Unsupervised Classification on Oxford 102 Flowers
30.45PurityCoFi-UCGen (E)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CoFi-UCGen (E)Backbone=ResNet, Dim.=300, Pre-training type=Unsupervised / Self-supervised Pre-training2026.06 | 30.45 | 51.47 | |
| DINOBackbone=ViT-B/16, Dim.=768, Pre-training type=Unsupervised / Self-supervised Pre-training2026.06 | 22.94 | 41.77 | |
| ResNet-50Backbone=ResNet-50, Dim.=2048, Pre-training type=Supervised Pre-training2026.06 | 20.71 | 32.96 | |
| DINOBackbone=ResNet-50, Dim.=2048, Pre-training type=Unsupervised / Self-supervised Pre-training2026.06 | 20.61 | 32.04 | |
| DenseNet121Backbone=DenseNet121, Dim.=1024, Pre-training type=Supervised Pre-training2026.06 | 20.33 | 32.61 | |
| MSNBackbone=ViT-B/16, Dim.=768, Pre-training type=Unsupervised / Self-supervised Pre-training2026.06 | 20.01 | 34.12 | |
| VGG19Backbone=VGG19, Dim.=512, Pre-training type=Supervised Pre-training2026.06 | 17.46 | 28.15 | |
| MAEBackbone=ViT-B/16, Dim.=768, Pre-training type=Unsupervised / Self-supervised Pre-training2026.06 | 12.98 | 25.83 | |
| SimCLRBackbone=ResNet-50, Dim.=2048, Pre-training type=Unsupervised / Self-supervised Pre-training2026.06 | 7.61 | 12.82 |