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 | M3DeTR | AP | 82.85 | — | Unverified |
| 2 | PV-RCNN++ | AP | 82.69 | — | Unverified |
| 3 | SA-SSD+EBM | AP | 82.23 | — | Unverified |
| 4 | PC-RGNN | AP | 80.45 | — | Unverified |
| 5 | SVGA-Net | AP | 79.15 | — | Unverified |
| 6 | Voxel R-CNN | AP | 78.93 | — | Unverified |
| 7 | PVCNN | AP | 63.81 | — | Unverified |
| 8 | F-PointNet [Qi:2018fd] | AP | 62.56 | — | Unverified |
| 9 | MV3D | AP | 56.56 | — | Unverified |
| 10 | PGD | AP | 16.9 | — | Unverified |