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OOD Detection on ImageNet far-OOD (Textures)

27.78FPR@95DynProto
24.945244.080163.21582.3499Apr 26, 2026Apr 29, 2026May 2, 2026May 5, 2026May 8, 2026May 11, 2026May 14, 2026

Evaluation results

MethodLinks
DynProtoBackbone=Swin-B2026.0427.7889.78
ViMBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0537.0991.06
Mahalanobis++Backbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0537.6291.9
MahaVarBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0538.0991.87
KNNBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0539.3191.19
NNGuideBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0540.9890.7
NCI+filterBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0545.1988.95
CADRefBackbone=Swin-B2026.0447.3889.08
fDBDBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0550.3588.29
SCALEBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0551.0981.21
NCIBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0551.6887.72
ReActBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0552.4586.78
MahalanobisBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0552.5188.09
GENBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0554.8386
MaxLogitBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0557.7880.66
ReActBackbone=Swin-B2026.0457.8384.07
EnergyBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.055978.45
OptFSBackbone=Swin-B2026.0461.6885.1
DICEBackbone=Swin-B2026.0463.2273.15
KL-matchingBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0563.6183.5
MSPBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0563.9380.73
VIMBackbone=Swin-B2026.0464.6483.96
EnergyBackbone=Swin-B2026.0465.9569.58
MSPBackbone=Swin-B2026.0466.278.46
ASH-SBackbone architectures=Average of ResNet-50, Swin-B, and ViT-B2026.0570.1450.15
ASH-SBackbone=Swin-B2026.0498.6518.41