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ResearchFormerly WizWand

Accuracy Estimation on Multi-Dataset Transfer (MNIST, USPS, SVHN, COCO, PASCAL, ImageNet)

3.58MAEMetaEvaluator
3.00486.887410.7714.6526May 22, 2026
Updated 5mo ago

Evaluation results

MethodLinks
MetaEvaluatorUnseen model architecture=ResNeXt-50-32x4d2026.053.58
MetaEvaluatorUnseen model architecture=ConvNeXt-Tiny2026.053.61
MetaEvaluatorUnseen model architecture=RegNetY-8GF2026.053.74
MetaEvaluatorUnseen model architecture=Avg.2026.053.76
MetaEvaluatorUnseen model architecture=ViT-Tiny2026.053.89
MetaEvaluatorUnseen model architecture=DeiT-Small2026.053.97
SelfTrainEnsUnseen model architecture=RegNetY-8GF2026.059.28
SelfTrainEnsUnseen model architecture=ResNeXt-50-32x4d2026.0510.02
SelfTrainEnsUnseen model architecture=ConvNeXt-Tiny2026.0510.11
SelfTrainEnsUnseen model architecture=ViT-Tiny2026.0510.46
SelfTrainEnsUnseen model architecture=DeiT-Small2026.0510.63
SelfTrainEnsUnseen model architecture=Avg.2026.0511.3
AutoEvalUnseen model architecture=ResNeXt-50-32x4d2026.0511.44
AutoEvalUnseen model architecture=ConvNeXt-Tiny2026.0511.58
AutoEvalUnseen model architecture=RegNetY-8GF2026.0511.79
AutoEvalUnseen model architecture=Avg.2026.0511.8
AutoEvalUnseen model architecture=ViT-Tiny2026.0512.01
AutoEvalUnseen model architecture=DeiT-Small2026.0512.18
PseudoAutoEvalUnseen model architecture=ResNeXt-50-32x4d2026.0513.67
PseudoAutoEvalUnseen model architecture=ConvNeXt-Tiny2026.0513.81
PseudoAutoEvalUnseen model architecture=Avg.2026.0514.01
PseudoAutoEvalUnseen model architecture=RegNetY-8GF2026.0514.02
PseudoAutoEvalUnseen model architecture=ViT-Tiny2026.0514.19
PseudoAutoEvalUnseen model architecture=DeiT-Small2026.0514.37
AGDUnseen model architecture=ResNeXt-50-32x4d2026.0515.11
AGDUnseen model architecture=ConvNeXt-Tiny2026.0515.32
AGDUnseen model architecture=Avg.2026.0515.55
AGDUnseen model architecture=RegNetY-8GF2026.0515.59
AGDUnseen model architecture=ViT-Tiny2026.0515.74
AGDUnseen model architecture=DeiT-Small2026.0515.97
DoCUnseen model architecture=ResNeXt-50-32x4d2026.0516.03
DoCUnseen model architecture=ConvNeXt-Tiny2026.0516.27
DoCUnseen model architecture=RegNetY-8GF2026.0516.54
DoCUnseen model architecture=Avg.2026.0516.55
DoCUnseen model architecture=ViT-Tiny2026.0516.88
DoCUnseen model architecture=DeiT-Small2026.0517.02
ATCUnseen model architecture=ResNeXt-50-32x4d2026.0517.02
ATCUnseen model architecture=ConvNeXt-Tiny2026.0517.19
ATCUnseen model architecture=RegNetY-8GF2026.0517.46
ATCUnseen model architecture=Avg.2026.0517.49
ATCUnseen model architecture=ViT-Tiny2026.0517.83
ATCUnseen model architecture=DeiT-Small2026.0517.96