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Fashion MNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFashion MNIST (test)
Accuracy97.9
592
Image ClassificationFashion-MNIST
Accuracy100
300
Image ClassificationFashion MNIST
Accuracy98.8
240
ClusteringFashion-MNIST
NMI80
107
Image ClassificationFashion-MNIST
TER12
77
Image ClassificationFashion-MNIST (test)
Accuracy (%)96.93
55
Image ClassificationFashion-MNIST 50-client (Non-IID)
Error Rate11.2
49
Image ClassificationFashion-MNIST IID 50-client
Error Rate10.3
49
Image ClassificationFashion-MNIST uniform noise η=0.5 (7-fold CV)
Accuracy84.36
43
Image ClassificationFashion-MNIST uniform noise η=0.4 (7-fold CV)
Accuracy86.29
43
Image ClassificationFashion-MNIST uniform noise η=0.3 (7-fold CV)
Accuracy87.45
43
Image ClassificationFashion-MNIST uniform noise η=0.2 (7-fold CV)
Accuracy88.32
43
Image ClassificationFashion-MNIST uniform noise η=0.1 (7-fold CV)
Accuracy88.92
43
Model FingerprintingFashion-MNIST
AUC99.2
40
Anomaly DetectionFashion-MNIST
Avg AUC95.6
40
Image GenerationFashion-MNIST
FID1.49
38
Image ClassificationFashion-MNIST (val)
Accuracy95.56
37
VAE Log-Likelihood EstimationFashion MNIST (test)
Log-Likelihood-233.39
30
Generative ModelingFashion MNIST (train)
Log Likelihood (100 samples)-230.77
30
kNN ClassificationFashion-MNIST
Accuracy81.8
30
Federated Learning FairnessFashion MNIST (test)
Accuracy Variance1.005
28
Deep ClusteringFashion-MNIST (test)
SC0.922
28
Image ClassificationFashion-MNIST Dir(0.5) (test)
Accuracy90.49
28
Image ClassificationFashion-MNIST under sudden drift and Dir(0.1) 1.0 (test)
Accuracy (Generalized)87.63
28
Image ClassificationFashion-MNIST Dir(0.5)
Accuracy90.57
28
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