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fMoW

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationfMoW
Accuracy81.7
18
Remote Sensing ClassificationfMoW
Top-1 Accuracy56.56
15
Image ClassificationfMoW (test)
Top-1 Accuracy74.3
15
Image ClassificationfMoW (val)
F1 Score67.34
14
Image ClassificationfMoW-RGB
Top-1 Acc69.2
12
Image ClassificationFMoW WILDS (test)
WC Accuracy46.4
10
Image ClassificationFMoW-WILDS out-of-distribution (val)
Accuracy59.2
10
Scene ClassificationfMoW-S2 (test)
Top-1 Accuracy64.38
9
Image ClassificationFMOW ID
Accuracy68.6
9
Infrastructure classificationFMOW WILDS (test)
Average Accuracy74.8
9
ClassificationfMoW-RGB (val)
Top-1 Accuracy78.14
8
Image ClassificationfMoW-Sentinel (val)
Top-1 Accuracy63.23
8
Temporal ClassificationfMoW (test)
F1 Score70.11
8
Satellite Image ClassificationFMoW OOD WILDS (test)
Worst-Region Accuracy34.6
7
Image ClassificationFMOW-WILDS
WG Error6.8
7
OOD accuracy predictionfMoW-WILDS
MAE0.013
6
Super-ResolutionfMoW-Sentinel2 crop field dataset
SSIM0.3905
6
Infrastructure classificationFMOW-WILDS (val)
Average Accuracy0.599
5
Scene ClassificationfMoW Temporal
Accuracy70.03
4
Object ClassificationfMoW-S2 (test)
Head Acc46.8
4
Image ClassificationFMoW OOD WILDS (test)
Top-1 Acc52.9
4
Image ClassificationFMoW ID WILDS (val)
Top-1 Accuracy60.5
4
Image ClassificationFMoW (OOD)
Accuracy41.2
3
Image Representation LearningfMoW (test)
MSE0.3
3
Unconditional Image GenerationfMoW (test)
FID37.74
3
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