SVHN

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	SVHN (test)	Accuracy99.5	470
Image Classification	SVHN	Accuracy99.3	395
Image Classification	SVHN	Top-1 Accuracy98.21	209
Image Classification	SVHN (test)	Accuracy91.03	199
Classification	SVHN (test)	Error Rate1.12	182
Image Classification	SVHN (test)	Accuracy97.31	98
OOD detection	SVHN (test)	AUROC0.998	84
Uncertainty Quantification	SVHN (test)	Accuracy100	80
Out-of-distribution Detection	SVHN (test)	AUROC0.99	72
Image Classification	SVHN 250 labels	Test Error Rate1.88	72
Image Classification	SVHN 1000 labels (test)	Error Rate1.89	69
Out-of-distribution Detection	SVHN	AUROC99.8	62
Image Classification	SVHN	ACC (Accuracy)98.02	58
Image Classification	SVHN	Accuracy97	54
Image Classification	SVHN (test)	Accuracy97.79	51
Open Set Recognition	SVHN	AUROC0.991	51
Digit Classification	SVHN	Median QDA Accuracy75.2	47
Image Classification	SVHN	Accuracy98.6	47
Image Classification	SVHN 40 labels	Error Rate1.96	44
Backdoor Attack in Dataset Condensation	SVHN	CTA88.58	43
Image Classification	SVHN 1.0 (10% label)	Accuracy95.26	42
Unsupervised Domain Adaptation	SVHN -> MNIST (test)	Accuracy99.5	41
Copyright Verification	SVHN (test)	CVSR100	40
Image Classification	SVHN-LT (test)	Top-1 Error Rate0.087	40
Model Calibration	SVHN	ECE0.24	40

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