Image Classification on Oxford-IIIT Pet (mean per class accuracy)
0.971Mean Per Class AccuracyDom-Ad
Evaluation Results
| Method | Links | |
|---|---|---|
| Dom-AdBackbone=Inception-v32020.09 | 0.971 | |
| FullBackbone=ResNet-50, Pre-training=JFT, Protocol=Full2020.09 | 0.97 | |
| Dom-AdBackbone=AmoebaNet-B2020.09 | 0.968 | |
| NNCLR + SupArch=ViT-B/82021.04 | 0.949 | |
| AdaptersBackbone=ResNet-50, Pre-training=JFT, Protocol=Adapters2020.09 | 0.946 | |
| BaselineBackbone=ResNet-502020.09 | 0.945 | |
| Sup. INArch=ViT-B/82021.04 | 0.932 | |
| NNCLRArch=ViT-B/82021.04 | 0.928 | |
| NNCLRArch=ViT-B/162021.04 | 0.925 | |
| NNCLRArch=R502021.04 | 0.918 | |
| Sup. INArch=R502021.04 | 0.915 | |
| Sup. INArch=ViT-B/162021.04 | 0.914 | |
| BYOLArch=R502021.04 | 0.904 | |
| SimCLRArch=R502021.04 | 0.846 |