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 | HyDRa | mAP | 60.9 | — | Unverified |
| 2 | HGSFusion | mAP | 58.96 | — | Unverified |
| 3 | LXL | mAP | 56.31 | — | Unverified |
| 4 | SMURF | mAP | 50.97 | — | Unverified |
| 5 | RadarNeXt | mAP | 50.48 | — | Unverified |
| 6 | RCBEVDet | mAP | 49.99 | — | Unverified |
| 7 | RCFusion | mAP | 49.7 | — | Unverified |
| 8 | BEVFusion R | mAP | 49.3 | — | Unverified |
| 9 | FUTR3D R | mAP | 49 | — | Unverified |
| 10 | RadarPillarNet | mAP | 46 | — | Unverified |