Birds Eye View Object Detection On Kitti Cars

Results

Performance results of various models on this benchmark

		Paper Title	Repository
SE-SSD	91.84%	SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
PV-RCNN	90.65%	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
CIA-SSD	89.84 %	CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
STD	87.76%	STD: Sparse-to-Dense 3D Object Detector for Point Cloud	-
Patches	86.55%	Patch Refinement -- Localized 3D Object Detection	-
PointPillars	86.1%	PointPillars: Fast Encoders for Object Detection from Point Clouds
AVOD-FPN	83.79%	Joint 3D Proposal Generation and Object Detection from View Aggregation
VoxelNet	79.26%	VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
PIXOR	77.05%	PIXOR: Real-time 3D Object Detection from Point Clouds

0 of 9 row(s) selected.