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ResearchFormerly WizWand

5-way Cross-domain Classification on mini-ImageNet to CUB (test)

58.86AccuracyHyperShot
31.726438.770745.81552.8593Oct 11, 2019Mar 7, 2020Aug 3, 2020Dec 30, 2020May 27, 2021Oct 23, 2021Mar 21, 2022
Updated 8mo ago

Evaluation results

MethodLinks
HyperShotn-shot=5-shot, finetuning=true2022.0358.86
HyperShotn-shot=5-shot, finetuning=false2022.0357.77
Baseline++shots=5-shot2019.1057.31
Baseline++n-shot=5-shot2022.0357.31
OVE PG GP + Cosine (PL)n-shot=5-shot2022.0357.23
DKT + BNCosSimshots=5-shot2019.1056.4
DKTn-shot=5-shot2022.0356.4
OVE PG GP + Cosine (ML)n-shot=5-shot2022.0355.71
DKT + CosSimshots=5-shot2019.1055.65
DKT + Linearshots=5-shot2019.1054.2
ProtoNetshots=5-shot2019.1052.16
ProtoNetn-shot=5-shot2022.0352.16
RelationNetshots=5-shot2019.1051.76
RelationNetn-shot=5-shot2022.0351.76
Bayesian MAMLn-shot=5-shot2022.0351.35
MatchingNetshots=5-shot2019.1050.72
MatchingNetn-shot=5-shot2022.0350.72
Feature Transfershots=5-shot2019.1050.34
Feature Transfern-shot=5-shot2022.0350.34
MAMLshots=5-shot2019.1048.83
MAMLn-shot=5-shot2022.0348.83
DKT + CosSimshots=1-shot2019.1040.22
DKT + BNCosSimshots=1-shot2019.1040.14
DKTn-shot=1-shot2022.0340.14
HyperShotn-shot=1-shot, finetuning=true2022.0340.03
OVE PG GP + Cosine (ML)n-shot=1-shot2022.0339.66
Baseline++shots=1-shot2019.1039.19
Baseline++n-shot=1-shot2022.0339.19
HyperShotn-shot=1-shot, finetuning=false2022.0339.09
DKT + Linearshots=1-shot2019.1038.72
OVE PG GP + Cosine (PL)n-shot=1-shot2022.0337.49
RelationNetshots=1-shot2019.1037.13
RelationNetn-shot=1-shot2022.0337.13
MatchingNetshots=1-shot2019.1036.98
MatchingNetn-shot=1-shot2022.0336.98
MAMLshots=1-shot2019.1034.01
MAMLn-shot=1-shot2022.0334.01
Bayesian MAMLn-shot=1-shot2022.0333.52
ProtoNetshots=1-shot2019.1033.27
ProtoNetn-shot=1-shot2022.0333.27
Feature Transfershots=1-shot2019.1032.77
Feature Transfern-shot=1-shot2022.0332.77