Waymo
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Object Detection | Waymo (val) | Vehicle L2 AP70.9 | 38 | |
| Monocular 3D Detection | Waymo (val) | AP3D (All)17.54 | 24 | |
| 3D Object Detection | Waymo to KITTI (val) | AP BEV95.54 | 20 | |
| 3D Object Detection | Waymo LEVEL 2 | AP 3D Overall12.92 | 18 | |
| Scene Flow Estimation | Waymo Open Dataset (val) | EPE0.0433 | 17 | |
| 3D Object Detection | Waymo Vehicle, Level 1 (val) | AP3D (All)13.53 | 16 | |
| Novel Trajectory View Synthesis | Waymo Lane Change | NTA IoU0.558 | 16 | |
| Pointmap Estimation | Waymo (test) | AbsRel0.083 | 15 | |
| 3D Multi-Object Tracking | Waymo (test) | MOTA75.05 | 15 | |
| Depth Completion | Waymo from KITTI | MAE (mm)466.44 | 15 | |
| Monocular 3D Object Detection | Waymo Level 1 (val) | AP3D (All)17.54 | 14 | |
| Trajectory Prediction | Waymo (test) | Cut-In5.1392 | 12 | |
| Trajectory Prediction | Waymo (test) | ADE (3s, top-1)1.2671 | 12 | |
| Video Tasks | Waymo | mIoU76.1 | 11 | |
| Depth Estimation | Waymo | RMSE2.83 | 11 | |
| 3D Semantic Segmentation | Waymo nuScenes source target 10 classes (val) | mIoU55.5 | 11 | |
| 3D Panoptic Segmentation | Panoptic Waymo (val) | PQ60.9 | 10 | |
| Classification | Waymo (test) | Average Accuracy64 | 9 | |
| New View Synthesis | Waymo (val) | PSNR (dB)26.32 | 9 | |
| 3D Semantic Segmentation | Waymo (test) | mIoU71.13 | 9 | |
| 3D Object Detection (Vehicle) | Waymo Level 2, IoU=0.5 (val) | AP3D (All)16.51 | 8 | |
| 3D Object Detection (Vehicle) | Waymo Level 1, IoU=0.5 (val) | AP3D (All)17.54 | 8 | |
| 3D Object Detection (Vehicle) | Waymo Level 1, IoU=0.7 (val) | 3D AP (All)5.03 | 8 | |
| 3D Object Detection | Waymo 1% label (val) | Vehicle (L1) AP61.5 | 8 | |
| Camera pose estimation | Waymo (held-out) | ATE0.737 | 8 |
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