Image Classification on ImageNet Subset
80.43AccuracyClean
Evaluation Results
| Method | Links | |
|---|---|---|
| CleanModel=ResNet-182026.03 | 80.43 | |
| Whole DatasetImg/Cls=N/A, Ratio (%)=1002023.07 | 46.8 | |
| IDMImg/Cls=50, Ratio (%)=42023.07 | 26.3 | |
| DMImg/Cls=50, Ratio (%)=42023.07 | 22.5 | |
| IDMImg/Cls=10, Ratio (%)=0.82023.07 | 17.1 | |
| HerdingImg/Cls=50, Ratio (%)=42023.07 | 14.8 | |
| REMModel=ResNet-182026.03 | 13.74 | |
| DMImg/Cls=10, Ratio (%)=0.82023.07 | 11.9 | |
| IDMImg/Cls=1, Ratio (%)=0.082023.07 | 11.2 | |
| RandomImg/Cls=50, Ratio (%)=42023.07 | 10 | |
| APModel=ResNet-182026.03 | 9.1 | |
| ForgettingImg/Cls=50, Ratio (%)=42023.07 | 9 | |
| NTGAModel=ResNet-182026.03 | 8.42 | |
| HerdingImg/Cls=10, Ratio (%)=0.82023.07 | 8.3 | |
| RandomImg/Cls=10, Ratio (%)=0.82023.07 | 6.2 | |
| TUEModel=ResNet-182026.03 | 4.95 | |
| ForgettingImg/Cls=10, Ratio (%)=0.82023.07 | 4.5 | |
| DMImg/Cls=1, Ratio (%)=0.082023.07 | 4.5 | |
| SEMModel=ResNet-182026.03 | 4.1 | |
| HerdingImg/Cls=1, Ratio (%)=0.082023.07 | 3 | |
| RandomImg/Cls=1, Ratio (%)=0.082023.07 | 2.4 | |
| ForgettingImg/Cls=1, Ratio (%)=0.082023.07 | 1.4 | |
| EMModel=ResNet-182026.03 | 1.26 | |
| MI-UEModel=ResNet-182026.03 | 1.03 |