Computational Efficiency Analysis on Computational Efficiency
0.6Trainable Parameters (M)
ABMIL
Updated 25d ago
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
2026.06 | 0.6 | 0.32 | 18.24 | 1.18 | |
2026.06 | 0.6 | 2.49 | 18.22 | 1.18 | |
2026.06 | 0.83 | 0.46 | 20.12 | 1.58 | |
2026.06 | 1.1 | 0.8 | 163.83 | 1.07 | |
2026.06 | 1.35 | 1.1 | 27.33 | 6.45 | |
2026.06 | 2.69 | 3.16 | 99.37 | 24.99 | |
2026.06 | 4 | 1.02 | 55.32 | 7.87 | |
2026.06 | 4.33 | 0.94 | 33.47 | 1.58 | |
2026.06 | 23.96 | 288.92 | 235.56 | 701.39 | |
2026.06 | 47.21 | 16.55 | 267.35 | 166.23 | |
2026.06 | 55.34 | 204.77 | 1,834.67 | 84.37 | |
2026.06 | 218.77 | 114.37 | 897.44 | 14.08 | |
2026.06 | 3,117.45 | 97.33 | 6,671.69 | 6,352.55 |