Fine Grained Urban Flow Inference On Taxibj
Métriques
MAE
MAPE
MSE
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | MAE | MAPE | MSE | Paper Title | Repository |
|---|---|---|---|---|---|
| HA | 2.251 | 0.336 | 22.4770 | UrbanFM: Inferring Fine-Grained Urban Flows | |
| UrbanFM | 2.011 | 0.327 | 15.6025 | UrbanFM: Inferring Fine-Grained Urban Flows | |
| SRResNet | 2.457 | 0.713 | 17.3388 | UrbanFM: Inferring Fine-Grained Urban Flows | |
| VDSR | 2.213 | 0.467 | 17.2972 | UrbanFM: Inferring Fine-Grained Urban Flows | |
| UrbanFM-ne | 2.047 | 0.332 | 16.1202 | UrbanFM: Inferring Fine-Grained Urban Flows | |
| ESPCN | 2.497 | 0.732 | 17.6904 | UrbanFM: Inferring Fine-Grained Urban Flows | |
| STCF | - | - | 14.9232 | Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference | |
| DeepSD | 2.368 | 0.614 | 17.2723 | UrbanFM: Inferring Fine-Grained Urban Flows | |
| SRCNN | 2.491 | 0.714 | 18.4642 | UrbanFM: Inferring Fine-Grained Urban Flows |
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