Blood Cell Classification on BCCD (test)
98.14AccuracyLeukocyteCount
Evaluation Results
| Method | Links | |
|---|---|---|
| LeukocyteCountBackbone=MobileNetv2, Classifier=Logistic Regression2026.07 | 98.14 | |
| Ensaf et al.Backbone=MobileNetv1, Classifier=Logistic Regression2026.07 | 97.03 | |
| Linear CLSModel category=Non-interpretable models2024.08 | 74.5 | |
| Linear-probeModel category=Non-interpretable models2024.08 | 74.3 | |
| AdaCBMModel category=Interpretable CBM models, Concept Selection=Concept Utility Selection (ours), k=502024.08 | 74.3 | |
| AdaCBMModel category=Interpretable CBM models, Concept Selection=Concept Utility Selection (ours), k=102024.08 | 74.1 | |
| AdaCBMModel category=Interpretable CBM models, Concept Selection=Concept Utility Selection (ours), k=202024.08 | 73.8 | |
| LORA & FTModel category=Non-interpretable models2024.08 | 72.4 | |
| LaBo (10K)Model category=Interpretable CBM models, Concept Selection=Submodular, k=502024.08 | 69.2 | |
| LaBo (10K)Model category=Interpretable CBM models, Concept Selection=Submodular, k=202024.08 | 68.7 | |
| LaBo (10K)Model category=Interpretable CBM models, Concept Selection=Submodular, k=102024.08 | 66.1 | |
| Label-free CBMModel category=Interpretable CBM models2024.08 | 63.7 | |
| LaBoModel category=Interpretable CBM models, Concept Selection=Submodular, k=502024.08 | 57.6 | |
| LaBoModel category=Interpretable CBM models, Concept Selection=Submodular, k=202024.08 | 56.7 | |
| LaBoModel category=Interpretable CBM models, Concept Selection=Submodular, k=102024.08 | 54.5 | |
| Backbone FTModel category=Non-interpretable models2024.08 | 43.2 |