Medical Image Classification on BrEaST (test)
89.44AccuracyUAV-IP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| UAV-IPOracle (Ora)=true, No Stopping (NS)=true2025.06 | 89.44 | 95.57 | 6.94 | |
| IUAV-IP2025.06 | 89.3 | 95.83 | 6.96 | |
| EUAV-IP2025.06 | 88.14 | 95.05 | 6.57 | |
| V-IPNo Stopping (NS)=true2025.06 | 86.49 | 94.98 | 7 | |
| HyperCBMLabeled Ratio=0.4, Backbone=ResNet342026.06 | 75.29 | 80.11 | — | |
| HyperCBM*Labeled Ratio=1.0, Backbone=ResNet342026.06 | 74.12 | 80.61 | — | |
| ResNet*Labeled Ratio=N/A, Backbone=ResNet342026.06 | 74.12 | 80.5 | — | |
| HyperCBMLabeled Ratio=0.6, Backbone=ResNet342026.06 | 73.33 | 80.75 | — | |
| CEM*Labeled Ratio=1.0, Backbone=ResNet342026.06 | 71.76 | 81.45 | — | |
| CBM*Labeled Ratio=1.0, Backbone=ResNet342026.06 | 70.98 | 79.88 | — | |
| HyperCBMLabeled Ratio=0.2, Backbone=ResNet342026.06 | 66.27 | 72 | — | |
| HyperCBMLabeled Ratio=0.01, Backbone=ResNet342026.06 | 65.88 | 67.32 | — | |
| HyperCBMLabeled Ratio=0.1, Backbone=ResNet342026.06 | 65.49 | 70.31 | — | |
| HyperCBMLabeled Ratio=0.8, Backbone=ResNet342026.06 | 64.7 | 74.49 | — |