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3D Object Detection (Pedestrian) on Waymo Open Dataset v1.2 (val)

89.54mAP L1DetZero (Full)
64.257670.821377.38583.9487Mar 22, 2023Apr 4, 2023Apr 17, 2023Apr 30, 2023May 13, 2023May 26, 2023Jun 9, 2023

Evaluation results

MethodLinks
DetZero (Full)Frames=200, TTA/Ensemble=true2023.0689.5487.0683.5281.01
DetZero (Upstream)Frames=52023.0686.1783.0779.3976.34
MPPNetFrames=162023.0684.6982.2577.4375.06
3DALFrames=200, TTA/Ensemble=true2023.0682.88———
CenterFormerFrames=82023.0682.179.377.875
SSTTraining samples ratio=20%, IoU threshold=0.5, Training mode=Single-class2023.0381.3974.0572.8265.93
OcTrTraining samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0380.7674.3972.4866.52
CenterPointFrames=12023.067972.97165.3
PV-RCNN++Training samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0377.9971.3669.9263.74
PV-RCNNFrames=12023.0675.0165.6566.0457.61
PDVTraining samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0374.1965.9665.8558.28
PDVFrames=12023.0674.1965.9665.8558.28
CenterPointTraining samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0372.0965.4964.2758.23
PV-RCNNTraining samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0371.9861.2463.753.95
PartA2NetTraining samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0371.7663.6462.5355.3
LiDAR-RCNNTraining samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0371.258.763.151.7
3D-MANFrames=162023.0671.167.762.659
PointPillarTraining samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0366.2146.3258.1840.64
MVFFrames=12023.0665.33———
SECONDTraining samples ratio=20%, IoU threshold=0.5, Training mode=Multi-class2023.0365.2354.2457.2247.49
INTFrames=22023.06———71.9