List your company

3D Object Detection on Waymo Open Dataset 1.2 (val)

72.5Vehicle mAP H L2PTv3
62.72465.26267.870.338Dec 31, 2019Aug 27, 2020Apr 25, 2021Dec 22, 2021Aug 20, 2022Apr 18, 2023Dec 15, 2023

Evaluation results

MethodLinks
PTv3Number of input frames=32023.1272.5——73——7875——72.371.4—73————
PTv3Number of input frames=22023.1272.1——72.5——77.674.5——7170.1—72.2————
PillarNetNumber of input frames=22023.1271.6——71.6——74.571.4——68.367.5—70.2————
CenterPoint++Number of input frames=32023.1271.4——71.8——73.570.8——73.772.8—71.6————
FlatFormerNumber of input frames=32023.1271——71.4——74.571.3——74.773.7—72————
PTv3Number of input frames=12023.1270.8——71.2——76.370.4——71.570.4—70.5————
PillarNet-34Detector Category=Dense, Input Frames=Single-frame2022.1270.579.178.670.980.67472.366.272.371.269.768.77168.5————
ConQueRDetector Category=Sparse, Backbone=2x wider ResNet, BEV feature map=1/4 downscaled, Input Frames=Single-frame2022.1270.578.477.97180.975.273.768.177.376.174.573.373.170.6————
ConQueRDetector Category=Sparse, Backbone=2x wider ResNet, BEV feature map=1/4 downscaled, NMS=conducted on pedestrians and cyclists, Input Frames=Single-frame2022.1270.578.477.97182.476.675.870.177.576.475.274.17471.6————
FlatFormerNumber of input frames=22023.1270.3——70.8——73.870.5——73.672.6—71.2————
PV-RCNN++Detector Category=Dense, Input Frames=Single-frame2022.1270.279.378.870.681.376.373.26873.772.771.270.271.769.5————
PillarNetNumber of input frames=12023.1269.9——70.4——71.664.9——67.866.7—67.2————
CenterFormerDetector Category=Dense, Input Frames=Single-frame2022.1269.775.274.770.278.67373.668.372.371.369.868.871.269————
AFDetV2Detector Category=Dense, Input Frames=Single-frame2022.1269.277.677.169.780.274.672.26773.772.77170.17168.8————
SWFormerDetector Category=Dense, Input Frames=Single-frame2022.1268.877.877.369.280.972.772.564.9——————————
FlatFormerNumber of input frames=12023.1268.6——69——71.565.3——68.667.5—67.2————
PV-RCNNDataset Version=1.22019.1268.4177.5176.8968.9875.0165.6566.0457.6167.8166.3565.3963.98——————
PV-RCNNDetector Category=Dense, Input Frames=Single-frame2022.1268.477.576.9697565.66657.667.866.465.46466.863.3————
ConQueRDetector Category=Sparse, Input Frames=Single-frame2022.1268.276.175.668.77972.370.964.773.972.571.470.170.367.7————
SST_TSDetector Category=Dense, Model Stages=Two-stage, Input Frames=Single-frame2022.1267.676.275.86881.474.172.865.9——————————
CenterPointDetector Category=Dense, Input Frames=Single-frame2022.1267.4——————65.6———68.6—67.9————
Voxel-DETRDetector Category=Sparse, Input Frames=Single-frame2022.1267.275.474.967.877.670.569.763.171.770.56967.968.866.1————
CenterPointNumber of input frames=22023.1267.2——67.7——7167.5——71.570.5—68.4————
CenterPointNumber of input frames=12023.1266.2——66.7——68.362.6——68.767.6—65.5————
SST-CenterNumber of input frames=12023.1266.2——66.6——72.465——68.967.6—66.3————
SSTNumber of input frames=32023.1266.1——66.5——76.272.3——73.672.8—70.4————
VoxSetNumber of input frames=12023.1265.6——66——72.565.4——6967.7—66.2————
TransFusion-LDetector Category=Sparse, Input Frames=Single-frame2022.1265.1——————63.7———65.9—64.9————
SSTNumber of input frames=12023.1264.4——64.8——71.763——6866.9—64.8————
BoxeR-3DDetector Category=Sparse, Input Frames=Single-frame2022.1263.770.47063.964.753.561.553.750.248.9————————
SECONDReference=Sensors 2018, Implementation=re-implemented2019.1263.3372.2771.6963.8568.758.1860.7251.3160.6259.2858.3457.05——————
PointPillarsNumber of input frames=12023.1263.1——63.6——62.850.3——61.959.9—57.8————
BA-DetTemporal Information=true2023.03——————————————1,6601,645409.3405.1
BA-DetTemporal Information=true2023.03————————————————1,5571,544
BEVFormerTemporal Information=true2023.03———————————————770—308
BEVFormerTemporal Information=true2023.03—————————————————690
CaDDNTemporal Information=false2023.03——————————————503499175.4173.1
CaDDNTemporal Information=false2023.03————————————————449445
DCDTemporal Information=false2023.03——————————————1,2571,250334.4332.4
DCDTemporal Information=false2023.03————————————————1,1781,172
DEVIANTTemporal Information=false2023.03——————————————269267109.8108.9
DEVIANTTemporal Information=false2023.03————————————————252250
DID-M3DTemporal Information=false2023.03————————————————206.6204.7
DID-M3DTemporal Information=false2023.03————————————————19.3719.19
GUPNetTemporal Information=false2023.03——————————————228227100.299.4
GUPNetTemporal Information=false2023.03————————————————214212
M3D-RPNTemporal Information=false2023.03——————————————353437.936.3
M3D-RPNTemporal Information=false2023.03————————————————3333
MonoFlexTemporal Information=false, Baseline=true2023.03——————————————1,1701,164322.6320.6
MonoFlexTemporal Information=false, Baseline=true2023.03————————————————1,0961,090
MonoJSGTemporal Information=false2023.03——————————————979556.554.7
MonoJSGTemporal Information=false2023.03————————————————9189
MVFReference=CORL 2019, Dataset Version=1.02019.12—62.93——65.33—————————————
PatchNetTemporal Information=false2023.03——————————————393729.227.4
PatchNetTemporal Information=false2023.03————————————————3836
PCTTemporal Information=false2023.03——————————————89884241.5
PCTTemporal Information=false2023.03————————————————6666
PointPillarReference=CVPR 2019, Dataset Version=1.02019.12—56.62——59.25—————————————
StarNetReference=NeurIPSw 2019, Dataset Version=1.02019.12—53.7——66.8—————————————