEVFusion4DImage Encoder=Swin-T2026.0573.572———————————————————————
GAFusionImage Encoder=Swin-T2026.0573.572.1———————————————————————
GraphBEV++ (Query)Modality=LC2026.0673.471.4——32.3——————82.5—————91.666.277.445.577.881.968.490.4
SparseFusionMasked-Modal Training=true2026.0573.3————————————————————————
SparseFusionMasked-Modal Training=false2026.0573.2————————————————————————
BEVFormer-MVenue=TPAMI’25, Modality=LC2026.0673.271.2———————————————————————
GraphBEV++ (LSS)Modality=LC2026.0673.270.7——31.8——————83.4—————90.565.376.444.476.680.868.189.7
SparseFusionModality=L+C2026.0573.171——38.3——————87.5—————87.659.871.664.578.878.159.490.5
EA-LSSModality=L+C2026.0573.171.2——71.7——————79.5—————85.262.164.138.986.380.961.686.2
SparseFusionImage Encoder=ResNet-502026.0573.171———————————————————————
BEVFormer-MVenue=TPAMI’25, Modality=LC, re-implementation=true2026.067370.9——32.1——————82.2—————90.465.777.14577.581.26889.7
GraphBEVPresent at=ECCV 242025.0772.970.189.864.231.275.843.575.679.366.388.680.9—————————————
CMTMasked-Modal Training=true2026.0572.9————————————————————————
HD-FusionVenue=TII’26, Modality=LC2026.0672.970.5——35.4——————83.3—————88.860.580.748.168.179.869.790.3
GraphBEVVenue=ECCV’24, Modality=LC2026.0672.970.1——31.1——————82.2—————89.964.77643.87680.167.589.2
UniMambaPresent at=CVPR 252025.0772.668.588.764.728.779.747.972.374.659.189.779.5—————————————
IS-FusionMasked-Modal Training=false2026.0572.5————————————————————————
M3NetPresent at=AAAI 252025.0772.4698964.530.377.947.573.276.561.489.280.4—————————————
ObjectFusionVenue=ICCV’23, Modality=LC2026.0672.369.8——31.8——————81.1—————89.765.677.742.875.279.46589.3
LION-MambaPresent at=NeurIPS 242025.0772.16887.964.928.577.644.471.675.659.489.680.8—————————————
BEVFusionData=LC2026.0472.169.6——30.9——————79.3—————89.166.777.742.673.57967.589.4
BEVDiffuserPresent at=CVPR 252025.0771.969.288.563.53175.346.273.277.562.887.980.5—————————————
CMTMasked-Modal Training=false2026.0571.9————————————————————————
FSHNetPresent at=CVPR 252025.0771.768.188.761.426.379.347.872.376.760.589.378.6—————————————
BEVFusion-MITPresent at=ICRA 232025.0771.468.588.261.730.275.141.572.576.364.287.581—————————————
BEVFusionMasked-Modal Training=false2026.0571.4————————————————————————
BEVFusionImage Encoder=Swin-T2026.0571.468.5———————————————————————
TransFusionData=LC2026.0471.367.5———————————————————————
TransFusion-LCImage Encoder=ResNet-502026.0571.367.5———————————————————————
DGFSDVenue=MM’25, Modality=L2026.0671.366.8——26.4——————75.7—————87.963.477.947.269.875.856.188.1
DSVTRepr.=Pillar, Key Operators=Transformer2025.0671.166.4——25.3——————77.9—————87.462.675.942.17174.858.788.2
HEDnetModality=L2026.0571.0966.97——27.64——————76.19—————87.5562.2977.5146.9369.2575.0559.6787.57
SAFDNetPresent at=CVPR 242025.077166.387.660.826.67843.569.775.55887.875—————————————
BEVFusion-PKUPresent at=NeurIPS 222025.077167.987.359.828.973.541.273.874.659.885.468.2—————————————
SAFDNetRepr.=Voxel, Key Operators=SpConv2025.067166.3——26.6——————75—————87.660.87843.569.775.55887.8
FALORepr.=Pillar, Key Operators=Conv, MLP, HP2025.0670.865.7——25.5——————77.5—————87.162.375.34368.771.957.987.6
TransFusionMasked-Modal Training=false2026.0570.8————————————————————————
DeepInteractionMasked-Modal Training=true2026.0570.6————————————————————————
TransFusionMasked-Modal Training=true2026.0570.5————————————————————————
FSDv2Repr.=Voxel, Key Operators=SpConv2025.0670.464.7——28.5——————72.9—————84.457.375.944.173.669.557.486.9
FSDv2Venue=TPAMI’24, Modality=L2026.0670.464.7———————————————————————
BEVFusionModality Availability=Both Modalities2026.0570.3366.91———————————————————————
TransFusion-LPresent at=CVPR 222025.0770.265.586.254.826.570.142.372.169.853.986.470.3—————————————
Enhanced HOPErouting=adaptive LID routing, GFLOPs=21.72026.0570.165.3———————————————————————
TransFusion-LRepr.=Voxel, Key Operators=SpConv2025.0670.165.5——25.2——————77.2—————86.960.873.143.470.372.957.387.5
TransFusion-LVenue=CVPR’22, Modality=L2026.0670.165.1——25.4——————74.1—————86.559.674.442.274.172.15686.6
Enhanced HOPEmode=static, ℓ=6, GFLOPs=35.12026.0569.865.1———————————————————————
SB-BEVFusion (Avg)Modality Availability=Both Modalities2026.0569.767.37———————————————————————
SB-BEVFusion (Avg)Modality Availability=LiDAR Only2026.0569.5964.48———————————————————————
LinKRepr.=Voxel, Key Operators=SpConv2025.0669.563.6———————————————————————
