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ResearchFormerly WizWand

2-way 5-shot classification on CelebA attributes (downstream)

87.1AccuracySupervised MAML
50.086459.695769.30578.9143Jun 18, 2020
Updated 8mo ago

Evaluation results

MethodLinks
Supervised MAMLFeature Extractor=N/A2020.0687.1
Supervised ProtoNetsFeature Extractor=N/A2020.0685.13
Transfer Learning (VGG-19)Feature Extractor=N/A2020.0679.76
CACTUs MAMLFeature Extractor=BiGAN2020.0674.98
LASIUM-N-GAN-MAMLFeature Extractor=N/A2020.0674.79
CACTUs ProtoNetsFeature Extractor=DeepCluster2020.0674.15
CACTUs MAMLFeature Extractor=DeepCluster2020.0673.79
LASIUM-N-GAN-ProtoNetsFeature Extractor=N/A2020.0673.41
CACTUs ProtoNetsFeature Extractor=BiGAN2020.0665.58
Training from scratchFeature Extractor=N/A2020.0663.19
K-nearest neighborsFeature Extractor=DeepCluster2020.0661.47
MLP with dropoutFeature Extractor=DeepCluster2020.0660.65
Linear ClassifierFeature Extractor=DeepCluster2020.0659.57
Linear ClassifierFeature Extractor=BiGAN2020.0658.44
MLP with dropoutFeature Extractor=BiGAN2020.0656.26
Cluster matchingFeature Extractor=BiGAN2020.0656.2
K-nearest neighborsFeature Extractor=BiGAN2020.0656.15
Cluster matchingFeature Extractor=DeepCluster2020.0651.51