Image Classification on ImageNet-50
80.8AccuracyBADGE
Evaluation Results
| Method | Links | |
|---|---|---|
| BADGEBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 80.8 | |
| SelectALBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 80.8 | |
| BALDBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 80.7 | |
| CoreSetBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 80.7 | |
| Min MarginBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 80.4 | |
| TypiClustBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 80.1 | |
| DBALBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 80.1 | |
| Max EntropyBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 80.1 | |
| randomBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 79.8 | |
| Least Conf.Budget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 79.6 | |
| ProbCoverBudget (L + A)=25k+5k, Backbone=ResNet-18, Number of networks=102023.06 | 77.7 | |
| randomBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.8 | |
| TypiClustBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.8 | |
| Max EntropyBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.8 | |
| SelectALBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.8 | |
| BALDBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.7 | |
| CoreSetBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.7 | |
| ProbCoverBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.6 | |
| Least Conf.Budget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.5 | |
| BADGEBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.3 | |
| Min MarginBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.2 | |
| DBALBudget (L + A)=7k+1k, Backbone=ResNet-18, Number of networks=102023.06 | 61.1 | |
| ProbCoverBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 11.4 | |
| SelectALBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 11.4 | |
| TypiClustBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 11.3 | |
| Min MarginBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 9.8 | |
| BADGEBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 9.4 | |
| BALDBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 9.4 | |
| randomBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 9.3 | |
| DBALBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 9 | |
| Max EntropyBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 8.9 | |
| Least Conf.Budget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 8.9 | |
| CoreSetBudget (L + A)=100+100, Backbone=ResNet-18, Number of networks=102023.06 | 8.6 |