Exemplar-Free Class-Incremental Learning on ImageNet-R 5-Tasks Scenario
49.34Average Accuracy (AA)Inf-SSM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Inf-SSMBackbone=Vim-small2025.05 | 49.34 | 67.51 | 25.14 | |
| UCLBackbone=Vim-small2025.05 | 48.03 | 67.19 | 43.9 | |
| SIBackbone=Vim-small2025.05 | 45.72 | 65.18 | 47.21 | |
| EWCBackbone=Vim-small2025.05 | 45.58 | 65.62 | 47.31 | |
| LwF-ABCBackbone=Vim-small2025.05 | 45.09 | 65.69 | 40.77 | |
| MASBackbone=Vim-small2025.05 | 44.7 | 65.59 | 48.23 | |
| SeqBackbone=Vim-small2025.05 | 38.36 | 61.29 | 56.43 |