Class-Incremental Learning on Tiny-ImageNet (incremental)
0.77Spearman's RhoLast-Layer Imbalanced Forgetting Coefficients
Evaluation Results
| Method | Links | |
|---|---|---|
| Last-Layer Imbalanced Forgetting CoefficientsIncremental Step=2, Subset={10%, 20%}, Evaluation Protocol=SW-LOO2026.05 | 0.77 | |
| Last-Layer Imbalanced Forgetting CoefficientsIncremental Step=2, Evaluation Protocol=SW-LOO2026.05 | 0.74 | |
| Last-Layer Imbalanced Forgetting CoefficientsIncremental Step=3, Evaluation Protocol=SW-LOO2026.05 | 0.72 | |
| New-Dataset Interference Coefficient (NIC)Incremental Step=22026.05 | 0.53 | |
| New-Dataset Interference Coefficient (NIC)Incremental Step=2, Subset={10%, 20%}2026.05 | 0.53 | |
| LOG-SIMIncremental Step=2, Subset={10%, 20%}2026.05 | 0.49 | |
| New-Dataset Interference Coefficient (NIC)Incremental Step=32026.05 | 0.46 | |
| LOG-SIMIncremental Step=22026.05 | 0.45 | |
| LOG-SIMIncremental Step=32026.05 | 0.26 |