Classification on CPB original (test)
92.4AccuracyAttention-based MIL-Guided (Bag + Inst. Models)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Attention-based MIL-Guided (Bag + Inst. Models)Resolution=1200×1200, Training Setup=Best, W. (M)=8.12021.10 | 92.4 | 91.8 | |
| MIL-Guided (Bag + Inst. Models)Resolution=1200×1200, Training Setup=Best, W. (M)=8.12021.10 | 90.9 | 89 | |
| Attention-based MIL-Guided (Bag + Inst. Models)Resolution=1200×1200, Training Setup=Trained on NCPB, W. (M)=8.12021.10 | 90.2 | 89 | |
| Attention-based MIL-Guided (Bag + Inst. Models)Resolution=800×800, Training Setup=Best, W. (M)=8.12021.10 | 82.1 | 80.1 | |
| Attention-based MIL-Guided (Bag Model)Resolution=1200×1200, Training Setup=Trained on NCPB, W. (M)=4.052021.10 | 79.2 | 76.6 | |
| MIL-Guided (Bag + Inst. Models)Resolution=800×800, Training Setup=Best, W. (M)=8.12021.10 | 78.8 | 73.4 | |
| Attention-based MIL-Guided (Bag + Inst. Models)Resolution=800×800, Training Setup=Trained on NCPB, W. (M)=8.12021.10 | 78.1 | 76.8 | |
| WILDCAT (EfficientNet)Resolution=1200×1200, Training Setup=Trained on NCPB, W. (M)=4.032021.10 | 76.4 | 73 | |
| Attention-based MIL-Guided (Bag Model)Resolution=800×800, Training Setup=Trained on NCPB, W. (M)=4.052021.10 | 74.1 | 72.4 | |
| WILDCAT (ResNet101)Resolution=1200×1200, Training Setup=Trained on NCPB, W. (M)=42.52021.10 | 71.9 | 68.2 | |
| WILDCAT (EfficientNet)Resolution=800×800, Training Setup=Trained on NCPB, W. (M)=4.032021.10 | 70 | 67.9 | |
| Attention-based Deep MIL (EfficientNet)Resolution=1200×1200, Training Setup=Trained on NCPB, W. (M)=10.02021.10 | 67.1 | 63.4 | |
| WILDCAT (ResNet101)Resolution=800×800, Training Setup=Trained on NCPB, W. (M)=42.52021.10 | 65.5 | 55.4 | |
| Attention-based Deep MIL (LeNet)Resolution=800×800, Training Setup=Trained on NCPB, W. (M)=552.02021.10 | 63.6 | 62.2 | |
| Attention-based Deep MIL (EfficientNet)Resolution=800×800, Training Setup=Trained on NCPB, W. (M)=10.02021.10 | 63.3 | 66.8 |