| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | SVHN (test) | Accuracy99 | 362 | |
| Image Classification | SVHN | Accuracy99.3 | 359 | |
| Image Classification | SVHN (test) | Accuracy91.03 | 199 | |
| Classification | SVHN (test) | Error Rate1.12 | 182 | |
| Image Classification | SVHN 1000 labels (test) | Error Rate1.89 | 69 | |
| Out-of-distribution Detection | SVHN | AUROC99.8 | 62 | |
| OOD detection | SVHN (test) | AUROC0.9878 | 61 | |
| Image Classification | SVHN 250 labels | Test Error Rate1.89 | 61 | |
| Image Classification | SVHN (test) | Accuracy97.79 | 51 | |
| Open Set Recognition | SVHN | AUROC0.991 | 51 | |
| Out-of-distribution Detection | SVHN (test) | AUROC0.99 | 48 | |
| Image Classification | SVHN 40 labels | Error Rate1.96 | 44 | |
| Image Classification | SVHN 1.0 (10% label) | Accuracy95.26 | 42 | |
| Unsupervised Domain Adaptation | SVHN -> MNIST (test) | Accuracy99.5 | 41 | |
| Image Classification | SVHN-LT (test) | Top-1 Error Rate0.087 | 40 | |
| Model Calibration | SVHN | ECE0.24 | 40 | |
| Image Classification | SVHN 1000 labels | Error Rate1.79 | 39 | |
| Image Classification | SVHN (test) | Accuracy (Natural)93.37 | 38 | |
| Image Classification | SVHN (test) | Global Accuracy46.3 | 36 | |
| Digit Classification | SVHN to MNIST (test) | Accuracy99.4 | 33 | |
| Image Classification | SVHN (test) | Top-1 Error Rate2.03 | 31 | |
| Image Classification | SVHN | Accuracy98.6 | 30 | |
| Image Classification | SVHN (test) | Test Accuracy95.19 | 30 | |
| Image Classification | SVHN | Accuracy (Natural)95.09 | 30 | |
| Image Classification | SVHN 1.0 (test) | Natural Accuracy94.2 | 30 |