Share your thoughts, 1 month free Claude Pro on usSee more
WorkDL logo mark

fMNIST

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFMNIST (test)
Test Accuracy99.1
388
ClassificationFMNIST (test)
Accuracy99.06
152
Backdoor AttackFMNIST
ASR100
75
Image ClassificationFMNIST 0.5 (test)
Accuracy78.06
72
ClassificationFMNIST
Accuracy84.28
68
Image ClassificationFMNIST
Accuracy90.99
64
Backdoor Attack in Dataset CondensationFMNIST
CTA88.4
43
ClusteringFMNIST
ARI100
43
Dimensionality ReductionFMNIST
AUC R_NX Score76.48
42
Image ClassificationFMNIST
Accuracy (IID)84.842
33
Anomaly DetectionFMNIST
Avg AUROC0.956
29
Image ClassificationFMNIST ⊥
GM Score87.54
27
Out-of-Distribution DetectionFMNIST
OOD Score97.3
26
Image ClassificationFMNIST
Speedup69.24
21
Dimensionality ReductionFMNIST
AUC RNX0.7648
21
Stealthiness AssessmentFMNIST
PSNR60.11
20
Image ClassificationFMNIST
Accuracy92.54
20
KNN ClassificationFMNIST
Accuracy (k=1)87.47
20
Silhouette Score EvaluationFMNIST
Silhouette Score0.2315
20
KNN ClassificationFMNIST
Accuracy (k=5)88.3
20
Image ClassificationRotated FMNIST
Accuracy89.9
18
OOD DetectionFMNIST In-distribution: CIFAR100 (test)
AUPR (%)78.6
18
OOD DetectionFMNIST In-distribution: CIFAR10 (test)
AUPR92.5
18
Image ClassificationFMNIST Fourth Session Transition 1.0
Proposed Score85.82
16
Image ClassificationFMNIST 1.0 (Second Session Transition)
Proposed Accuracy85.17
16
Showing 25 of 90 rows