Multi-class Classification on ImageNet-LT
42.25Top-1 Accuracy
RefCal
Updated 9d ago
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
2026.05 | 42.25 | 98.1 | 8.46 | 5 | 4 | 8.19 | |
2026.05 | 42.23 | 98.1 | 8.63 | 5 | 4 | 8.3 | |
2026.05 | 42.22 | 98.1 | 10.62 | 5 | 4 | 10.25 | |
2026.05 | 42.19 | 98.2 | 7.3 | 5 | 4 | 7.07 | |
2026.05 | 42.18 | 98.1 | 10.82 | 5 | 4 | 10.38 | |
2026.05 | 42.18 | 98.2 | 6.14 | 5 | 4 | 6 | |
2026.05 | 42.18 | 98.1 | 10.82 | 5 | 4 | 10.38 | |
2026.05 | 42.04 | 96.3 | 41.9 | 1 | 16 | 25.77 | |
2026.05 | 42 | 96 | 41.81 | 1 | 16 | 27.43 | |
2026.05 | 41.89 | 98.1 | 15.91 | 7 | 6 | 15.78 | |
2026.05 | 41.83 | 97.8 | 19.25 | 6 | 4 | 18.83 | |
2026.05 | 41.76 | 98.3 | 16.11 | 7 | 6 | 15.98 | |
2026.05 | 41.76 | 98.3 | 9.13 | 6 | 5 | 8.98 | |
2026.05 | 41.73 | 97.7 | 6.06 | 5 | 6 | 6.02 | |
2026.05 | 41.61 | 98.1 | 16.08 | 7 | 6 | 15.95 | |
2026.05 | 41.14 | 97.7 | 4.18 | 6 | 5 | 4.16 | |
| 40.68 | 98.4 | 8.04 | 6 | 6 | 8.03 | ||
2026.05 | 31.18 | 95.6 | 34.01 | 10 | 7 | 30.26 |