BEVFusionModality=L+C2026.0569.4367.75———————————————————————
PillarNeSt-BaseRepr.=Pillar, Key Operators=Conv, MLP2025.0669.263.2———————————————————————
TransFusionGFLOPs=52.72026.0569.164.2———————————————————————
LargeKernel3DRepr.=Voxel, Key Operators=SpConv2025.0669.163.9——24.3——————72.3—————85.160.172.641.467.770.859.285.6
DeepInteractionMasked-Modal Training=false2026.0569.1————————————————————————
PillarNeXt-BRepr.=Pillar, Key Operators=SpConv2025.0668.862.5———————————————————————
BEVFusionMasked-Modal Training=true2026.0568.7————————————————————————
UniBEVModality Availability=Both Modalities2026.0568.564.2———————————————————————
Uni3DETRRepr.=Voxel, Key Operators=SpConv2025.0668.561.7———————————————————————
SparseDriveGFLOPs=38.42026.0568.363.5———————————————————————
FastPillars-mRepr.=Pillar, Key Operators=Conv, Attention2025.0668.261.7———————————————————————
VISTARepr.=Voxel, Key Operators=SpConv2025.0668.160.8——36.8——————84.1—————84.857.220.567.669.767.750.769
VoxelNextModality=L2026.0567.6660.48——22.58——————71.01—————84.0454.5966.4638.5365.3765.2650.7886.1
PillarNet-34Repr.=Pillar, Key Operators=SpConv2025.0667.660.2———————————————————————
VoxelNeXtRepr.=Voxel, Key Operators=SpConv2025.0666.760.5——21.1——————69.4—————83.955.570.538.169.462.85084.6
CenterPoint + RayMambaData=L2026.0465.657.4——16.7——————66.6—————85.554.468.238.263.558.738.584.1
UniBEVModality Availability=LiDAR Only2026.0565.358.2———————————————————————
CenterPointGFLOPs=30.22026.0564.856.4———————————————————————
CenterPointRepr.=Voxel, Key Operators=SpConv2025.0664.856.4———————————————————————
CenterPointData=L2026.0464.756.4——16.5——————64.3—————84.653.96737.56555.336.783.3
CenterPointAnnotation Rate=100%2026.0264.6156.11——16.4——————64.91—————84.6352.8766.8536.8565.7953.9735.3983.46
RaCFormerInput=C+R, Backbone=R101, Image Size=1408 x 512, CBGS=false, Future Frames=false2025.056357.3——————————47.626.142.821.318————————
StreamPETRBackbone=EVA-02-L, Image Resolution=800×1600, Model Size (M)=316.6, GFLOPs=45,044, Latency tau_E (ms)=2,571, Latency tau (ms)=2,724, Avg. rank=3.362026.046355.5——————————53.925.525.823.119.9————————
StreamPETR + ToC3DBackbone=EVA-02-L, Image Resolution=800×1600, Model Size (M)=324.4, GFLOPs=37,060, Latency tau_E (ms)=2,020, Latency tau (ms)=2,171, Avg. rank=2.902026.046355.2——————————53.425.724.123.120————————
StreamPETR + Ours (Dynamic Token Selection)Backbone=EVA-02-L, Image Resolution=800×1600, Token selection rate (r)=0.5, Model Size (M)=318.2, GFLOPs=26,798, Latency tau_E (ms)=1,954, Latency tau (ms)=2,098, Avg. rank=2.272026.046355.5——————————53.925.525.62319.6————————
StreamPETR + Ours (Dynamic Token Selection)Backbone=EVA-02-L, Image Resolution=800×1600, Token selection rate (r)=0.3, Model Size (M)=318.2, GFLOPs=21,131, Latency tau_E (ms)=1,737, Latency tau (ms)=1,880, Avg. rank=2.272026.046355.5——————————54.125.425.823.119.7————————
Refine3DVenue=AAAI’26, Modality=C2026.0662.453.9———————————————————————
RICCARDOInput=C+R, Backbone=R101, Image Size=1408 x 512, CBGS=false, Future Frames=true2025.0562.254.4——————————48.126.632.523.718.9————————
RQR3DInput=C+R, Backbone=R101, Image Size=1408 x 512, CBGS=false, Future Frames=false2025.0562.254.7——————————41.728.138.122.818.8————————
CRT-FusionInput=C+R, Backbone=R101, Image Size=1408 x 512, CBGS=false, Future Frames=false2025.0562.155.4——————————42.526.443.323.719.3————————
StreamPETR + tgGBCBackbone=EVA-02-L, Image Resolution=800×1600, Model Size (M)=316.6, GFLOPs=44,964, Latency tau_E (ms)=2,491, Latency tau (ms)=2,550, Avg. rank=3.542026.0462.154.2——————————5625.625.522.320.4————————
StreamPETR + Ours (Dynamic Token Selection)Backbone=EVA-02-L, Image Resolution=800×1600, Token selection rate (r)=0.1, Model Size (M)=318.2, GFLOPs=18,512, Latency tau_E (ms)=1,652, Latency tau (ms)=1,789, Avg. rank=2.092026.0462.154.1——————————55.625.425.423.419.4————————
CMCRArchitecture=VoxelNet + CenterPoint, Labeled data percentage=20%2024.126252.7———————————————————————
HyDRaInput=C+R, Backbone=R101, Image Size=1408 x 512, CBGS=false, Future Frames=false2025.0561.753.6——————————41.626.440.723.118.6————————
CSCArchitecture=VoxelNet + CenterPoint, Labeled data percentage=20%2024.1261.351.9———————————————————————
RaCFormerInput=C+R, Backbone=R50, Image Size=704 x 256, CBGS=false, Future Frames=false2025.0561.354.1——————————47.826.142.821.318————————