Multimodal Forecasting on TimeMMD Traffic
0.157MSEAurora
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AuroraTraining Protocol=10% few-shot, Model Category=Foundation Model2025.09 | 0.157 | 0.29 | |
| AuroraTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.161 | 0.289 | |
| TATSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.179 | 0.238 | |
| GPT4MTSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.203 | 0.261 | |
| Time-VLMTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.216 | 0.319 | |
| CALFTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.222 | 0.293 | |
| SundialTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.271 | 0.405 | |
| VisionTSTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.281 | 0.407 | |
| ROSETraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.341 | 0.451 | |
| MOIRAITraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.406 | 0.468 |