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ResearchFormerly WizWand

Few-shot classification on Cars cross-domain from mini-ImageNet

51.67AccuracyProtoNet + SiMT
30.464435.969741.47546.9803Oct 11, 2022
Updated 8mo ago

Evaluation results

MethodLinks
ProtoNet + SiMTShots=5-shot, Ways=5-way, Backbone=ResNet-122022.1051.67
MetaSGD + SiMTShots=5-shot, Ways=5-way, Backbone=ResNet-122022.1049.86
ProtoNetShots=5-shot, Ways=5-way, Backbone=ResNet-122022.1048.06
MetaSGDShots=5-shot, Ways=5-way, Backbone=ResNet-122022.1047.44
MAML + SiMTShots=5-shot, Ways=5-way, Backbone=ResNet-122022.1046.59
ANIL + SiMTShots=5-shot, Ways=5-way, Backbone=ResNet-122022.1045.88
MAMLShots=5-shot, Ways=5-way, Backbone=ResNet-122022.1044.56
ANILShots=5-shot, Ways=5-way, Backbone=ResNet-122022.1041.65
ProtoNet + SiMTShots=1-shot, Ways=5-way, Backbone=ResNet-122022.1034.53
MetaSGDShots=1-shot, Ways=5-way, Backbone=ResNet-122022.1034.52
MetaSGD + SiMTShots=1-shot, Ways=5-way, Backbone=ResNet-122022.1033.92
MAML + SiMTShots=1-shot, Ways=5-way, Backbone=ResNet-122022.1033.73
MAMLShots=1-shot, Ways=5-way, Backbone=ResNet-122022.1032.87
ProtoNetShots=1-shot, Ways=5-way, Backbone=ResNet-122022.1032.79
ANIL + SiMTShots=1-shot, Ways=5-way, Backbone=ResNet-122022.1032.34
ANILShots=1-shot, Ways=5-way, Backbone=ResNet-122022.1031.28