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5-way Few-Shot Image Classification on tiered-ImageNet 608 classes (test)

85.69AccuracySimpleShot(UN)
47.501257.415667.3377.2444Nov 25, 2020

Evaluation results

MethodLinks
SimpleShot(UN)number of shots=5-shot2020.1185.69
LEOnumber of shots=5-shot2020.1181.44
MTUNetbackbone=WRN, number of shots=5-shot2020.1180.05
Meta SGDnumber of shots=5-shot2020.1179.34
MTUNetbackbone=ResNet-18, number of shots=5-shot2020.1177.82
ProtoNetnumber of shots=5-shot2020.1172.69
RelationNetnumber of shots=5-shot2020.1171.32
MAMLnumber of shots=5-shot2020.1170.3
Reptilenumber of shots=5-shot2020.1166.47
LEOnumber of shots=1-shot2020.1166.33
SimpleShot(UN)number of shots=1-shot2020.1164.35
Meta SGDnumber of shots=1-shot2020.1162.95
MTUNetbackbone=WRN, number of shots=1-shot2020.1162.42
MTUNetbackbone=ResNet-18, number of shots=1-shot2020.1161.27
RelationNetnumber of shots=1-shot2020.1154.48
ProtoNetnumber of shots=1-shot2020.1153.31
MAMLnumber of shots=1-shot2020.1151.67
Reptilenumber of shots=1-shot2020.1148.97