Berlin
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Remote Sensing Image Classification | Berlin | Model Parameters (M)0.17 | 12 | |
| Land cover classification | Berlin dataset | Accuracy (Forest)90.2 | 11 | |
| Multimodal Remote Sensing Classification | Berlin 100 samples per class (train) | Class 1 Accuracy89.87 | 10 | |
| Urban Planning | Berlin | Service Score63.72 | 8 | |
| Novel View Synthesis | Berlin | PSNR27.85 | 8 | |
| Alignment | Berlin2-10 real (test) | MAE1.66 | 5 | |
| Alignment | Berlin1-10 real (test) | MAE4.53 | 5 | |
| Alignment | Berlin real 1 (test) | MAE2.64 | 5 | |
| Travelling Salesperson Problem | berlin52 | Optimality Gap (%)3.1 | 2 | |
| Urban morphology generation | Berlin OOD (test) | FID54.6 | 1 |
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