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OOD Detection on ImageNet OOD Aggregate Average

0.8839AUROCMahaVar
0.4362840.5524920.66870.784908May 14, 2026

Evaluation results

MethodLinks
MahaVarBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.88390.4519
Mahalanobis++Backbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.8750.479
NNGuideBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.8610.5685
ViMBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.85660.551
NCI+filterBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.84830.5801
GENBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.84270.6059
fDBDBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.84170.6212
NCIBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.83530.6348
KNNBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.83110.6355
ReActBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.82370.632
KL-matchingBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.82110.645
MSPBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.80390.6688
MahalanobisBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.80030.6309
MaxLogitBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.77740.6588
SCALEBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.74040.6646
EnergyBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.73320.7072
ASH-SBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.050.45350.794