SVHN
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
SVHN latent dimension 16 (test)
46.99FID
13
SVHN (train test)
1.89Error Rate
13
SVHN-LT gamma=100, beta=20% (test)
93.9Overall Accuracy
13
SVHN (test)
83.27Deferral Ratio (Expert 1)
12
SVHN
88.6CTA
12
SVHN (test)
95.04Accuracy
12
SVHN (test)
98.52PA
12
SVHN (test)
67.37Accuracy
12
SVHN → MNIST (test)
0.005Error Rate
12
SVHN Dt (test)
90.72Accuracy
11
SVHN (remaining set Dr)
99.84Accuracy
11
SVHN unlearning set Du
99.75Accuracy
11
SVHN LDA alpha=0.1 (test)
95Accuracy
11
SVHN 6 known and 4 unknown classes
0.988AUROC
10
SVHN
69.99AUAC-F1 (%)
10
SVHN
71.6ACCm
10
SVHN Dt (test)
94.91Macro F1-score
10
SVHN (retained set D\Du)
100Macro F1-score
10
SVHN (unlearned set Du)
100Macro F1-score
10
SVHN 10% Random Forgetting
99.99Retention Accuracy (RA)
10
SVHN
99.99Retention Accuracy (RA)
10
SVHN 30% Random Forgetting VGG16-BN
100Retention Accuracy (RA)
10
SVHN (30% Random Forgetting)
100RA
10
SVHN (test)
82.58MiniGPT-4
10
SVHNcore (test)
98.3Accuracy
10