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Fashion MNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFashion MNIST (test)
Accuracy96.35
568
Image ClassificationFashion MNIST
Accuracy96.91
225
ClusteringFashion-MNIST
NMI80
95
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
ClassificationFashion MNIST
AUC89.6
25
Stimulus EncodingFashion-MNIST
SSIM97
24
Image ClassificationRotated Fashion MNIST (target domains 0° and 90°)
Accuracy81.6
21
Federated UnlearningFashion-MNIST
Pre-training Accuracy65.93
20
Federated UnlearningFashion-MNIST (test)
Pre-training Accuracy99.2
20
Federated Image ClassificationFashion-MNIST (test)
Accuracy82.4
20
Image ClassificationFashion-MNIST standard (test)
Accuracy96.3
18
Deep ClusteringFashion-MNIST
Execution Time (s)732
18
ClusteringFashion-MNIST standard (test)
ARI65.8
17
Image ClassificationFashion-MNIST (train)
Accuracy (Train)100
17
Image ClassificationFashion-MNIST
Accuracy96.1
16
Showing 25 of 121 rows