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 | Far3D | NDS | 68.7 | — | Unverified |
| 2 | RayDN | NDS | 68.6 | — | Unverified |
| 3 | HoP | NDS | 68.5 | — | Unverified |
| 4 | StreamPETR-Large | NDS | 67.6 | — | Unverified |
| 5 | SparseBEV (V2-99) | NDS | 67.5 | — | Unverified |
| 6 | VCD-A | NDS | 67.2 | — | Unverified |
| 7 | GeoBEV (V2-99) | NDS | 66.2 | — | Unverified |
| 8 | BEVFormer v2 (InternImage-XL) | NDS | 63.4 | — | Unverified |
| 9 | CAPE | NDS | 62.8 | — | Unverified |
| 10 | SA-BEV | NDS | 62.4 | — | Unverified |