Exemplar-Free Class-Incremental Learning on ImageNet-R 10-Tasks
43.82Average Accuracy (AA)Inf-SSM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Inf-SSMBackbone=Vim-Small, Regularization focus=geometry-aware2025.05 | 43.82 | 62.82 | 36.34 | |
| EWCBackbone=Vim-Small, Regularization focus=(A, B, C)2025.05 | 41.99 | 61.78 | 49.02 | |
| LwF-ABCBackbone=Vim-Small, Regularization focus=(A, B, C)2025.05 | 41.85 | 62.63 | 40.1 | |
| SIBackbone=Vim-Small, Regularization focus=(A, B, C)2025.05 | 41.59 | 61.13 | 46.81 | |
| MASBackbone=Vim-Small, Regularization focus=(A, B, C)2025.05 | 40.1 | 61.3 | 48.18 | |
| SeqBackbone=Vim-Small, Regularization focus=(A, B, C)2025.05 | 32.95 | 55.36 | 58.3 |