List your company
ResearchFormerly WizWand

5-way 1-shot classification on mini-ImageNet (test)

70.88AccuracyBaseTransformer
48.561654.355860.1565.9442Jul 19, 2022Aug 5, 2022Aug 22, 2022Sep 8, 2022Sep 25, 2022Oct 12, 2022Oct 30, 2022
Updated 8mo ago

Evaluation results

MethodLinks
BaseTransformerBackbone=ResNet-122022.1070.88
S2M2 + TCPRBackbone=WRN-28, 9-patch cropping=true2022.1070.67
PALBackbone=ResNet-122022.1069.37
PALBackbone=ResNet-122022.1069.37
COSOCBackbone=ResNet-122022.1069.28
Inv-Equ + TCPRBackbone=ResNet-122022.1068.92
DeepEMDBackbone=ResNet-12, 9-patch cropping=true2022.1068.77
DCBackbone=WRN-282022.1068.57
S2M2 + TCPRBackbone=WRN-282022.1068.05
S/TBackbone=ResNet-122022.1068.03
POODLEBackbone=ResNet-122022.1067.8
DMFBackbone=ResNet-122022.1067.76
InfoPatchBackbone=ResNet-122022.1067.67
CSEIBackbone=ResNet-122022.1067.59
MELRBackbone=ResNet-122022.1067.4
S2M2Backbone=WRN-28, 9-patch cropping=true2022.1067.19
IEPTBackbone=ResNet-122022.1067.05
FEATBackbone=ResNet-122022.1066.78
METALBackbone=ResNet-122022.1066.61
DeepEMDBackbone=ResNet-122022.1065.91
DeepEMDBackbone=ResNet-122022.1065.91
Inv-EquBackbone=ResNet-122022.1065.57
ArLBackbone=ResNet-122022.1065.21
META-QDABackbone=ResNet-122022.1065.12
Baseline++ + TCPRBackbone=ResNet-122022.1064.92
S2M2Backbone=WRN-282022.1064.63
CANBackbone=ResNet-122022.1063.85
SimpleShotBackbone=ResNet-122022.1062.85
Baseline++Backbone=ResNet-122022.1061.67
ProtoNetsBackbone=ResNet-122022.1060.37
A-EncoderBackbone=ResNet-18, Size=224, Supervision=sup., Knowledge Distillation=false2022.0759.9
BaseTransformerBackbone=Conv4-642022.1059.37
Baseline++ + TCPRBackbone=ResNet-182022.1058.67
META-QDABackbone=Conv4-642022.1056.41
IEPTBackbone=Conv4-642022.1056.26
MELRBackbone=Conv4-642022.1055.35
FEATBackbone=Conv4-642022.1055.15
Baseline++Backbone=ResNet-182022.1054.23
ProtoNetBackbone=ResNet-182022.1054.16
MatchingNetBackbone=ResNet-182022.1052.91
SimpleShotBackbone=Conv4-642022.1049.69
MAMLBackbone=ResNet-182022.1049.61
ProtoNetsBackbone=Conv4-642022.1049.42