Class-incremental Learning on CIFAR-100 i-Blurry-50-10 (test)
79.89Average AccuracyStandard
Evaluation Results
| Method | Links | |
|---|---|---|
| Standard2025.07 | 79.89 | |
| EB (w/ DMA)Number of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 59.06 | |
| EB (w/o DMA)Number of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 53.98 | |
| FOSTERNumber of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 52.8 | |
| DPCL*Number of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 50.22 | |
| CLIBNumber of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 49.22 | |
| EWC++Number of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 38.78 | |
| ER-MIRNumber of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 38.28 | |
| BiCNumber of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 37.61 | |
| GDumbNumber of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 34.03 | |
| iCaRLNumber of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 33.55 | |
| RMNumber of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 33.27 | |
| FTFNumber of tasks (t)=5, Pre-trained initialization (PR)=ImageNet, i-Blurry setting (n/m)=50/102025.07 | 30.25 |