Image Classification on ImageNet100 Task 1(100-20) 1.0 (test)
89.93AccuracyPre-train
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Pre-train2026.01 | 89.93 | — | 87.4 | |
| DER2026.01 | 89.73 | 82.88 | 10.4 | |
| DER++2026.01 | 89.73 | 83.45 | 9.4 | |
| L2*2026.01 | 88.33 | 79.39 | 15.3 | |
| FG-OrIU2026.01 | 86.73 | 87.01 | 0.1 | |
| GS-LoRA++2026.01 | 85.98 | 86.63 | 0.1 | |
| LwF2026.01 | 85.15 | 85.82 | 0.9 | |
| GS-LoRA2026.01 | 85 | 86.13 | 0.1 | |
| SCRUB-S2026.01 | 79.83 | 83.44 | 0 | |
| EWC*2026.01 | 78.55 | 82.69 | 0.1 | |
| MAS*2026.01 | 74.5 | 80.44 | 0 | |
| SCRUB2026.01 | 67.03 | 75.87 | 0 | |
| BAD-T2026.01 | 65.29 | 74.74 | 0 | |
| LIRF*2026.01 | 64.28 | 52.72 | 42.71 | |
| Retrain2026.01 | 33.28 | 48.2 | 0 | |
| FDR2026.01 | 17.78 | 29.51 | 0.5 |