Multiple Instance Learning Classification on PANDA
54.6AccuracyTaxoMIL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TaxoMILEvaluation Scenario=Holistic2026.06 | 54.6 | 53.47 | 0.4127 | |
| WSI-VQAEvaluation Scenario=Holistic2026.06 | 50.28 | 49.28 | 0.3648 | |
| HiClassEvaluation Scenario=Holistic2026.06 | 50.09 | 48.24 | 0.3552 | |
| TransMILEvaluation Scenario=Holistic2026.06 | 49.72 | 47.31 | 0.3486 | |
| HMILEvaluation Scenario=Holistic2026.06 | 49.25 | 47.21 | 0.3448 | |
| CLAM-SBEvaluation Scenario=Holistic2026.06 | 49.06 | 47.42 | 0.3475 | |
| ABMILEvaluation Scenario=Holistic2026.06 | 49.06 | 47.56 | 0.3471 | |
| S4MILEvaluation Scenario=Holistic2026.06 | 49.06 | 46.72 | 0.3431 | |
| MambaMILEvaluation Scenario=Holistic2026.06 | 48.31 | 48.28 | 0.3425 | |
| Chang et al.Evaluation Scenario=Holistic2026.06 | 48.12 | 45.45 | 0.3292 | |
| ViLa-MILEvaluation Scenario=Holistic2026.06 | 47.84 | 47.33 | 0.3359 | |
| CAMPEvaluation Scenario=Holistic2026.06 | 47.47 | 43.53 | 0.3145 | |
| SlideChatEvaluation Scenario=Holistic2026.06 | 46.72 | 43.31 | 0.3093 |