Class-Incremental Learning on ImageNet-R 20 tasks
86.37Accuracy (20 Tasks)
E2-LoRA
Updated 6d ago
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
2026.05 | 86.37 | - | 80.77 | |
2026.05 | 83.05 | - | 77.32 | |
2026.05 | 82.7 | - | - | |
2025.09 | 82 | - | - | |
2025.09 | 81.82 | - | - | |
2026.05 | 81.76 | - | 75.58 | |
2025.09 | 81.48 | - | - | |
2025.09 | 80.92 | - | - | |
2025.09 | 80.83 | - | - | |
2026.05 | 80.69 | - | 74.8 | |
2026.05 | 80.29 | - | 73.78 | |
2025.09 | 80.27 | - | - | |
2025.09 | 80.18 | - | - | |
2026.05 | 79.3 | - | - | |
2026.05 | 78.7 | - | - | |
2026.05 | 78.4 | - | - | |
2026.05 | 78.32 | - | 71.46 | |
2026.05 | 78.3 | - | - | |
2026.05 | 77.5 | - | - | |
2024.03 | 77.28 | 71.01 | - | |
2024.03 | 76.71 | 66.88 | - | |
2026.05 | 76.5 | - | - | |
2026.05 | 76.3 | - | - | |
2026.05 | 73.7 | - | - | |
2026.05 | 73.64 | - | 67.53 | |
2026.05 | 73.4 | - | - | |
2026.05 | 73.07 | - | 66.89 | |
2026.05 | 72.5 | - | - | |
2024.03 | 69.29 | 56.98 | - | |
2026.05 | 68.35 | - | 62.15 | |
2026.05 | 55.6 | - | - | |
2026.05 | 54.1 | - | - | |
2026.05 | - | - | 82.76 |