| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR-100 | FeTrIL | Avg Top-1 Inc Acc66.3 | 68 | 1mo ago | |
| TinyImageNet | FeTrIL | Top-1 Acc (Inc)54.8 | 62 | 1mo ago | |
| CIFAR-100 Big start | FeTrIL | Average Incremental Accuracy (Aavg)66.3 | 39 | 1mo ago | |
| CIFAR-100 (test) | AdaGauss | Accuracy Last (Alast)60.2 | 30 | 1mo ago | |
| ImageNet Subset (test) | AdaGauss | A_last65 | 30 | 1mo ago | |
| ImageNet Subset | FeTrIL | Top-1 Incremental Acc72.2 | 22 | 1mo ago | |
| TinyImageNet (test) | AdaGauss | Avg Increment36.5 | 18 | 1mo ago | |
| TinyImageNet T=10 | AdaGauss | Alast36.5 | 16 | 1mo ago | |
| CIFAR-100 Equally split | Aavg63.4 | 15 | 1mo ago | ||
| Caltech-256 10-Tasks | Inf-SSM | Average Accuracy (AA)39.88 | 13 | 25d ago | |
| CIFAR-100 10-Tasks | Inf-SSM | Average Accuracy (AA)26.53 | 13 | 25d ago | |
| Caltech-256 5-Tasks | Inf-SSM | Average Accuracy (AA)50.75 | 13 | 25d ago | |
| CIFAR-100 5-Tasks | Inf-SSM | AA45.18 | 13 | 25d ago | |
| ImageNet-R 5-task (test) | Inf-SSM | Average Accuracy (AA)49.34 | 12 | 25d ago | |
| ImageNet | FeTrIL | Top-1 Incremental Accuracy66.1 | 12 | 1mo ago | |
| Imagenet Subset T=20 (test) | AdaGauss | Alast42.6 | 10 | 1mo ago | |
| Imagenet Subset T=10 (test) | AdaGauss | Alast51.1 | 10 | 1mo ago | |
| TinyImageNet T=20 (test) | AdaGauss | Alast31.3 | 10 | 1mo ago | |
| CIFAR-100 T=20 (test) | EWC | Alast17.4 | 10 | 1mo ago | |
| CIFAR-100 T=10 (test) | SSRE | Alast30.4 | 10 | 1mo ago | |
| FGVCAircraft T=20 tasks (test) | AdaGauss | Last Accuracy34.8 | 9 | 1mo ago | |
| FGVCAircraft T=10 tasks (test) | AdaGauss | Last Accuracy (Alast)47.5 | 9 | 1mo ago | |
| FGVCAircraft T=5 tasks (test) | AdaGauss | Last Accuracy53.3 | 9 | 1mo ago | |
| CUB200 T=20 tasks (test) | AdaGauss | Last Accuracy (Alast)47.4 | 9 | 1mo ago | |
| CUB200 T=10 tasks (test) | AdaGauss | Alast55.8 | 9 | 1mo ago |
