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3D Object Detection on Waymo Open Dataset (test)

86.95Vehicle L2 mAPHDetZero_Ens
39.650851.930464.2176.4896Jan 31, 2021Oct 22, 2021Jul 13, 2022Apr 3, 2023Dec 23, 2023Sep 12, 2024Jun 4, 2025

Evaluation results

MethodLinks
DetZero_EnsRank=1, Frames=200, Offboard detector=true, Uses TTA/Ensemble=true2023.0686.9592.1791.887.3292.0889.6788.0885.6485.4984.783.6382.85———85.15—————————
LoGoNet_EnsRank=2, Frames=5, Offboard detector=true, LiDAR-Camera fusion=true, Uses TTA/Ensemble=true2023.0682.3288.888.3782.7589.6386.7484.9682.184.5183.5982.3681.46———81.96—————————
MPPNet_TTARank=7, Frames=16, Uses TTA/Ensemble=true2023.0680.9387.7787.3781.3387.9285.1582.8680.1480.7479.978.5477.73———79.6—————————
BEVFusion_TTARank=5, Frames=3, Offboard detector=true, LiDAR-Camera fusion=true, Uses TTA/Ensemble=true2023.0680.9287.9687.5881.2987.6485.0482.1979.6582.5381.6780.1779.33———79.97—————————
MoDARbase_model=SWFormer2023.0680.88887.581.285.882.580.277———————78.9—————————
MT-Net v2Rank=4, Frames=5, Uses TTA/Ensemble=true2023.0680.7987.5487.1281.287.6284.8982.3379.6682.881.7480.5879.54———80—————————
LidarMultiNet_TTARank=6, Frames=3, Uses TTA/Ensemble=true2023.0680.3687.6487.2680.7387.7585.0782.4879.8682.7781.8480.579.59———79.94—————————
LIVOX DetectionRank=9, Frames=7, Anonymous submission=true, Uses TTA/Ensemble=true2023.0680.0586.8186.4580.4187.1784.5782.1679.5980.4679.5978.0877.24———78.96—————————
HRI_ADLAB_HZRank=3, Frames=4, Anonymous submission=true, Uses TTA/Ensemble=true2023.0679.8386.7786.480.1988.5986.0183.8481.2785.6784.8483.6982.87———81.32—————————
DeepFusion_EnsRank=12, Frames=5, Offboard detector=true, LiDAR-Camera fusion=true, Uses TTA/Ensemble=true2023.0679.0986.4586.0979.4386.1483.7780.8878.5780.5379.878.2977.58———78.41—————————
INT_EnsRank=19, Frames=100, Uses TTA/Ensemble=true2023.0678.7385.6385.2379.1284.9781.8779.3576.3679.7678.6577.6276.54———77.21—————————
AFDetV2-EnsRank=17, Frames=1, Uses TTA/Ensemble=true2023.0678.3485.885.4178.4185.2282.1679.7176.7581.280.378.777.83———77.64—————————
CenterFormermodel_type=single-model2022.0977.784.784.478.184.681.879.476.675.574.573.372.4———75.6—————————
FSHNetbaseFrame Setting=single-frame, Test-Time Augmentation=None, Detector Sparsity=fully sparse2025.0677.484.984.577.885.38079.574.377.776.574.873.7——77.475.2—————————
3DAL+Frames=200, LiDAR-Camera fusion=true, Uses TTA/Ensemble=true2023.0676.9185.8485.4677.24—————————————————————
3DAL2023.0676.985.885.577.2—————————————————————
HEDNetFrame setting=single-frame, Model stages=one-stage2023.1076.684.283.87784.179.778.37478.27775.474.3——76.975—————————
SAFDNetFrame Setting=single-frame, Test-Time Augmentation=None, Detector Sparsity=fully sparse2025.0676.283.983.576.684.379.878.474.177.576.374.673.4——76.574.6—————————
PV-RCNN++Number of point cloud frames=22021.0175.9283.7483.3276.3182.679.3876.6373.5574.4473.4372.0671.09—————————————
PV-RCNN++Frames=2, Two-stage model=true2023.0575.9283.7483.3276.3182.679.3876.6373.5574.4473.4372.0671.09——7573.52—————————
