Few-Shot Class-Incremental Learning on miniImageNet, CUB-200, and CIFAR-100 Average (test)
83.92Base Accuracy
BiAG
Updated 4d ago
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
2025.03 | 83.92 | 60.5 | 69.9 | |
2025.03 | 83.43 | 59.73 | 68.54 | |
2025.03 | 82.33 | 57.95 | 67.53 | |
2025.03 | 81.55 | 58.96 | 68.13 | |
2025.03 | 81.12 | 58.91 | 68.1 | |
2025.03 | 80.6 | 55.93 | 66.18 | |
2025.03 | 80.58 | 57.57 | 66.68 | |
2025.03 | 79.66 | - | 63.87 | |
2025.03 | 79 | 56.63 | 64.32 | |
2025.03 | 78.41 | 55.82 | 64.8 | |
2025.03 | 77.01 | 54.13 | 63.42 | |
2025.03 | 75.49 | 53.79 | 62.71 | |
2025.03 | 74.35 | 53.18 | 62.45 | |
2025.03 | 74.31 | 50.99 | 61.56 | |
2025.03 | 73.64 | 49.68 | 59.54 | |
2025.03 | 69.61 | 46.1 | 56.08 | |
2025.03 | 64.74 | 40.83 | 52.2 | |
2025.03 | 64.7 | 26.69 | 42.06 |