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ResearchFormerly WizWand

Out-of-Distribution Detection on CIFAR-100 ID Far-OOD Average OpenOOD v1.5

96.9AUROCOnline Prototype Learning
54.613665.591876.5787.5482Apr 29, 2026May 3, 2026May 8, 2026May 12, 2026May 17, 2026May 21, 2026May 26, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Online Prototype LearningTraining Protocol=Zero-Shot Training-free Methods2026.0596.921.97
AdaNeg+NeglabelTraining Protocol=Zero-Shot Training-free Methods2026.0595.2529.35
NegLabelTraining Protocol=Zero-Shot Training-free Methods2026.0589.6840.92
GradNormBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0488.8450.57
ReActBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0488.548.54
ViMBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0488.4439.49
SHEBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0487.5963.72
KNNBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0487.4346.54
EPDBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0487.0246.47
EBOBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0486.8654.22
GENBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0486.7754.42
MLSBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0486.5254.3
RMDSBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0486.2543.47
DICEBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0485.3960.84
TempScaleBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0484.456.71
MDSBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0483.6148.5
MSPBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0482.6258.8
OpenMaxBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0481.863.62
SCALETraining Protocol=Methods requiring training (or fine-tuning)2026.0581.42—
OE + MSPTraining Protocol=Methods requiring training (or fine-tuning)2026.0581.41—
VOS + EBOTraining Protocol=Methods requiring training (or fine-tuning)2026.0581.32—
GENTraining Protocol=Methods requiring training (or fine-tuning)2026.0579.68—
MCMTraining Protocol=Zero-Shot Training-free Methods2026.057659.32
ASHBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.0456.2485.13