PillarNeXt-BFrames=32023.0575.7683.2882.8376.1884.481.4478.8475.9873.7772.7371.5670.55——75.5374.1—————————
FSHNetlightFrame Setting=single-frame, Test-Time Augmentation=None, Detector Sparsity=fully sparse2025.0675.783.48376.184.779.878.874.178.977.776.174.9——7774.9—————————
PillarNet-34Frames=3, Test-time augmentations=true2023.0575.6983.2382.876.0982.3879.0276.6673.4671.4470.5169.268.29——73.9872.48—————————
PillarNet-34Stages=One, Sensors=LT, Frames=22022.0575.6983.2382.876.0982.3879.0276.6673.4671.4470.5169.268.29—————————————
Graph R-CNN2022.1275.6483.5583.1276.0481.9176.4975.5970.45——————75.8273.05—————————
Graph-RCNNframe_setting=single-frame, model_setting=single-model2023.0875.683.683.17681.976.575.670.572.571.369.868.779.37773.871.6—————————
GD-MAEframe_setting=single-frame, model_setting=single-model2023.0875.583.683.275.883.277.177.171.37472.971.270.280.377.774.772.3—————————
GD-MAE2022.1275.4683.5683.1675.8383.1677.0577.171.28——————76.4773.37—————————
PillarNet-18Stages=One, Sensors=LT, Frames=22022.0575.1282.6882.2575.5381.7178.2975.9172.6670.1969.368.0167.15—————————————
CenterPoint++Frames=32023.0575.182.882.375.58178.275.172.474.473.37271——74.272.8—————————
PillarNet-34Input=Single-frame2022.1274.7——————68.5———65.5———69.6—————————
SWFormer2023.0674.782.982.57582.178.175.972.1———————73.4—————————
SWFormerFrames=32023.0574.6582.8982.4975.0282.1378.1375.8772.07—————————————————
PillarNet-34Stages=One, Sensors=LT, Frames=12022.0574.6582.4782.0375.0780.8274.1374.8368.5469.0867.9166.665.47—————————————
PillarNet-vggStages=One, Sensors=LT, Frames=22022.0574.4982.1881.7374.9380.4176.8674.5271.1468.7567.8966.5265.68—————————————
Pyramid R-CNNStages=Two, Sensors=L, Frames=22022.0574.4381.7781.3274.87—————————————————————
FSDv1frame_setting=single-frame, model_setting=single-model2023.0874.182.782.374.482.977.975.971.375.674.472.971.880.478.274.472.4—————————
FSDFrame setting=single-frame, Model stages=two-stage2023.1074.182.782.374.482.977.975.971.375.674.472.971.8——74.472.4—————————
FSD2022.1274.0682.782.3374.482.977.8875.9371.26——————75.1772.66—————————
PillarNet-18Stages=One, Sensors=LT, Frames=12022.0574.0381.8581.474.4679.9772.6873.9567.0967.9866.865.564.36—————————————
FSDv2frame_setting=single-frame, model_setting=single-model2023.087482.48274.483.878.977.472.877.17674.373.281.17975.473.3—————————
FSDv2Frame Setting=single-frame, Test-Time Augmentation=None, Detector Sparsity=fully sparse2025.067482.48274.483.878.977.472.877.17674.373.2——75.473.3—————————
AFDetV2model_type=single-model2022.0973.981.781.274.381.378.175.572.476.475.474.173———73.1—————————
AFDetV2Frames=22023.0573.8981.6581.2274.381.2678.0575.4772.4176.4175.3774.0573.04——74.673.12—————————
AFDetV2Stages=One, Sensors=LT, Frames=22022.0573.8981.6581.2274.381.2678.0575.4772.4176.4175.3774.0573.04—————————————
PV-RCNN++model_type=single-model2022.0973.581.681.273.980.47574.16971.970.869.368.2———70.2—————————
PV-RCNN++Input=Single-frame2022.1273.5——————69———68.2———70.2—————————
