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Image Classification on CIFAR-100-LT balanced imbalance factor 0.1 (test)

58.3AccuracySemi-DUAL+Beta
0.99615.87330.7545.627May 22, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=30%2026.0558.3
Fully SupervisedLabel Usage=With Labels, Pruning Rate=30%2026.0558.1
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=30%2026.0556
ZCoreLabel Usage=Without Labels, Pruning Rate=30%2026.0555.5
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=30%2026.0555.3
Fully SupervisedLabel Usage=With Labels, Pruning Rate=50%2026.0554.9
PrototypicalityLabel Usage=Without Labels, Pruning Rate=30%2026.0554.7
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=50%2026.0553.6
ZCoreLabel Usage=Without Labels, Pruning Rate=50%2026.0551.5
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=50%2026.0551.3
PrototypicalityLabel Usage=Without Labels, Pruning Rate=50%2026.0550.5
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=30%2026.0550.4
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=30%2026.0549.5
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=50%2026.0549.1
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=50%2026.0548.5
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=50%2026.0546.5
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=70%2026.0543.8
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=70%2026.0543.7
Fully SupervisedLabel Usage=With Labels, Pruning Rate=70%2026.0543.5
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=70%2026.0541.9
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=70%2026.0540.7
ZCoreLabel Usage=Without Labels, Pruning Rate=70%2026.0538.2
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=70%2026.0536
Fully SupervisedLabel Usage=With Labels, Pruning Rate=80%2026.0535.9
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=80%2026.0535.1
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=80%2026.0534.4
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=80%2026.0534.2
PrototypicalityLabel Usage=Without Labels, Pruning Rate=70%2026.0533.2
RandomLabel Usage=Without Labels, Pruning Rate=30%2026.0532.9
ZCoreLabel Usage=Without Labels, Pruning Rate=80%2026.0532
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=80%2026.0529.6
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=80%2026.0528.6
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=90%2026.0527.5
Fully SupervisedLabel Usage=With Labels, Pruning Rate=90%2026.0527.1
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=90%2026.0527
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=90%2026.0525.1
PrototypicalityLabel Usage=Without Labels, Pruning Rate=80%2026.0524.4
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=90%2026.0520.4
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=90%2026.0520.4
ZCoreLabel Usage=Without Labels, Pruning Rate=90%2026.0519.8
RandomLabel Usage=Without Labels, Pruning Rate=50%2026.0518.8
PrototypicalityLabel Usage=Without Labels, Pruning Rate=90%2026.0516.7
RandomLabel Usage=Without Labels, Pruning Rate=70%2026.058.3
RandomLabel Usage=Without Labels, Pruning Rate=80%2026.055.4
RandomLabel Usage=Without Labels, Pruning Rate=90%2026.053.2