Lyft
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Object Detection | Lyft (val) | AP (Car)40.62 | 22 | |
| 3D Object Detection | Lyft | mAP IoU@0.5 (0-30m)76.9 | 10 | |
| Object Detection | Lyft (test) | mAP IoU 0.25 (0-30m)81.8 | 9 | |
| Trajectory Prediction | Lyft Long-term nuS to Lyft shift (test-time) | mADE60.648 | 8 | |
| 3D Object Detection | Lyft to nuScenes Cross-domain | Source NDS0.702 | 8 | |
| Scene Flow Estimation | Lyft from FT3D | EPE0.1058 | 7 | |
| Scene Flow Estimation | Lyft from GTA-SF | EPE0.1058 | 7 | |
| 3D Object Detection | Lyft v1.0 (val) | AP BEV (0-30m)79.6 | 7 | |
| Trajectory Prediction | Lyft | ADE0.2 | 6 | |
| Object Segmentation | Lyft (val) | IoU (Vehicles)56 | 5 | |
| Trajectory Prediction | Lyft 5 sec. | ADE2.65 | 5 | |
| 3D Instance Prediction | Lyft-Level5 | VPQ_bb36.75 | 4 | |
| Future Instance Prediction | Lyft Long | IoU36.3 | 3 | |
| Future Instance Prediction | Lyft Short | IoU57.8 | 3 |
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