Image Classification on CIFAR-100-LT balanced imbalance factor 0.1 (test)
58.3AccuracySemi-DUAL+Beta
Evaluation Results
| Method | Links | |
|---|---|---|
| Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=30%2026.05 | 58.3 | |
| Fully SupervisedLabel Usage=With Labels, Pruning Rate=30%2026.05 | 58.1 | |
| ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=30%2026.05 | 56 | |
| ZCoreLabel Usage=Without Labels, Pruning Rate=30%2026.05 | 55.5 | |
| Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=30%2026.05 | 55.3 | |
| Fully SupervisedLabel Usage=With Labels, Pruning Rate=50%2026.05 | 54.9 | |
| PrototypicalityLabel Usage=Without Labels, Pruning Rate=30%2026.05 | 54.7 | |
| Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=50%2026.05 | 53.6 | |
| ZCoreLabel Usage=Without Labels, Pruning Rate=50%2026.05 | 51.5 | |
| ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=50%2026.05 | 51.3 | |
| PrototypicalityLabel Usage=Without Labels, Pruning Rate=50%2026.05 | 50.5 | |
| Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=30%2026.05 | 50.4 | |
| ELFS (DINO)Label Usage=Without Labels, Pruning Rate=30%2026.05 | 49.5 | |
| ELFS (DINO)Label Usage=Without Labels, Pruning Rate=50%2026.05 | 49.1 | |
| Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=50%2026.05 | 48.5 | |
| Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=50%2026.05 | 46.5 | |
| Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=70%2026.05 | 43.8 | |
| ELFS (DINO)Label Usage=Without Labels, Pruning Rate=70%2026.05 | 43.7 | |
| Fully SupervisedLabel Usage=With Labels, Pruning Rate=70%2026.05 | 43.5 | |
| Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=70%2026.05 | 41.9 | |
| ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=70%2026.05 | 40.7 | |
| ZCoreLabel Usage=Without Labels, Pruning Rate=70%2026.05 | 38.2 | |
| Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=70%2026.05 | 36 | |
| Fully SupervisedLabel Usage=With Labels, Pruning Rate=80%2026.05 | 35.9 | |
| Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=80%2026.05 | 35.1 | |
| Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=80%2026.05 | 34.4 | |
| ELFS (DINO)Label Usage=Without Labels, Pruning Rate=80%2026.05 | 34.2 | |
| PrototypicalityLabel Usage=Without Labels, Pruning Rate=70%2026.05 | 33.2 | |
| RandomLabel Usage=Without Labels, Pruning Rate=30%2026.05 | 32.9 | |
| ZCoreLabel Usage=Without Labels, Pruning Rate=80%2026.05 | 32 | |
| ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=80%2026.05 | 29.6 | |
| Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=80%2026.05 | 28.6 | |
| Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=90%2026.05 | 27.5 | |
| Fully SupervisedLabel Usage=With Labels, Pruning Rate=90%2026.05 | 27.1 | |
| Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=90%2026.05 | 27 | |
| ELFS (DINO)Label Usage=Without Labels, Pruning Rate=90%2026.05 | 25.1 | |
| PrototypicalityLabel Usage=Without Labels, Pruning Rate=80%2026.05 | 24.4 | |
| ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=90%2026.05 | 20.4 | |
| Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=90%2026.05 | 20.4 | |
| ZCoreLabel Usage=Without Labels, Pruning Rate=90%2026.05 | 19.8 | |
| RandomLabel Usage=Without Labels, Pruning Rate=50%2026.05 | 18.8 | |
| PrototypicalityLabel Usage=Without Labels, Pruning Rate=90%2026.05 | 16.7 | |
| RandomLabel Usage=Without Labels, Pruning Rate=70%2026.05 | 8.3 | |
| RandomLabel Usage=Without Labels, Pruning Rate=80%2026.05 | 5.4 | |
| RandomLabel Usage=Without Labels, Pruning Rate=90%2026.05 | 3.2 |