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 | TRTConv | AP | 80.38 | — | Unverified |
| 2 | 3D Dual-Fusion | AP | 79.39 | — | Unverified |
| 3 | GLENet-VR | AP | 78.43 | — | Unverified |
| 4 | PV-RCNN++ | AP | 77.15 | — | Unverified |
| 5 | Voxel R-CNN | AP | 77.06 | — | Unverified |
| 6 | M3DeTR | AP | 76.96 | — | Unverified |
| 7 | PC-RGNN | AP | 75.54 | — | Unverified |
| 8 | SVGA-Net | AP | 74.63 | — | Unverified |
| 9 | Joint | AP | 74.3 | — | Unverified |
| 10 | SA-SSD+EBM | AP | 72.78 | — | Unverified |