Concept Detection on SkinCon (test)
90.43Concept AccuracyHyperCBM*
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| HyperCBM*Labeled Ratio=1.0, Backbone=ResNet502026.06 | 90.43 | 62.34 | |
| CEM*Labeled Ratio=1.0, Backbone=ResNet502026.06 | 90.33 | 62.22 | |
| CBM*Labeled Ratio=1.0, Backbone=ResNet502026.06 | 90.24 | 61.72 | |
| HyperCBMLabeled Ratio=0.6, Backbone=ResNet502026.06 | 90.13 | 61.03 | |
| HyperCBMLabeled Ratio=0.8, Backbone=ResNet502026.06 | 90.12 | 60.73 | |
| HyperCBMLabeled Ratio=0.4, Backbone=ResNet502026.06 | 89.87 | 60.14 | |
| HyperCBMLabeled Ratio=0.2, Backbone=ResNet502026.06 | 89.06 | 56.71 | |
| HyperCBMLabeled Ratio=0.1, Backbone=ResNet502026.06 | 88.34 | 54.59 | |
| HyperCBMLabeled Ratio=0.01, Backbone=ResNet502026.06 | 86.08 | 50.52 |