Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | TURTLE (CLIP + DINOv2) | 72.9 | No | Let Go of Your Labels with Unsupervised Transfer | 2024-06-11 | Code |
| 2 | MIM-Refiner (D2V2-ViT-H/14) | 67.3 | No | MIM-Refiner: A Contrastive Learning Boost from I... | 2024-02-15 | Code |
| 3 | PRO-DSC | 65 | No | Exploring a Principled Framework for Deep Subspa... | 2025-03-21 | Code |
| 4 | MIM-Refiner (MAE-ViT-H/14) | 64.6 | No | MIM-Refiner: A Contrastive Learning Boost from I... | 2024-02-15 | Code |
| 5 | TEMI MSN (ViT-L) | 61.6 | No | Exploring the Limits of Deep Image Clustering us... | 2023-03-31 | