| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR-100 | SGDS | Averaged Incremental Accuracy94.98 | 281 | 1mo ago | |
| CIFAR-100 | SoTU | Average Accuracy94.5 | 150 | 2mo ago | |
| ImageNet-R | Last Accuracy93.6 | 147 | 1mo ago | ||
| CIFAR100 (test) | TagFex | Avg Acc78.45 | 116 | 3mo ago | |
| ImageNet-A | SoTU | Average Accuracy75.1 | 110 | 2mo ago | |
| ImageNet-100 | ProTPS | Last Acc93.9 | 108 | 1mo ago | |
| ImageNet-R B0 Inc20 | Last Accuracy83.87 | 107 | 1mo ago | ||
| CIFAR-100 10 (test) | One-A | Average Top-1 Accuracy92.22 | 105 | 4mo ago | |
| CIFAR-100 10-split | Soft-TF-L[10,11,12] | Accuracy97.87 | 87 | 1mo ago | |
| CIFAR-100 Split (test) | NoRGa | Avg Acc94.76 | 75 | 4mo ago | |
| CUB-200 (test) | CLAP4CLIP | Alast81.64 | 73 | 1mo ago | |
| CIFAR-100 B0_Inc10 | Ranpac + C-Flat Turbo | Avg Accuracy94.45 | 69 | 1mo ago | |
| CIFAR100 B50 (test) | Average Accuracy79.91 | 67 | 4mo ago | ||
| CIFAR100 10 Tasks | SEMA + Ours | Accuracy94.25 | 66 | 2mo ago | |
| CUB200 | Last Accuracy90.5 | 64 | 1mo ago | ||
| ImageNet-R 5-task | MoP | Avg Accuracy (A_bar)88.42 | 64 | 1mo ago | |
| CIFAR-100 B0_Inc5 | TOSCA | Average Accuracy96.37 | 63 | 1mo ago | |
| ObjectNet | Average Accuracy83.8 | 60 | 2mo ago | ||
| CUB200 10 Tasks | LoDA + CA | FN (Final Acc)90.67 | 59 | 4mo ago | |
| CIFAR10 (test) | Average Accuracy92.2 | 59 | 4mo ago | ||
| CIFAR-100 20 tasks | RAPF | Accuracy79.2 | 58 | 24d ago | |
| Split ImageNet-R | Average Forgetting Measure1.27 | 57 | 2mo ago | ||
| VTAB | SoTU | Avg Accuracy96.7 | 55 | 2mo ago | |
| VTAB B0 Inc10 | Last Accuracy94.96 | 54 | 1mo ago | ||
| ImageNet-R 10-task | FAA82.06 | 54 | 2mo ago |
