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3D Object Detection On Kitti Cars Easy

Metrics

AP

Results

Performance results of various models on this benchmark

Paper Title
TRTConv91.90 %-
GLENet-VR91.67%GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
SE-SSD91.49%SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
SA-SSD+EBM91.05%Accurate 3D Object Detection using Energy-Based Models
3D Dual-Fusion91.01%3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
SPG90.5%SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
M3DeTR90.28%M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
PV-RCNN90.25%PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
PV-RCNN++90.14%PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
CIA-SSD89.59%CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
PC-RGNN89.13%PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
Joint87.74%Joint 3D Instance Segmentation and Object Detection for Autonomous Driving
SVGA-Net87.33%SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
UberATG-MMF86.81%Multi-Task Multi-Sensor Fusion for 3D Object Detection
STD86.61%STD: Sparse-to-Dense 3D Object Detector for Point Cloud
PointRGCN85.97%PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement
F-ConvNet85.88%Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
PC-CNN-V284.33%A General Pipeline for 3D Detection of Vehicles
PointRCNN84.32%PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
RoarNet83.71%RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
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3D Object Detection On Kitti Cars Easy | SOTA | HyperAI