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Image Classification on Caltech-101 naturally imbalanced (test)

79.2AccuracyFully Supervised
9.31227.45645.663.744May 22, 2026

Evaluation results

MethodLinks
Fully SupervisedLabel Usage=With Labels, Pruning Rate=30%2026.0579.2
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=30%2026.0579
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=30%2026.0578.4
PrototypicalityLabel Usage=Without Labels, Pruning Rate=30%2026.0576
RandomLabel Usage=Without Labels, Pruning Rate=30%2026.0575.9
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=30%2026.0575.7
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=30%2026.0575.6
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=30%2026.0573.2
Fully SupervisedLabel Usage=With Labels, Pruning Rate=50%2026.0572.4
ZCoreLabel Usage=Without Labels, Pruning Rate=30%2026.0571.5
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=50%2026.0570.7
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=50%2026.0570.6
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=50%2026.0568.1
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=50%2026.0566.6
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=50%2026.0566.2
ZCoreLabel Usage=Without Labels, Pruning Rate=50%2026.0565.8
RandomLabel Usage=Without Labels, Pruning Rate=50%2026.0565.1
PrototypicalityLabel Usage=Without Labels, Pruning Rate=50%2026.0564.9
Fully SupervisedLabel Usage=With Labels, Pruning Rate=70%2026.0559.7
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=70%2026.0558.8
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=70%2026.0558.5
ZCoreLabel Usage=Without Labels, Pruning Rate=70%2026.0556.3
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=70%2026.0556.1
Fully SupervisedLabel Usage=With Labels, Pruning Rate=80%2026.0554.9
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=70%2026.0554
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=80%2026.0553.9
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=70%2026.0553.8
RandomLabel Usage=Without Labels, Pruning Rate=70%2026.0553.5
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=80%2026.0553.1
ZCoreLabel Usage=Without Labels, Pruning Rate=80%2026.0551.3
RandomLabel Usage=Without Labels, Pruning Rate=80%2026.0550.5
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=80%2026.0549.1
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=80%2026.0547.1
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=80%2026.0547
Semi-DUAL+BetaLabel Usage=With 10% Labels, Pruning Rate=90%2026.0546.8
Semi-AUM+CutoffLabel Usage=With 10% Labels, Pruning Rate=90%2026.0545.7
Fully SupervisedLabel Usage=With Labels, Pruning Rate=90%2026.0542.7
RandomLabel Usage=Without Labels, Pruning Rate=90%2026.0540.3
ELFS (DINO)Label Usage=Without Labels, Pruning Rate=90%2026.0540
Score ExtrapolationLabel Usage=With 10% Labels, Pruning Rate=90%2026.0538.8
ZCoreLabel Usage=Without Labels, Pruning Rate=90%2026.0538.5
ELFS (Self-Encoder)Label Usage=Without Labels, Pruning Rate=90%2026.0537.2
PrototypicalityLabel Usage=Without Labels, Pruning Rate=70%2026.0535
PrototypicalityLabel Usage=Without Labels, Pruning Rate=80%2026.0523.8
PrototypicalityLabel Usage=Without Labels, Pruning Rate=90%2026.0512