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ResearchFormerly WizWand

Few-shot Image Classification on ISIC (test)

55.12AccuracySEAL
28.635.48542.3749.255Mar 2, 2023Mar 21, 2023Apr 9, 2023Apr 29, 2023May 18, 2023Jun 6, 2023Jun 26, 2023
Updated 8mo ago

Evaluation results

MethodLinks
SEALParameters Updated=Linear+Affines, Base Model=SEAL2023.0455.12——
MAMLWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.0355.09——
PsCoWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.0354.59——
MoCo v2Way=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.0352.14——
SwAVWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.0351.99——
SimCLRWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.0351.35——
NormalParameters Updated=Linear+Affines, Base Model=Normal2023.0449.4——
Meta-SVEBMWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.0348.43——
ProtoNetsWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.0348.38——
Normal (long)Parameters Updated=Linear+Affines, Base Model=Normal (long)2023.0447.36——
MAMLWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.0347.34——
SEALParameters Updated=Linear, Base Model=SEAL2023.0446.96——
AFAway=5-way, shot=5-shot2023.0646.01——
ProtoDiffway=5-way, shot=5-shot2023.0645.65——
ATAway=5-way, shot=5-shot2023.0644.91——
PsCoWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.0344——
MoCo v2Way=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.0343.43——
SwAVWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.0343.21——
SimCLRWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.0342.83——
GNNway=5-way, shot=5-shot2023.0642.54——
HVMway=5-way, shot=5-shot2023.0642.05——
NormalParameters Updated=Linear, Base Model=Normal2023.0441.24——
ProtoNetsWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.0340.62——
ProtoNetway=5-way, shot=5-shot2023.0639.57——
Meta-GMVAEWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.0339.48——
Meta-SVEBMWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.0338.85——
ProtoDiffway=5-way, shot=1-shot2023.0634.97——
HVMway=5-way, shot=1-shot2023.0633.87——
Meta-GMVAEWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.0333.48——
AFAway=5-way, shot=1-shot2023.0633.21——
ATAway=5-way, shot=1-shot2023.0633.21——
Normal (long)Parameters Updated=Linear, Base Model=Normal (long)2023.0432.85——
LLFParameters Updated=Linear, Base Model=LLF2023.0432.26——
LLFParameters Updated=Linear+Affines, Base Model=LLF2023.0430.54——
GNNway=5-way, shot=1-shot2023.0630.14——
ProtoNetway=5-way, shot=1-shot2023.0629.62——
Rot + KD + CEnegative_sample_setup=noisy negative samples2022.06—32.3543.81
Rot + KD + POODLE-Bnegative_sample_setup=noisy negative samples2022.06—33.5644.17
Rot + KD + POODLE-Rnegative_sample_setup=noisy negative samples2022.06—32.2143.87
SimCLR2022.06—26.2536.09
STARTUP2022.06—32.6647.22
STARTUP (no SS)2022.06—32.2446.48
Transfer2022.06—30.7143.08
Transfer + SimCLR2022.06—32.6345.96