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FashionMNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFashionMNIST (test)
Accuracy94.83
218
Image ClassificationFashionMNIST
Accuracy96.93
147
Anomaly DetectionFashionMNIST (test)
ROCAUC0.959
35
Poisoning Attack MitigationFashionMNIST
F1 Score87.8
19
Out-of-Distribution DetectionFashionMNIST (test)
AUROC0.917
14
Image ReconstructionFashionMNIST (test)
MSE0.403
12
Deep Active LearningFashionMNIST
AUBC0.7812
12
Image modelingFashionMNIST (test)
FID52
12
Fine-grained accuracy control attackFashionMNIST
Control Error Rate0.59
10
Image ClassificationFashionMNIST OOD: MNIST (test)
AUROC (H)0.971
10
Denoising AutoencodingFashionMNIST
PSNR24.91
10
Novelty DetectionFashionMNIST [0,2,3,7,8] (ID) vs [1,4,5,6,9] (OOD) (unlabeled set)
AUROC95
10
Image ClassificationFashionMNIST IDN-50%
Accuracy78.19
9
Image ClassificationFashionMNIST IDN-45%
Accuracy88.75
9
Image ClassificationFashionMNIST IDN-40%
Accuracy90.01
9
Image ClassificationFashionMNIST IDN-30%
Accuracy90.68
9
Image ClassificationFashionMNIST IDN-20%
Accuracy91.58
9
ClassificationFashionMNIST linf, epsilon=0.3 (test)
Robust Accuracy (FGSM)96.34
8
ClassificationFashionMNIST (l2, epsilon=2) (test)
PGD (100) Robust Accuracy82.91
8
ClassificationFashionMNIST l1, epsilon=10 (test)
Clean Accuracy92.56
8
ClassificationFASHIONMNIST
Empirical Risk12.6
8
Out-of-Distribution DetectionFashionMNIST (ID) vs Rotation (avg) (OoD)
AUROC79
8
Out-of-Distribution DetectionFASHIONMNIST vs Rotation (test)
AUROC0.9
8
Image ClassificationFashionMNIST-10 (test)
Test Accuracy72.11
6
Federated LearningFashionMNIST
Computational Time (s)0.019
5
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