Object Detection On Kitti Cars Easy
Metrics
AP
Results
Performance results of various models on this benchmark
Model Name | AP | Paper Title | Repository |
|---|---|---|---|
| PointRCNN Shi et al. (2019) | 85.94 | PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud | |
| Patches | 87.87 | Patch Refinement -- Localized 3D Object Detection | - |
| VeloFCN | 60.34 | Vehicle Detection from 3D Lidar Using Fully Convolutional Network | - |
| Roarnet | 83.71 | RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement | - |
| Vote3Deep | 76.79 | Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks | - |
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