Fire Spread Prediction on Google dataset 16 (test)
87.6PrecisionTD-FusionUNet (base=8)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| TD-FusionUNet (base=8)Parameters=93k, Preprocessing=Customized2026.02 | 87.6 | 58.6 | 55.5 | 70.2 | |
| 2D-HT-UNetParameters=45k, Preprocessing=Customized2026.02 | 73.7 | 60.6 | 43.3 | 66.5 | |
| 2D-CNN AutoencoderParameters=78k, Preprocessing=Customized2026.02 | 58.8 | 65.8 | 38.2 | 62.1 | |
| 2D-HT-UNetParameters=45k, Preprocessing=Standard2026.02 | 57.1 | 45.3 | 18.8 | 50.5 | |
| 2D-CNN AutoencoderParameters=78k, Preprocessing=Standard2026.02 | 34.6 | 37.3 | 15.3 | 35.9 |