| []() | | 91.90 % | TRTConv | |
| GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation | ✓ Link | 91.67% | GLENet-VR | 2022-07-06 |
| SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud | ✓ Link | 91.49% | SE-SSD | 2021-04-20 |
| Accurate 3D Object Detection using Energy-Based Models | ✓ Link | 91.05% | SA-SSD+EBM | 2020-12-08 |
| 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection | ✓ Link | 91.01% | 3D Dual-Fusion | 2022-11-24 |
| SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation | | 90.5% | SPG | 2021-08-15 |
| M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers | ✓ Link | 90.28% | M3DeTR | 2021-04-24 |
| PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection | ✓ Link | 90.25% | PV-RCNN | 2019-12-31 |
| PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection | ✓ Link | 90.14% | PV-RCNN++ | 2021-01-31 |
| CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud | ✓ Link | 89.59% | CIA-SSD | 2020-12-05 |
| PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection | | 89.13% | PC-RGNN | 2020-12-18 |
| Joint 3D Instance Segmentation and Object Detection for Autonomous Driving | | 87.74% | Joint | 2020-06-01 |
| SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds | | 87.33% | SVGA-Net | 2020-06-07 |
| Multi-Task Multi-Sensor Fusion for 3D Object Detection | | 86.81% | UberATG-MMF | 2020-12-22 |
| STD: Sparse-to-Dense 3D Object Detector for Point Cloud | | 86.61% | STD | 2019-07-22 |
| PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement | | 85.97% | PointRGCN | 2019-11-27 |
| Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection | ✓ Link | 85.88% | F-ConvNet | 2019-03-05 |
| A General Pipeline for 3D Detection of Vehicles | | 84.33% | PC-CNN-V2 | 2018-02-12 |
| PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud | ✓ Link | 84.32% | PointRCNN | 2018-12-11 |
| RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement | | 83.71% | RoarNet | 2018-11-09 |
| Joint 3D Proposal Generation and Object Detection from View Aggregation | ✓ Link | 81.94% | AVOD + Feature Pyramid | 2017-12-06 |
| Frustum PointNets for 3D Object Detection from RGB-D Data | ✓ Link | 81.2% | Frustum PointNets | 2017-11-22 |
| IPOD: Intensive Point-based Object Detector for Point Cloud | | 79.75% | IPOD | 2018-12-13 |
| PointPillars: Fast Encoders for Object Detection from Point Clouds | ✓ Link | 79.05% | PointPillars | 2018-12-14 |
| VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection | ✓ Link | 77.47% | VoxelNet | 2017-11-17 |
| Probabilistic and Geometric Depth: Detecting Objects in Perspective | ✓ Link | 19.05% | PGD | 2021-07-29 |