Multi-label Classification on ImageNet ReaL
89.3Top-1 Accuracy
+Multi-label FT
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.03 | 89.3 | 91.1 | |
2026.03 | 89.3 | 91.2 | |
2026.03 | 88.9 | 90.6 | |
2026.03 | 88.9 | 91 | |
2026.03 | 88.8 | 90.7 | |
2026.03 | 88.8 | 90.7 | |
2026.03 | 88.7 | 90.9 | |
2026.03 | 88.6 | 90.8 | |
2026.03 | 88.2 | 90.6 | |
2026.03 | 88.1 | 90.3 | |
2026.03 | 87.7 | 90.1 | |
2026.03 | 87 | 89 | |
2026.03 | 86.7 | 89 | |
2026.03 | 86.6 | 89 | |
2026.03 | 85.6 | 88.2 | |
2026.03 | 85.4 | 88.2 | |
2026.03 | 84.7 | 87.1 | |
2026.03 | 84.1 | 87 |