3D Object Detection
3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.
( Image credit: AVOD )
Papers
Showing 1–10 of 1576 papers
All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SA-SSD+EBM | AP | 86.83 | — | Unverified |
| 2 | M3DeTR | AP | 85.41 | — | Unverified |
| 3 | PV-RCNN++ | AP | 84.83 | — | Unverified |
| 4 | Voxel R-CNN | AP | 84.52 | — | Unverified |
| 5 | Deformable PV-RCNN | AP | 83.3 | — | Unverified |
| 6 | PC-RGNN | AP | 81.43 | — | Unverified |
| 7 | SVGA-Net | AP | 80.23 | — | Unverified |
| 8 | PVCNN | AP | 71.54 | — | Unverified |
| 9 | F-PointNet [Qi:2018fd] | AP | 69.28 | — | Unverified |
| 10 | MV3D | AP | 62.68 | — | Unverified |