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 1571–1576 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 | EA-LSS | NDS | 0.78 | — | Unverified |
| 2 | MMFusion-e | NDS | 0.77 | — | Unverified |
| 3 | MegFusion | NDS | 0.77 | — | Unverified |
| 4 | RacoonPower | NDS | 0.76 | — | Unverified |
| 5 | BEVFusion-e | NDS | 0.76 | — | Unverified |
| 6 | DeepInteraction-large | NDS | 0.76 | — | Unverified |
| 7 | DeepInteraction-e | NDS | 0.76 | — | Unverified |
| 8 | DAA | NDS | 0.75 | — | Unverified |
| 9 | FusionVPE | NDS | 0.75 | — | Unverified |
| 10 | CenterPoint-Fusion | NDS | 0.75 | — | Unverified |