Image Classification Accuracy on CIFAR-10
98.4AccuracyOPAL
Evaluation results
| Method | Links | |
|---|---|---|
| OPALManual labelling effort=Identical to RQ1, Fine-tuning=85%2025.07 | 98.4 | |
| B-ViTManual labelling effort=Identical to RQ1, Fine-tuning=85%, Backbone=ViT2025.07 | 95.9 | |
| B-VGGManual labelling effort=Identical to RQ1, Fine-tuning=85%, Backbone=VGG2025.07 | 95 | |
| B-PseudoManual labelling effort=Identical to RQ1, Fine-tuning=85%2025.07 | 94.6 | |
| B-ResNetManual labelling effort=Identical to RQ1, Fine-tuning=85%, Backbone=ResNet2025.07 | 94.2 |