| []() | | 80.38 % | TRTConv | |
| 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection | ✓ Link | 79.39% | 3D Dual-Fusion | 2022-11-24 |
| GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation | ✓ Link | 78.43% | GLENet-VR | 2022-07-06 |
| PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection | ✓ Link | 77.15% | PV-RCNN++ | 2021-01-31 |
| SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud | ✓ Link | 77.15% | SE-SSD | 2021-04-20 |
| Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection | ✓ Link | 77.06 | Voxel R-CNN | 2020-12-31 |
| M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers | ✓ Link | 76.96% | M3DeTR | 2021-04-24 |
| PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection | ✓ Link | 76.82% | PV-RCNN | 2019-12-31 |
| STD: Sparse-to-Dense 3D Object Detector for Point Cloud | | 76.06% | STD | 2019-07-22 |
| PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection | | 75.54% | PC-RGNN | 2020-12-18 |
| SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds | | 74.63% | SVGA-Net | 2020-06-07 |
| Joint 3D Instance Segmentation and Object Detection for Autonomous Driving | | 74.30% | Joint | 2020-06-01 |
| CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud | ✓ Link | 72.87 | CIA-SSD | 2020-12-05 |
| Accurate 3D Object Detection using Energy-Based Models | ✓ Link | 72.78% | SA-SSD+EBM | 2020-12-08 |
| PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement | | 70.60% | PointRGCN | 2019-11-27 |
| Multi-Task Multi-Sensor Fusion for 3D Object Detection | | 68.41% | UberATG-MMF | 2020-12-22 |
| Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection | ✓ Link | 68.08% | F-ConvNet | 2019-03-05 |
| PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud | ✓ Link | 67.86% | PointRCNN | 2018-12-11 |
| Joint 3D Proposal Generation and Object Detection from View Aggregation | ✓ Link | 66.38% | AVOD + Feature Pyramid | 2017-12-06 |
| IPOD: Intensive Point-based Object Detector for Point Cloud | | 66.33% | IPOD | 2018-12-13 |
| A General Pipeline for 3D Detection of Vehicles | | 64.83% | PC-CNN-V2 | 2018-02-12 |
| Frustum PointNets for 3D Object Detection from RGB-D Data | ✓ Link | 62.19% | Frustum PointNets | 2017-11-22 |
| RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement | | 59.16% | RoarNet | 2018-11-09 |
| VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection | ✓ Link | 57.73% | VoxelNet | 2017-11-17 |
| Probabilistic and Geometric Depth: Detecting Objects in Perspective | ✓ Link | 9.39% | PGD | 2021-07-29 |