CIFAR-100
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
CIFAR-100 (test)
76.92SA
22
CIFAR-100 OOD (test)
98.6AUROC
22
CIFAR-100 long-tailed (rho=100) (test)
55.6Accuracy
22
CIFAR-100 (test)
80.71Acc (Dr)
22
CIFAR-100 Split 1.0 (test)
27.99Accuracy
22
CIFAR-100 B0-S10 (test)
36.15Accuracy
22
CIFAR-100 In-distribution vs Smooth (OOD)
99.9AUC
22
CIFAR-100 50% random data forgetting
5.74MIA (Membership Inference Attack)
21
CIFAR-100 10 classes (Forget set)
75.9Accuracy
21
CIFAR-100 1 class (forget)
85.2Accuracy
21
CIFAR-100 1 class forget (Retain)
76.01Accuracy
21
CIFAR-100 (test)
0.758Accuracy
21
CIFAR-100 In-Dist FarOOD Aggregate
0.887AUROC
21
CIFAR-100 LT IR=10 (test)
68.1Accuracy
21
CIFAR-100 semantic noise (test)
68.44Accuracy
21
CIFAR-100-LT (Imbalance 20)
61.72Top-1 Accuracy
21
CIFAR-100-LT Imbalance 200
48.32Top-1 Accuracy
21
CIFAR-100 Sequential (test)
24.83Accuracy
21
CIFAR-100 30% Minority (test)
59.6Majority Accuracy
20
CIFAR-100 Dirichlet-0.05 (test)
65.56Accuracy
20
CIFAR-100 Animal Expert
18.11Error Rate
20
CIFAR-100 60 base classes 5-way 5-shot Session 5
87.35Accuracy
20
CIFAR-100 60 base classes 5-way 5-shot Session 3
87.55Accuracy
20
CIFAR-100 LT (test)
50.66Clean Accuracy
20
CIFAR-100 Long-Tailed (test)
55.55Clean Accuracy
20