fMoW
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | fMoW (val) | Accuracy79.3 | 34 | |
| Image Classification | fMoW | Accuracy81.7 | 21 | |
| Remote Sensing Classification | fMoW | Top-1 Accuracy56.56 | 15 | |
| Image Classification | FMOW ID | Accuracy68.6 | 15 | |
| Image Classification | fMoW (test) | Top-1 Accuracy74.3 | 15 | |
| Satellite image generation | FMoW | FID32.11 | 13 | |
| Post-deployment performance monitoring | FMoW Temporal Shift | R2 Score0.869 | 12 | |
| AI-generated image detection | FMoW (test) | F1 Score (Fake Class)99.88 | 12 | |
| Image Classification | fMoW-RGB | Top-1 Acc69.2 | 12 | |
| Image Classification | FMoW WILDS (test) | WC Accuracy46.4 | 10 | |
| Image Classification | FMoW-WILDS out-of-distribution (val) | Accuracy59.2 | 10 | |
| Scene Classification | fMoW-S2 (test) | Top-1 Accuracy64.38 | 9 | |
| Infrastructure classification | FMOW WILDS (test) | Average Accuracy74.8 | 9 | |
| Classification | fMoW-RGB (val) | Top-1 Accuracy78.14 | 8 | |
| Image Classification | fMoW-Sentinel (val) | Top-1 Accuracy63.23 | 8 | |
| Temporal Classification | fMoW (test) | F1 Score70.11 | 8 | |
| Satellite Image Classification | FMoW OOD WILDS (test) | Worst-Region Accuracy34.6 | 7 | |
| Image Classification | FMOW-WILDS | WG Error6.8 | 7 | |
| OOD accuracy prediction | fMoW-WILDS | MAE0.013 | 6 | |
| Super-Resolution | fMoW-Sentinel2 crop field dataset | SSIM0.3905 | 6 | |
| Infrastructure classification | FMOW-WILDS (val) | Average Accuracy0.599 | 5 | |
| Scene Classification | fMoW Temporal | Accuracy70.03 | 4 | |
| Object Classification | fMoW-S2 (test) | Head Acc46.8 | 4 | |
| Image Classification | FMoW OOD WILDS (test) | Top-1 Acc52.9 | 4 | |
| Image Classification | FMoW ID WILDS (val) | Top-1 Accuracy60.5 | 4 |
Showing 25 of 29 rows