PV-RCNN++frame_setting=single-frame, model_setting=single-model2023.0873.581.681.273.980.47574.16971.970.869.368.27875.772.470.2—————————
PV-RCNN++Frame setting=single-frame, Model stages=two-stage2023.1073.581.681.273.980.47574.16971.970.869.368.2——72.470.2—————————
PV-RCNN++Frame Setting=single-frame, Test-Time Augmentation=None, Detector Sparsity=Standard2025.0673.581.681.273.980.47574.16971.970.869.368.2——72.470.2—————————
PV-RCNN++Number of point cloud frames=12021.0173.4781.6281.273.8680.4174.9974.126971.9370.7669.2868.15—————————————
PV-RCNN++2022.1273.4781.6281.273.8680.4174.9974.1269——————73.9971.24—————————
ConQueRInput=Single-frame2022.1273.3——————70.9———71.9———72—————————
PillarNet-vggStages=One, Sensors=LT, Frames=12022.0573.281.1680.6873.6478.370.2872.2364.6867.2666.0764.7963.65—————————————
CenterPointmodel_type=single-model2022.097381.180.673.480.577.374.671.574.673.772.271.3———71.9—————————
CenterPointNumber of point cloud frames=22021.0172.9981.0580.5973.4280.4777.2874.5671.5274.673.6872.1771.28—————————————
CenterPointStages=Two, Sensors=L, Frames=22022.0572.9981.0580.5973.4280.4777.2874.5671.5274.673.6872.1771.28—————————————
SST_3fmodel_type=single-model2022.0972.78180.673.183.379.776.973.575.774.673.272.2———72.8—————————
AFDetv2Input=Single-frame2022.1272.6——————68.6———68.7———70—————————
AFDetV2-liteframe_setting=single-frame, model_setting=single-model2023.0872.680.5807379.874.373.768.672.471.269.869.777.675.272.270.3—————————
AFDetV2Frame setting=single-frame, Model stages=one-stage2023.1072.680.5807379.874.373.768.672.471.269.869.7——72.270.3—————————
AFDetV2Frame Setting=single-frame, Test-Time Augmentation=None, Detector Sparsity=Standard2025.0672.680.5807379.874.473.768.672.471.269.868.7——72.270—————————
AFDetV2Stages=One, Sensors=LT, Frames=12022.0572.5580.4980.4372.9879.7674.3573.7168.6172.4371.2369.8468.67—————————————
PV-RCNNframe_setting=single-frame, model_setting=single-model2023.0872.480.680.172.878.27271.86671.870.469.167.876.974.271.368.8—————————
PV-RCNNFrame setting=single-frame, Model stages=two-stage2023.1072.480.680.172.878.27271.86671.870.469.167.8——71.368.8—————————
PV-RCNNNumber of point cloud frames=12021.0172.3980.680.1572.8178.1672.0171.8166.0571.870.4269.1367.8—————————————
PV-RCNN2022.1272.3980.680.1572.8178.1672.0171.8166.05——————72.3169.22—————————
CenterPointofficial open-source codebase=true2021.0171.9——————67———68.2—————————————
CenterPointInput=Single-frame2022.1271.9——————67———68.2———69—————————
CenterPointframe_setting=single-frame, model_setting=single-model2023.0871.9——————67———68.2———69—————————
CenterPointNumber of point cloud frames=12021.0171.880.279.772.278.372.172.266.4—————————————————
CenterPoint2022.1271.880.279.772.278.372.172.266.4——————72.269.1—————————
CenterPointFrame Setting=single-frame, Test-Time Augmentation=None, Detector Sparsity=Standard2025.0671.880.279.772.278.372.172.266.4—————————————————
CenterPointStages=Two, Sensors=LT, Frames=12022.0571.880.279.772.278.372.172.266.4—————————————————
