Multimodal Forecasting on TimeMMD Agriculture
0.212MSEAurora
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AuroraTraining Protocol=10% few-shot, Model Category=Foundation Model2025.09 | 0.212 | 0.293 | |
| TATSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.215 | 0.301 | |
| GPT4MTSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.225 | 0.298 | |
| Time-VLMTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.237 | 0.302 | |
| CALFTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.25 | 0.315 | |
| AuroraTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.272 | 0.348 | |
| MOIRAITraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.272 | 0.403 | |
| VisionTSTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.29 | 0.336 | |
| ROSETraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.345 | 0.372 | |
| SundialTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.373 | 0.392 |