Class-Incremental Learning on ObjectNet
83.8Average Accuracy
Joint full fine-tuning
Updated 20d ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2023.07 | 83.8 | - | |
2023.07 | 79.9 | - | |
2026.01 | 76.97 | 66.51 | |
2026.01 | 76.46 | 66.32 | |
2026.02 | 76.38 | 66.58 | |
2026.01 | 76.11 | 66.37 | |
2026.01 | 74.69 | 63.62 | |
2026.01 | 74.69 | 63.62 | |
2026.02 | 74.69 | 63.62 | |
2026.01 | 73.65 | 62.45 | |
2026.01 | 73.65 | 62.45 | |
2026.02 | 73.65 | 62.45 | |
2026.01 | 72.76 | 62.02 | |
2026.01 | 72.76 | 62.02 | |
2026.02 | 72.76 | 62.02 | |
2026.01 | 72.61 | 58.52 | |
2026.01 | 72.55 | 61.3 | |
2026.01 | 72.55 | 61.3 | |
2026.02 | 72.55 | 61.3 | |
2026.01 | 70.84 | 57.86 | |
2026.01 | 70.84 | 57.86 | |
2026.02 | 70.84 | 57.86 | |
2026.01 | 67.18 | 55.24 | |
2026.01 | 67.18 | 55.24 | |
2026.02 | 67.18 | 55.24 | |
2026.01 | 66.07 | 53.29 | |
2026.01 | 66.07 | 53.29 | |
2026.02 | 66.07 | 53.29 | |
2026.01 | 65.45 | 53.59 | |
2026.01 | 65.45 | 53.59 | |
2026.02 | 65.45 | 53.59 | |
2026.01 | 63.78 | 52.19 | |
2026.01 | 63.78 | 52.19 | |
2026.02 | 63.78 | 52.19 | |
2026.05 | 59.98 | 47.06 | |
2026.01 | 59.27 | 49.33 | |
2026.01 | 59.27 | 49.33 | |
2026.02 | 59.27 | 49.33 | |
2026.05 | 59.21 | 46.95 | |
2026.05 | 58.53 | 45.11 | |
2026.05 | 56.07 | 43.69 | |
2026.05 | 53.28 | 47.59 | |
2026.05 | 52.62 | 40.72 | |
2026.05 | 52.06 | 40.13 | |
2026.05 | 51.89 | 46.76 | |
2026.05 | 51.4 | 39.39 | |
2026.05 | 49.8 | 43.56 | |
2026.05 | 49.08 | 42.92 | |
2026.05 | 48.91 | 42.83 | |
2026.05 | 48.9 | 43.62 | |
2026.05 | 48.67 | 27.43 | |
2026.05 | 46.49 | 34.13 | |
2026.05 | 45.11 | 40.13 | |
2026.05 | 40.57 | 34.13 | |
2026.05 | 39.28 | 28.73 | |
2026.05 | 38.43 | 26.43 | |
2026.05 | 31.12 | 26.43 | |
2026.01 | 19.14 | 8.73 | |
2026.01 | 19.14 | 8.73 | |
2026.02 | 19.14 | 8.73 |