3D Object Detection On Kitti Cars Moderate 1

Results

Performance results of various models on this benchmark

		Paper Title	Repository
SA-SSD+EBM	86.83	Accurate 3D Object Detection using Energy-Based Models
M3DeTR	85.41	M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
PV-RCNN++	84.83	PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Voxel R-CNN	84.52	Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Deformable PV-RCNN	83.3	Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
PC-RGNN	81.43	PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection	-
SVGA-Net	80.23	SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds	-
PVCNN	71.54	Point-Voxel CNN for Efficient 3D Deep Learning
F-PointNet [Qi:2018fd]	69.28	Frustum PointNets for 3D Object Detection from RGB-D Data
MV3D	62.68	Multi-View 3D Object Detection Network for Autonomous Driving
PGD	18.34	Probabilistic and Geometric Depth: Detecting Objects in Perspective

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