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ResearchFormerly WizWand

Image Classification on ImageNet-50

80.8AccuracyBADGE
5.71225.20644.764.194Jun 6, 2023
Updated 8mo ago

Evaluation results

MethodLinks
BADGEBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0680.8
SelectALBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0680.8
BALDBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0680.7
CoreSetBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0680.7
Min MarginBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0680.4
TypiClustBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0680.1
DBALBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0680.1
Max EntropyBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0680.1
randomBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0679.8
Least Conf.Budget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0679.6
ProbCoverBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.0677.7
randomBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.8
TypiClustBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.8
Max EntropyBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.8
SelectALBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.8
BALDBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.7
CoreSetBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.7
ProbCoverBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.6
Least Conf.Budget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.5
BADGEBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.3
Min MarginBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.2
DBALBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.0661.1
ProbCoverBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.0611.4
SelectALBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.0611.4
TypiClustBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.0611.3
Min MarginBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.069.8
BADGEBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.069.4
BALDBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.069.4
randomBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.069.3
DBALBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.069
Max EntropyBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.068.9
Least Conf.Budget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.068.9
CoreSetBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.068.6