| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Tiny-ImageNet 10 tasks (20 classes per task) (test) | FAA84.3 | 54 | 6d ago | ||
| CIFAR-100 Quantity-based label imbalance | FAA88.6 | 42 | 6d ago | ||
| CIFAR-100 Distribution-based label imbalance | FAA90.1 | 39 | 6d ago | ||
| TinyImageNet (test) | GLFC | Score_12049 | 17 | 1mo ago | |
| FCIL-H | Average Accuracy (Aavg)95.06 | 14 | 19d ago | ||
| FCIL-A | Aavg88.62 | 14 | 19d ago | ||
| FCIL-M | Avg Acc86.61 | 14 | 19d ago | ||
| CIFAR-100 | C²Prompt | FAA (beta=0.5)89.93 | 13 | 1mo ago | |
| ImageNet-R | C²Prompt | FAA (β=0.5)75.23 | 13 | 1mo ago | |
| ImageNet Subset 10 incremental tasks | GLFC (Ours) | Accuracy42.7 | 10 | 1mo ago | |
| TinyImageNet first 10 tasks 35 | DDE + iCaRL + FL | Performance @ 10%70 | 10 | 1mo ago | |
| FCIL-H alpha=0.5 (test) | Average Accuracy95.06 | 7 | 19d ago | ||
| FCIL-A alpha=0.5 (test) | Average Accuracy (Aavg)88.62 | 7 | 19d ago | ||
| FCIL-M alpha=0.5 (test) | Average Accuracy86.61 | 7 | 19d ago | ||
| CIFAR-100 alpha = 6 | Fed-TaLoRA | FAA76.6 | 5 | 6d ago |
