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Caltech-101

Benchmarks

Task NameDataset NameSOTA ResultTrend
Semantic AlignmentCaltech-101 (test)
LT-ACC88
23
Image ClassificationCaltech-101 Original (test)
Accuracy74.38
10
Image ClassificationCaltech-101 all-to-all
Accuracy94
7
Image ClassificationCaltech-101
Balanced Accuracy96.45
6
Image ClassificationCaltech-101 non-IID (β = 0.1) (Forget)
Accuracy80.04
6
Image ClassificationCaltech-101 standard (test)
Accuracy48.46
6
Membership Inference AttackCaltech-101 Forget standard
MIA Success Rate73.17
6
Density EstimationCaltech-101 Silhouettes (test)
Test Log-Likelihood-107.28
6
Image-Text ClassificationCaltech-101
Top-1 Acc89.02
5
Image ClassificationCaltech-101 8-shot
Accuracy97.2
3
Federated UnlearningCaltech-101 (Forget)
Accuracy50.81
2
Generative ModelingCaltech 101 Silhouettes (test)
Cross Entropy60.2
2
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