Image Classification on CIFAR-100 (test) (Top-1 Accuracy)
62.2Top-1 AccuracyDINO
Evaluation results
| Method | Links | |
|---|---|---|
| DINOEvaluation Protocol=linear-probe, Pre-training=ImageNet-100, Backbone=ViT-L/162026.04 | 62.2 | |
| Language Bias Bridge TrainingEvaluation Protocol=linear-probe, Pre-training=ImageNet-100, Backbone=GPT-2 baseline2026.04 | 33.4 | |
| Rotation ImageEvaluation Protocol=linear-probe, Pre-training=ImageNet-100, Backbone=GPT-2 baseline2026.04 | 32.2 | |
| MAEEvaluation Protocol=linear-probe, Pre-training=ImageNet-100, Backbone=GPT-2 baseline2026.04 | 30.7 | |
| SimCLREvaluation Protocol=linear-probe, Pre-training=ImageNet-100, Backbone=GPT-2 baseline2026.04 | 26.2 |