RSNmodel_type=single-model2022.0971.680.780.371.978.975.670.767.8—————————————————
RSNNumber of point cloud frames=32021.0171.680.780.371.978.975.670.767.8—————————————————
RSNStages=Two, Sensors=LT, Frames=32022.0571.680.780.371.978.975.670.767.8—————————————————
M3DETRmodel_type=single-model2022.097077.777.170.568.258.560.65267.365.765.363.8———61.9—————————
3D-MANmodel_type=single-model2022.097078.778.370.470666460.3—————————————————
M3DETRInput frame type=single point cloud frame input2021.0469.9877.6677.0970.5468.258.560.6452.0367.2865.6965.3163.7571.0567.0965.561.92—————————
3D-MANStages=Multi, Sensors=L, Frames=152022.0569.9878.7178.2870.3769.9765.9863.9860.26—————————————————
PV-RCNN*Input frame type=single point cloud frame input2021.0467.4676.8976.367.9965.4355.8559.5650.7466.3864.6863.4261.8169.5765.6163.6560—————————
RCDStages=Two, Frames=12022.0564.771.9771.5965.06—————————————————————
PointPillarsStages=One, Sensors=LT, Frames=12022.0560.168.668.160.56855.561.450.1—————————————————
LoGoNetInterpolation Method=Offline N-PCI + CBM, Modality=L+I2025.0259.8563.663.1660.2768.1460.5362.7755.6742.8541.8137.6636.74—————53.5750.75——————
LoGoNetInterpolation Method=Offline N-PCI + EMA, Modality=L+I2025.0259.7363.4863.0560.1567.8560.2862.4355.3742.441.3737.2936.38—————53.2950.49——————
Ev-3DOD3D Detection Modality=L+I+E2025.0258.8560.359.9559.1957.450.7855.348.9331.0830.3829.6929.03——48.0645.627.09————————
Ev-3DODInterpolation Method=Online, Modality=L+I+E2025.0258.8560.359.9559.1957.450.7855.348.9331.0830.3829.6929.03—————48.0645.6——————
VoxelNeXtInterpolation Method=Offline N-PCI, Modality=L2025.0258.6762.9662.5159.168.4360.7762.8555.6944.5543.1538.8837.65—————53.6150.67——————
Ev-3DOD-Small3D Detection Modality=L+I+E2025.0256.5757.9557.6256.8951.8745.9149.9444.2127.0126.4425.825.25——44.2142.0154.14————————
PPBAmodel_type=single-model2022.0955.864.664.156.269.761.76355.8—————————————————
HEDNetInterpolation Method=Offline N-PCI, Modality=L2025.0255.4559.5759.0955.963.2855.3258.0350.6243.1441.837.6336.46—————50.5247.51——————
PointPillarNumber of point cloud frames=12021.0155.163.362.855.662.150.255.945.1—————————————————
StarNetmodel_type=single-model2022.0954.561.56154.967.859.961.154—————————————————
StarNetNumber of point cloud frames=12021.0154.561.56154.967.859.961.154—————————————————
Focals ConvInterpolation Method=Offline N-PCI + EMA, Modality=L+I2025.0253.9955.4955.0254.4548.0743.0646.5441.6927.726.626.5925.54—————42.5340.41——————
Focals ConvInterpolation Method=Offline N-PCI + CBM, Modality=L+I2025.0253.9855.4855.0154.4448.0743.0646.5441.6827.6726.5726.5625.5—————42.5140.39——————
VoxelNeXt3D Detection Modality=L2025.0241.4944.444.141.7840.5236.2336.9332.9624.423.7321.2420.66——33.3231.717.34————————
VoxelNeXtInterpolation Method=Online, Modality=L2025.0241.4944.444.141.7840.5236.2336.9332.9624.423.7321.2420.66—————33.3231.7——————
LoGoNet3D Detection Modality=L+I2025.0241.4744.1443.8741.7339.9835.8436.4832.6724.7124.1521.5921.1——33.2731.7510.68————————