Image Classification on Melanoma Private Kaggle 2020 (test)
94.38AUCOur Submission
Evaluation Results
| Method | Links | |
|---|---|---|
| Our SubmissionTTA=30, Backbone=EfficientNetB52020.12 | 94.38 | |
| AUC-M (Meta)Loss=AUC Margin with Metadata, TTA=30, Backbone=EfficientNetB52020.12 | 94.23 | |
| AUC-S (Meta)Loss=AUC Surrogate with Metadata, TTA=30, Backbone=EfficientNetB52020.12 | 94.09 | |
| AUC-MLoss=AUC Margin Loss, TTA=30, Backbone=EfficientNetB52020.12 | 93.93 | |
| AUC-M (Meta)Loss=AUC Margin with Metadata, TTA=None, Backbone=EfficientNetB52020.12 | 93.8 | |
| AUC-SLoss=AUC Surrogate Loss, TTA=30, Backbone=EfficientNetB52020.12 | 93.64 | |
| AUC-S (Meta)Loss=AUC Surrogate with Metadata, TTA=None, Backbone=EfficientNetB52020.12 | 93.58 | |
| AUC-MLoss=AUC Margin Loss, TTA=None, Backbone=EfficientNetB52020.12 | 93.57 | |
| CELoss=Cross-Entropy, TTA=30, Backbone=EfficientNetB52020.12 | 93.45 | |
| AUC-SLoss=AUC Surrogate Loss, TTA=None, Backbone=EfficientNetB52020.12 | 93.32 | |
| FocalLoss=Focal Loss, TTA=30, Backbone=EfficientNetB52020.12 | 93.03 | |
| CELoss=Cross-Entropy, TTA=None, Backbone=EfficientNetB52020.12 | 92.85 | |
| FocalLoss=Focal Loss, TTA=None, Backbone=EfficientNetB52020.12 | 92.66 |