ETH
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Trajectory Prediction | ETH UCY (test) | ADE0.17 | 65 | |
| Pedestrian trajectory prediction | ETH | ADE0.39 | 45 | |
| Trajectory Forecasting | ETH | FDE0.59 | 42 | |
| Point Cloud Registration | ETH | Success Rate100 | 38 | |
| Trajectory Prediction | ETH v1.0 (test) | ADE0.39 | 33 | |
| Pedestrian Trajectory Prediction | ETH (test) | ADE0.19 | 29 | |
| Trajectory Prediction | ETH (test) | ADE0.35 | 27 | |
| Trajectory Prediction | ETH | minADE200.28 | 24 | |
| Feature Matching | ETH dataset (test) | FMR (Gazebo Summer)22.8 | 23 | |
| Trajectory Prediction | ETH (test) | ADE (4.8s)0.35 | 12 | |
| Feature Matching | ETH 4-scenes | FMR22.1 | 10 | |
| Trajectory Forecasting | ETH scene UCY | MAD0.22 | 10 | |
| Point Cloud Registration | ETH generalization from KITTI (test) | RTE (cm)5.25 | 9 | |
| Feature Matching | ETH 8-scenes | FMR75 | 8 | |
| 3D Point Cloud Registration | ETH (test) | FMR (tc=0.1m, tr=0.2m)92 | 7 | |
| 3D local descriptor matching | ETH outdoor | Gazebo Sum Match Rate91.3 | 7 | |
| Pedestrian Detection | ETH | MR30 | 7 | |
| Driving Scene Prediction | ETH | PSNR28.4 | 5 | |
| Trajectory Prediction | ETH | ADE0.8 | 5 | |
| Feature Matching | ETH dataset | Accuracy (Gazebo Summer)91.3 | 5 | |
| Long-term Time Series Forecasting | ETH | MSE0.061 | 4 | |
| Point Cloud Registration | ETH Generalization (Gazebo & Wood) (test) | FMR (Gazebo Summer)46.7 | 4 | |
| Human Trajectory Forecasting | ETH (test) | Ravg84.4 | 3 | |
| Crowd behavior generation | ETH (test) | Density0.054 | 3 | |
| Point Cloud Registration | ETH | RR (tr=0.05m)92.3 | 3 |
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