Multi-label Classification on ImageNet Seg
89.4Top-1 Accuracy
+Multi-label FT
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.03 | 89.4 | 91.9 | |
2026.03 | 89.4 | 91.9 | |
2026.03 | 89.2 | 91.8 | |
2026.03 | 89.1 | 91.5 | |
2026.03 | 89.1 | 91.5 | |
2026.03 | 88.8 | 91.3 | |
2026.03 | 88.8 | 91.4 | |
2026.03 | 88.5 | 91.2 | |
2026.03 | 88.3 | 91.1 | |
2026.03 | 88.2 | 90.9 | |
2026.03 | 87.8 | 90.9 | |
2026.03 | 87.2 | 89.7 | |
2026.03 | 87.1 | 90.1 | |
2026.03 | 86.9 | 89.9 | |
2026.03 | 85.9 | 89.1 | |
2026.03 | 85.5 | 88.8 | |
2026.03 | 85.3 | 88.2 | |
2026.03 | 84.4 | 87.7 |