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Out-of-Distribution Detection on SVHN vs CIFAR-100 (test)

99.92AUROCSPEM
22.64842.70962.7782.831Apr 15, 2024Aug 4, 2024Nov 23, 2024Mar 14, 2025Jul 3, 2025Oct 22, 2025Feb 10, 2026

Evaluation results

MethodLinks
SPEMFlow Model=ResFlow, Feature Extractor=ResNet-152, Hyperparameter alpha=0.42026.0299.92—
SPEM-noiseFlow Model=ResFlow, Feature Extractor=ResNet-152, Hyperparameter alpha=0.12026.0299.9—
lambda (Similarity-only)2026.0299.9—
Typicality (sqrt(d))Flow Model=ResFlow2026.0299.54—
LikelihoodFlow Model=ResFlow2026.0299.5—
GMMFlow Model=ResFlow2026.0298.99—
Typicality (Entropy)Flow Model=ResFlow2026.0298.93—
ComplexityFlow Model=ResFlow2026.0298.9—
LIDFlow Model=ResFlow2026.0298.6—
Likelihood RatioFlow Model=ResFlow2026.0294.18—
REGrad*layer-selective=true, perturbation=true2024.0490.3788.83
ExGrad V Term2024.0489.1987.4
Entropy2024.0489.0987.25
LA2024.0488.7786.06
Perturb θ2024.0488.7585.83
Exgrad2024.0488.2585.21
Inserted Dropout2024.0486.9682.4
Perturb x2024.0473.9662.27
MC-AA2024.0472.7562.55
UNGrad2024.0468.3468.95
NEGrad2024.0430.9339.38
GradNorm2024.0425.6237.26