Image Classification on Melanoma Public Kaggle 2020 (test)
0.9685AUCOur Submission
Evaluation results
| Method | Links | |
|---|---|---|
| Our SubmissionTTA=30, Backbone=EfficientNetB52020.12 | 0.9685 | |
| AUC-M (Meta)Loss=AUC Margin with Metadata, TTA=None, Backbone=EfficientNetB52020.12 | 0.9522 | |
| AUC-M (Meta)Loss=AUC Margin with Metadata, TTA=30, Backbone=EfficientNetB52020.12 | 0.952 | |
| AUC-MLoss=AUC Margin Loss, TTA=30, Backbone=EfficientNetB52020.12 | 0.9503 | |
| AUC-SLoss=AUC Surrogate Loss, TTA=30, Backbone=EfficientNetB52020.12 | 0.9502 | |
| AUC-S (Meta)Loss=AUC Surrogate with Metadata, TTA=30, Backbone=EfficientNetB52020.12 | 0.9501 | |
| AUC-MLoss=AUC Margin Loss, TTA=None, Backbone=EfficientNetB52020.12 | 0.9497 | |
| AUC-S (Meta)Loss=AUC Surrogate with Metadata, TTA=None, Backbone=EfficientNetB52020.12 | 0.9495 | |
| AUC-SLoss=AUC Surrogate Loss, TTA=None, Backbone=EfficientNetB52020.12 | 0.9482 | |
| CELoss=Cross-Entropy, TTA=30, Backbone=EfficientNetB52020.12 | 0.9447 | |
| FocalLoss=Focal Loss, TTA=30, Backbone=EfficientNetB52020.12 | 0.9424 | |
| FocalLoss=Focal Loss, TTA=None, Backbone=EfficientNetB52020.12 | 0.9412 | |
| CELoss=Cross-Entropy, TTA=None, Backbone=EfficientNetB52020.12 | 0.9391 |