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Bird's Eye View Object Detection on KITTI (val)

92.92AP BEV (Moderate)SA-SSD+EBM
1.680825.367949.05572.7421Nov 20, 2018Mar 24, 2019Jul 27, 2019Nov 29, 2019Apr 2, 2020Aug 5, 2020Dec 8, 2020

Evaluation results

MethodLinks
SA-SSD+EBMrefinement=gradient-based refinement (Algorithm 1)2020.1292.92———————————————96.690.43————
SA-SSDmodel_source=pre-trained model provided by authors2020.1292.84———————————————96.5690.36————
CLOCS-PVCas2020.1291.98———————————————93.4889.48————
PV-RCNN2020.1291.11———————————————95.7688.93————
IPODrepresentation=BEV2018.1286.4———————————————88.384.6————
VoxelNetrepresentation=BEV2018.1284.81———————————————89.678.57————
F-PointNetrepresentation=BEV2018.1284.02———————————————88.1676.44————
MV3D (LiDAR)Modality=LiDAR2020.0177.32———————————————86.1876.33————
PL++: P-RCNN*Modality=Stereo, Extra Data=Scene Flow2020.0164———————————————8257.3————
DSGNModality=Stereo2020.0163.91———————————————83.2457.83————
PL++: AVOD*Modality=Stereo, Extra Data=Scene Flow2020.0163.7———————————————7756————
PL++: PIXOR*Modality=Stereo, Extra Data=Scene Flow2020.0161.1———————————————79.754.5————
PL: AVOD*Modality=Stereo, Extra Data=Scene Flow2020.0156.8———————————————74.949————
PL: F-PointNet*Modality=Stereo, Extra Data=Scene Flow2020.0151.8———————————————72.833.5————
Stereo R-CNN*Modality=Stereo, Pre-training=ImageNet2020.0148.3———————————————68.541.5————
MonoGRNetModality=Mono2020.0128.39———————————————43.7523.87————
AM3DModality=Mono2020.0128.39———————————————43.7523.87————
TriangulationModality=Stereo2020.0121.88———————————————29.2218.83————
M3D-RPNModality=Mono2020.0121.18———————————————25.9417.9————
MLFModality=Mono2020.0119.54—————————————————————
3DOPModality=Stereo2018.119.49———————————————12.637.59————
3DOPModality=Stereo2020.019.49———————————————12.637.59————
OFT-NetModality=Mono2018.118.79———————————————11.068.91————
OFT-NetModality=Mono2020.018.79———————————————11.068.91————
Mono3DModality=Mono2018.115.19———————————————5.224.13————
3DOPModality=Stereo2017.11—12.639.497.59——————————————————
3DOPInput=Image2018.02——————————55.0441.2534.5512.639.497.59——————
3DOPSensor=Stereo2019.02——————————55.0441.2534.5512.639.497.59——————
Deep3DBoxInput=Image2018.02——————————29.9624.9119.469.017.946.57——————
Deep3DBoxSensor=Mono2019.02——————————30.0223.7718.839.997.715.3——————
HC-baselineModality=LiDAR2017.11—88.2678.4277.6658.9653.7951.4763.6342.7541.06————————————
Mono3DModality=Mono2017.11—5.225.194.13——————————————————
Mono3DInput=Image2018.02——————————30.522.3919.165.225.194.13——————
Mono3DSensor=Mono2019.02——————————30.522.3919.165.225.194.13——————
Multi-FusionSensor=Mono2019.02——————————55.0236.7331.2722.0313.6311.6——————
Multi-FusionSensor=Stereo2019.02———————————53.56——19.54———————
MVModality=LiDAR, Input=BV+FV2017.11—86.1877.3276.33——————————————————
MVModality=LiDAR+Mono, Input=BV+FV+RGB2017.11—86.5578.176.67——————————————————
MV3DInput=Fusion2018.02——————————96.3489.3988.6786.5578.176.67——————
Proposed Pipeline (MS-CNN)Backbone=MS-CNN, Input=Point Clouds2018.02——————————90.3688.4684.7582.1777.1574.42——————
Proposed Pipeline (PC-CNN)Backbone=PC-CNN, Input=Point Clouds2018.02——————————88.3183.7479.6283.6177.3669.61——————
Stereo R-CNNSensor=Stereo2019.02——————————87.1374.1158.9368.548.341.47——————
VeloFCNModality=LiDAR2017.11—40.1432.0830.47——————————————————
VeloFCNInput=LiDAR2018.02——————————79.6863.8262.840.1432.0830.47——————
VeloFCNSensor=LiDAR2019.02——————————79.6863.8262.840.1432.0830.47——————
VoxelNetModality=LiDAR2017.11—89.684.8178.5765.9561.0556.9874.4152.1850.49————————————