Multi-class Image Classification on ISIC 10% labels 2019 (test)
43.95Balanced AccuracyCASS
Evaluation results
| Method | Links | |
|---|---|---|
| CASSBackbone=ViT B/162022.06 | 43.95 | |
| CASSBackbone=ResNet-502022.06 | 41 | |
| DINOBackbone=ViT B/162022.06 | 39.98 | |
| DINOBackbone=ResNet-502022.06 | 37.97 | |
| SupervisedBackbone=ViT B/162022.06 | 35.86 | |
| SupervisedBackbone=ResNet-502022.06 | 30.7 |