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ResearchFormerly WizWand

OOD detection on SVHN (test)

0.998AUROCGeneralized (Neg)
0.562240.675370.78850.90163Aug 9, 2023Jan 16, 2024Jun 24, 2024Dec 1, 2024May 10, 2025Oct 17, 2025Mar 27, 2026
Updated 7mo ago

Evaluation results

MethodLinks
Generalized (Neg)Backbone=ResNet18-SimCLR, ID Dataset=STL102026.030.9980.1—
PIDBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.9956—2.08
PALMBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.9923—3.03
SCALE*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.040.98785.79—
Single (Neg)Backbone=ResNet18-SimCLR, ID Dataset=STL102026.030.9871.2—
fDBD*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.040.98676.05—
ReAct*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.040.98457.13—
GEN*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.040.98417.29—
MSP*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.040.98317.66—
KNN*Image Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=true2025.040.978111.44—
NPOSBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.9749—10.62
COMBOODBackbone=ResNet18-SimCLR, ID Dataset=STL102026.030.96717.8—
DMPLBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.9624—16.97
Generalized (Neg, InfoNCE)Backbone=ResNet18-SimCLR, ID Dataset=STL102026.030.95431.1—
CIDERBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.9517—22.95
BalCAL2025.040.949834.59—
SSD+Backbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.9419—31.19
Vanilla2025.040.938645.92—
TST2025.040.937342.15—
PLP2025.040.936444.78—
fDBDImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.040.929322.5—
kNN+Backbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.9278—39.23
KNNImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.040.926722.6—
CSIBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.9265—44.53
GENImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.040.919728.14—
MSPImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.040.914625.82—
D-KNNBackbone=ResNet18-SimCLR, ID Dataset=STL102026.030.90329.9—
ReActImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.040.891250.23—
EnergyBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.8525—66.91
SCALEImage Encoder=ResNet18, ID Dataset=CIFAR-10, ELogitNorm enhancement=false2025.040.849170.17—
ODINBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.8488—70.16
VimBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.8462—73.42
CE+AUCOCLOOD detector=ODIN2023.080.835——
VTST2025.040.83560.91—
CIDERBackbone=ResNet18-SimCLR, ID Dataset=STL102026.030.83241.7—
VOSBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.828—43.24
CE+AUCOCLOOD detector=MSP2023.080.8203——
AdaFLOOD detector=ODIN2023.080.8128——
FL+S-ECEOOD detector=ODIN2023.080.8117——
FL+AUCOCLOOD detector=MSP2023.080.8051——
AdaFLOOD detector=MSP2023.080.803——
MSPBackbone=ResNet-34, In-distribution (ID) Dataset=CIFAR-1002026.030.798—78.89
FL+S-AvUCOOD detector=MSP2023.080.7968——
FL+S-AvUCOOD detector=ODIN2023.080.7968——
FL+S-ECEOOD detector=MSP2023.080.7968——
CEOOD detector=ODIN2023.080.7942——
FL+AUCOCLOOD detector=ODIN2023.080.7935——
CE+S-AvUCOOD detector=ODIN2023.080.789——
CE+S-AvUCOOD detector=MSP2023.080.7804——
CE+S-ECEOOD detector=ODIN2023.080.7769——
FL+MMCEOOD detector=MSP2023.080.7757——
CEOOD detector=MSP2023.080.7742——
FL+MMCEOOD detector=ODIN2023.080.7741——
CE+MMCEOOD detector=ODIN2023.080.7739——
FL (gamma=3)OOD detector=ODIN2023.080.7708——
CE+S-ECEOOD detector=MSP2023.080.7702——
FL (gamma=3)OOD detector=MSP2023.080.7661——
CE+MMCEOOD detector=MSP2023.080.7579——
MSPBackbone=ResNet18-SimCLR, ID Dataset=STL102026.030.72158.7—
Energy (T=1)Backbone=ResNet18-SimCLR, ID Dataset=STL102026.030.70557.8—
CE+AUCOCLOOD detector=EBM2023.080.6969——
FL+AUCOCLOOD detector=MaxLogit2023.080.6952——
CE+AUCOCLOOD detector=MaxLogit2023.080.6951——
FL+AUCOCLOOD detector=EBM2023.080.6946——
CE+S-ECEOOD detector=EBM2023.080.6801——
CE+S-ECEOOD detector=MaxLogit2023.080.6798——
CE+S-AvUCOOD detector=EBM2023.080.6796——
CE+S-AvUCOOD detector=MaxLogit2023.080.6793——
FL+S-ECEOOD detector=EBM2023.080.6778——
CEOOD detector=MaxLogit2023.080.6771——
CEOOD detector=EBM2023.080.6771——
FL+S-AvUCOOD detector=MaxLogit2023.080.6738——
FL+S-ECEOOD detector=MaxLogit2023.080.6738——
FL+S-AvUCOOD detector=EBM2023.080.6724——
FL+MMCEOOD detector=MaxLogit2023.080.6697——
AdaFLOOD detector=MaxLogit2023.080.6694——
AdaFLOOD detector=EBM2023.080.6673——
FL (gamma=3)OOD detector=MaxLogit2023.080.6669——
FL+MMCEOOD detector=EBM2023.080.666——
FL (gamma=3)OOD detector=EBM2023.080.6642——
CE+MMCEOOD detector=MaxLogit2023.080.6634——
CE+MMCEOOD detector=EBM2023.080.6623——
MahalanobisBackbone=ResNet18-SimCLR, ID Dataset=STL102026.030.61676.2—
KNN (ℓ2)Backbone=ResNet18-SimCLR, ID Dataset=STL102026.030.57976—