Deep-VRM
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
2026.06 | 100 | 100 | 100 | 100 | 100 | 100 | - | |
2026.05 | 97.9 | 99.6 | 99.8 | 99.8 | 99.7 | 99.3 | 0.8 | |
2026.05 | 95.7 | 99.5 | 99.9 | 99.9 | 99.5 | 98.9 | 1.8 | |
2026.05 | 89.9 | 99.5 | 97.8 | 99.5 | 99.5 | 97.2 | 4.2 | |
2026.06 | 87 | 99.3 | 99.5 | 100 | 99.5 | 94 | - | |
2026.05 | 72.5 | 81.4 | 77.9 | 84.6 | 72.5 | 77.8 | 5.4 | |
2026.06 | 45 | 84.4 | 79.6 | 85.2 | 90.8 | 77 | - | |
2026.05 | 32 | 72.3 | 74 | 84.8 | 77 | 68 | 20.7 | |
2026.05 | 17.9 | 24.7 | 3.4 | 16.3 | 33.4 | 19.1 | 11.1 | |
2026.06 | 16.2 | 21.6 | 4 | 18.4 | 14.9 | 15 | - | |
2026.05 | 9.9 | 47.9 | 44.7 | 98.3 | 27.3 | 45.6 | 33.1 | |
2026.06 | 9.9 | 47.8 | 44.7 | 27.3 | 98.3 | 45.6 | - | |
2026.05 | 8.7 | 49.6 | 35.3 | 86.4 | 14.5 | 38.9 | 31.2 | |
2026.06 | 8.7 | 49.4 | 35.1 | 14.8 | 86.4 | 38.9 | - | |
2026.05 | 4 | 9.2 | 15.7 | 8.3 | 39.6 | 15.4 | 14.2 | |
2026.06 | 4 | 9.2 | 15.7 | 39.6 | 8.3 | 15.4 | - | |
2026.05 | 1 | 0.5 | 1.9 | 0.6 | 1.6 | 1.1 | 0.6 | |
2026.05 | 0.7 | 0.2 | 6.5 | 4.7 | 2.2 | 2.9 | 2.7 |