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3D Object Detection on Waymo Open Dataset (WOD) (val) (L1/L2 Difficulty)

84.5Vehicle L1 mAP3DAL+
53.92461.86269.877.738Sep 12, 2022Oct 26, 2022Dec 9, 2022Jan 23, 2023Mar 8, 2023Apr 21, 2023Jun 5, 2023

Evaluation results

MethodLinks
3DAL+Frames=ALL2023.0584.5———82.88————————
3DALFrame=[-inf, inf], Offline=true2023.0684.58475.875.382.979.873.670.8————73.1
SWFormer + MoDARBase detector temporal context=[-2, 0], Frame=[-91, 91], Offline=true, Re-implementation=true2023.0684.58477.57786.382.579.575.8————76.4
SWFormer + MoDARBase detector temporal context=[0, 0], Frame=[-91, 91], Offline=true, Re-implementation=true2023.0682.982.375.675.185.281.37874.3————74.7
MPPNetFrames=162023.0582.7482.2875.4174.9684.6982.2577.4375.0677.2876.6675.1374.52—
MPPNetFrame=[-15, 0], Offline=false2023.0682.782.375.47584.782.377.475.1————75.1
MPPNetFrame=[-3, 0], Offline=false2023.0681.581.174.173.684.681.977.274.7————74.2
SWFormer + MoDARBase detector temporal context=[-2, 0], Frame=[-91, 0], Offline=false, Re-implementation=true2023.068180.573.472.983.579.476.172.1————72.5
Graph-RCNNTraining data percentage=100%2023.0380.880.372.672.182.476.674.46975.374.272.571.5—
SWFormer + MoDARBase detector temporal context=[0, 0], Frame=[-91, 0], Offline=false, Re-implementation=true2023.0680.680.172.872.383.579.575.771.8————72.1
PillarNeXt-BFrames=32023.0580.5880.0872.8972.4285.0482.1178.0475.1978.9277.9476.7175.74—
PV-RCNN++*Frames=22023.0580.1779.772.1471.783.4880.4275.5472.6174.6373.7572.3571.5—
CenterPoint + MoDARFrame=[-91, 91], Offline=true, Re-implementation=true2023.0680.179.573.773.276.471.469.965————69.2
PillarNet-34Frames=22023.0579.9879.477271.5382.5279.337571.9570.5169.6968.3867.58—
MVF++Frame=[-4, 0], Offline=false, Test-time augmentation=true2023.0679.7———81.8————————
PillarNet-18Frames=22023.0579.5979.0671.5671.0882.1178.8274.4971.3570.4169.5768.2767.46—
SWFormerFrames=32023.0579.478.971.170.682.97974.871.1—————
PV-RCNN++*Frames=12023.0579.2578.7870.6170.1881.8376.2873.176873.7272.6671.2170.19—
FSDTraining data percentage=100%2023.0379.278.870.570.182.677.373.969.177.17674.473.3—
OcTrTraining data percentage=100%2023.0379.278.770.870.482.276.37468.573.972.871.169.2—
PV-RCNN++Frame=12022.0979.178.670.369.980.674.671.966.373.572.470.769.668.6
Deformable CenterFormerFrame=82022.0978.878.374.373.882.179.377.87575.274.473.272.373.7
CFNumber of frames=8, Training data percentage=100%2023.0378.878.374.373.882.179.377.87575.274.473.272.3—
CenterFormerFrames=82023.0578.878.374.373.882.179.377.87575.274.473.272.3—
SST-TS*Frames=32023.0578.6678.2169.9869.5783.8180.1475.9472.37—————
SWFormerFrame=[-2, 0], Offline=false, Re-implementation=true2023.0678.578.170.169.78278.173.870.1————69.9
PillarNeXt-BFrames=12023.0578.477.970.2769.8182.5377.1474.969.873.2172.270.5869.62—
RSN*Frames=32023.0578.478.169.569.179.476.269.967—————
PillarNet-18Frames=12023.0578.2477.7370.469.9279.872.5971.5764.970.469.2967.7566.68—
Deformable CenterFormerFrame=42022.0978.177.673.472.981.778.677.274.275.674.873.472.673.2
SWFormerFrames=12023.0577.877.369.268.880.972.772.564.9—————
AFDetV2Frames=12023.0577.6477.1469.6869.2280.1974.6272.1666.9573.7272.7471.0670.12—
Part-A2+Frame=12022.0977.176.568.56875.266.966.258.668.667.466.164.963.8
CenterFormerFrame=22022.0977.176.672.271.780.977.676.2737675.173.672.772.5
Deformable CenterFormerFrame=22022.097776.572.171.681.47876.773.476.675.774.273.372.8
SWFormerFrame=[0, 0], Offline=false, Re-implementation=true2023.067776.568.367.980.972.372.364.4————66.2
SST-TS*Frames=12023.0576.2275.7968.0467.6481.3974.0572.8265.93—————
CenterPoint + MoDARFrame=[-91, 0], Offline=false, Re-implementation=true2023.0676.175.668.968.473.868.766.962.1————65.3
Deformable CenterFormerFrame=12022.0975.274.770.269.778.67373.668.372.371.369.868.869
CFNumber of frames=1, Training data percentage=100%2023.0375.274.770.269.778.67373.668.372.371.369.868.8—
CenterFormerFrame=12022.097574.469.969.47872.473.167.773.872.771.370.269.1
3D-MANFrame=162022.0974.57467.667.171.767.762.659—————
3D-MANFrame=[-15, 0], Offline=false2023.0674.57467.667.171.767.762.659————63.1
LiDAR R-CNNFrame=12022.0973.57364.764.271.258.763.151.768.666.966.164.460.1
CenterPointFrame=[0, 0], Offline=false, Re-implementation=true2023.0672.972.364.764.271.958.364.351.9————58.1
SECOND+Frame=12022.0972.371.763.963.368.758.260.751.360.659.358.357.157.2
StarNetFrame=12022.0955.154.648.748.368.360.959.352.8—————
CenterPointFrame=12022.09———67.9———65.6———68.667.4
CenterPointFrame=22022.09———69.7———70.3———70.970.3