Top-k Localization Precision and Sensitivity on Fundus
65Top-k PrecisionGradCAM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GradCAMBackbone=VGG, k=302025.05 | 65 | 0.68 | |
| sparse SoftCAMBackbone=VGG, k=302025.05 | 65 | 0.674 | |
| SoftCAMBackbone=VGG, k=302025.05 | 54 | 0.63 | |
| sparse SoftCAMBackbone=ResNet, k=302025.05 | 52 | 0.68 | |
| Guided BPBackbone=VGG, k=302025.05 | 43 | 0.57 | |
| SoftCAMBackbone=ResNet, k=302025.05 | 39 | 0.69 | |
| GradCAMBackbone=ResNet, k=302025.05 | 37 | 0.64 | |
| Itgd GradBackbone=VGG, k=302025.05 | 33 | 0.62 | |
| Guided BPBackbone=ResNet, k=302025.05 | 30 | 0.57 | |
| Itgd GradBackbone=ResNet, k=302025.05 | 28 | 0.63 | |
| LayerCAMBackbone=VGG, k=302025.05 | 23 | 0.64 | |
| LayerCAMBackbone=ResNet, k=302025.05 | 22 | 0.65 | |
| ScoreCAMBackbone=VGG, k=302025.05 | 20 | 0.67 | |
| ScoreCAMBackbone=ResNet, k=302025.05 | 16 | 0.67 |