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3D Object Detection (Vehicle) on Waymo Open Dataset LEVEL_2 (val)

69.683D AP (Overall)GLENet-VR
-2.423216.295935.01553.7341Mar 29, 2021Dec 4, 2021Aug 11, 2022Apr 18, 2023Dec 24, 2023Aug 30, 2024May 7, 2025

Evaluation results

MethodLinks
GLENet-VR2022.0769.6892.0971.2144.3668.97———————————
CT3D2022.0769.0491.7668.9342.6————————————
GLENet-CP2022.0768.591.9569.4343.6868.08———————————
LiDAR R-CNN (2xc)proposals=PointPillars*, cascade=another stage on LiDAR R-CNN (2x) outputs2021.0368.391.368.542.467.990.96841.881.794.382.365.88193.981.564.5
Voxel R-CNNOpenPCDet reproduction=true2022.0768.0691.5669.6242.867.64———————————
LiDAR R-CNN (2x)proposals=PointPillars*, channels=double in points encoding network2021.036891.168.141.167.690.767.640.581.694.382.265.680.993.981.464.2
3D-MANMulti-frame point clouds=true, IoU threshold=0.72021.0367.619267.241.3867.1491.5766.6240.84————————
CenterPoint-TSOpenPCDet reproduction=true2022.0767.3790.8968.1142.4666.94———————————
Pyramid-PV2022.0767.23———66.68———————————
LiDAR R-CNN (pp)proposals=PointPillars*2021.0366.589.168.340.866.188.767.740.381.294.281.863.680.593.78162.3
VoTr-TSD2022.0765.91———65.29———————————
PV-RCNN2021.0365.491.665.136.564.89164.535.777.594.680.455.476.69479.453.8
PV-RCNNMulti-frame point clouds=false, IoU threshold=0.72021.0365.3691.5865.1336.4664.799164.4935.7————————
PV-RCNN2022.0765.3691.5865.1336.4664.79———————————
GLENet-S2022.0764.7887.5665.1138.664.25———————————
PointPillars*framework=mmdetection3d2021.0363.687.462.937.263.186.962.336.781.39481.765.580.493.580.864.1
SECONDOpenPCDet reproduction=true2022.0762.7686.9262.5735.8962.3———————————
3D-MANMulti-frame point clouds=false, IoU threshold=0.72021.0360.1687.159.2732.6959.7186.6858.7132.08————————
LiDAR R-CNN (rv)proposals=RV first stage2021.0360.184.161.835.759.783.661.335.274.289.874.754.873.589.27453.9
PointPillarsMulti-frame point clouds=true, IoU threshold=0.72021.0357.2884.3155.4129.7156.8183.7954.929.24————————
PointPillarsMulti-frame point clouds=false, IoU threshold=0.72021.0355.1883.6153.0126.7354.6983.0852.4626.24————————
StarNetMulti-frame point clouds=false, IoU threshold=0.72021.0348.6979.6743.5720.5348.2679.1143.1120.19————————
RV first stagefollows=[2]2021.034670.644.12145.569.843.620.763.585.562.741.162.784.561.940.3
MonoCoPIoU threshold=0.5, Retrained=false2025.0511.0327.495.821.2910.9327.255.761.27————————
MonoUNIIoU threshold=0.5, Retrained=false2025.0510.3826.573.950.5310.2426.243.890.51————————
DEVIANTIoU threshold=0.5, Retrained=false2025.0510.2926.75—0.1610.226.544.90.16————————
MonoDGPIoU threshold=0.5, Retrained=true2025.059.4323.924.880.869.3223.654.840.85————————
GUP NetIoU threshold=0.5, Retrained=false2025.059.3924.694.670.199.3124.54.620.19————————
MonoDETRIoU threshold=0.5, Retrained=true2025.059.0823.74.550.87923.494.510.86————————
CaDDNExtra=LiDAR2024.104.4914.51.420.094.4514.381.410.09————————
MonoDGPExtra=None2024.10410.21.130.153.9610.081.120.15————————
MonoUNIExtra=None2024.103.048.590.850.1238.480.840.12————————
MonoUNIIoU threshold=0.7, Retrained=false2025.053.048.590.850.1238.480.840.12————————
MonoCoPIoU threshold=0.7, Retrained=false2025.052.557.411.030.142.537.35—0.14————————
DEVIANTExtra=None2024.102.526.930.950.022.56.870.940.02————————
DEVIANTIoU threshold=0.7, Retrained=false2025.052.526.930.950.022.56.870.940.02————————
MonoDGPIoU threshold=0.7, Retrained=true2025.052.266.650.810.12.246.590.810.1————————
GUPNetExtra=None2024.102.146.130.780.022.126.080.770.02————————
GUP NetIoU threshold=0.7, Retrained=false2025.052.146.130.780.022.126.080.770.02————————
MonoDETRIoU threshold=0.7, Retrained=true2025.051.985.960.710.11.975.920.70.1————————
PCTExtra=Depth2024.100.663.180.270.070.663.150.260.07————————
PatchNetExtra=Depth2024.100.381.670.130.030.361.630.110.03————————
M3D-RPNExtra=None2024.100.351.120.180.020.331.10.170.02————————