HOTEL
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Trajectory Prediction | Hotel ETH-UCY (test) | ADE0.11 | 58 | |
| Trajectory Prediction | HOTEL (test) | ADE (4.8s)0.12 | 49 | |
| Pedestrian trajectory prediction | Hotel | ADE0.12 | 45 | |
| Trajectory Prediction | HOTEL | ADE0.12 | 30 | |
| Trajectory Prediction | HOTEL v1.0 (test) | ADE0.3 | 29 | |
| Pedestrian Trajectory Prediction | HOTEL ETH (test) | ADE0.18 | 25 | |
| Trajectory Prediction | Hotel | Min ADE (20)0.11 | 24 | |
| Trajectory Forecasting | Hotel ETH scene (test) | ADE0.12 | 12 | |
| Crowd Simulation | HOTEL | MMD0.109 | 9 | |
| Trajectory Prediction | HOTEL | MAE0.2952 | 9 | |
| Trajectory Forecasting | HOTEL ETH UCY | ADEmin0.11 | 9 | |
| Text Classification | Hotel | Accuracy98.1 | 7 | |
| Trajectory Forecasting | Hotel ETH scene ETH+UCY | MAD0.18 | 5 | |
| Trajectory Forecasting | Hotel UCY | FDE0.177 | 4 | |
| Trajectory Forecasting | HOTEL | minK ADE0.13 | 4 | |
| Concept Comprehensibility Evaluation | Hotel | Semantics Score75 | 4 | |
| Concept Intruder Detection | Hotel | Accuracy76.7 | 4 | |
| Trajectory Forecasting | Hotel (test) | KDE NLL-1.94 | 4 | |
| Data-to-text generation | Hotel | BLEU0.5769 | 4 | |
| Crowd behavior generation | HOTEL (test) | Density0.151 | 3 |
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