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ResearchFormerly WizWand

Few-shot Image Classification on miniImageNet original (test)

79.015-way 1-shot AccGaussFusion (Improved EM)
52.625259.475166.32573.1749Aug 11, 2021
Updated 8mo ago

Evaluation results

MethodLinks
GaussFusion (Improved EM)Setting=Transductive, Type=Pre-training, Backbone=ResNet122021.0879.0184.18
GaussFusion (EM)Setting=Transductive, Type=Pre-training, Backbone=ResNet122021.0875.3583.46
RAP-LaplacianShotSetting=Transductive, Type=Pre-training, Backbone=ResNet122021.0874.2984.51
TIM-GDSetting=Transductive, Type=Pre-training, Backbone=ResNet182021.0873.985
GaussFusion (Conference Version)Setting=Transductive, Type=Pre-training, Backbone=ResNet122021.0873.1382.06
LaplacianShotSetting=Transductive, Type=Pre-training, Backbone=ResNet182021.0872.1182.31
SIBSetting=Transductive, Type=Pre-training, Backbone=WRN-28-102021.087079.2
GaussFusion (MeanFusion)Setting=Inductive, Type=Pre-training, Backbone=ResNet122021.0869.6881.65
DPGNSetting=Transductive, Type=Graph, Backbone=ResNet122021.0867.7784.6
MCGNSetting=Transductive, Type=Graph, Backbone=ConvNet2562021.0867.3283.03
MultiSemSetting=Inductive, Type=Semantics, Backbone=Dense-1212021.0867.382.1
AM3-TRAMLSetting=Inductive, Type=Semantics, Backbone=ResNet122021.0867.179.54
DCSetting=Inductive, Type=Pre-training, Backbone=WRN-28-102021.0866.9180.74
EPNetSetting=Transductive, Type=Graph, Backbone=ResNet122021.0866.581.06
BD-CSPNSetting=Transductive, Type=Pre-training, Backbone=ResNet122021.0865.9479.23
ICISetting=Transductive, Type=Pre-training, Backbone=ResNet122021.0865.7778.94
TFTSetting=Transductive, Type=Pre-training, Backbone=WRN-28-102021.0865.7378.4
ConstellationNetSetting=Inductive, Type=Metric, Backbone=ResNet122021.0864.8979.95
FSLKTSetting=Inductive, Type=Semantics, Backbone=ConvNet1282021.0864.4274.16
Neg-CosineSetting=Inductive, Type=Pre-training, Backbone=ResNet122021.0863.8581.57
CPDESetting=Inductive, Type=Attribute, Backbone=ResNet122021.0863.2179.68
MetaBaselineSetting=Inductive, Type=Pre-training, Backbone=ResNet122021.0863.1779.26
MetaOptNetSetting=Inductive, Type=Optimization, Backbone=ResNet122021.0862.6478.63
SRestoreNetSetting=Transductive, Type=Metric, Backbone=ResNet182021.0861.14—
CentAlignSetting=Inductive, Type=Pre-training, Backbone=ResNet182021.0859.8880.35
ALFASetting=Inductive, Type=Optimization, Backbone=ResNet122021.0859.7477.96
RestoreNetSetting=Inductive, Type=Metric, Backbone=ResNet182021.0859.28—
CFASetting=Inductive, Type=Attribute, Backbone=ResNet182021.0858.576.6
MAMLSetting=Inductive, Type=Optimization, Backbone=ResNet122021.0858.3769.76
RAP-ProtoNetSetting=Inductive, Type=Metric, Backbone=ResNet102021.0853.6474.54