3D Object Detection On Kitti Cars Easy Val

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AP	Paper Title	Repository
Voxel R-CNN	89.41	Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
MV3D	71.29	Multi-View 3D Object Detection Network for Autonomous Driving
PGD	24.35	Probabilistic and Geometric Depth: Detecting Objects in Perspective
SVGA-Net	90.59	SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds	-
SA-SSD+EBM	95.45	Accurate 3D Object Detection using Energy-Based Models
F-PointNet [Qi:2018fd]	83.26	Frustum PointNets for 3D Object Detection from RGB-D Data
PVCNN	84.02	Point-Voxel CNN for Efficient 3D Deep Learning
PV-RCNN++	92.57	PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
MV3D (LiDAR)	71.19	Multi-View 3D Object Detection Network for Autonomous Driving
M3DeTR	92.29	M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
PC-RGNN	90.94	PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection	-

0 of 11 row(s) selected.