3D Multi Object Tracking On Nuscenes Camera 2
Metrics
AMOTA
Results
Performance results of various models on this benchmark
Model Name | AMOTA | Paper Title | Repository |
|---|---|---|---|
| CR3DT | 0.355 | CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking | - |
| CRN | 0.569 | CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception | - |
| HyDRa | 0.584 | Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception | - |
| SpaRC | 0.631 | SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection | - |
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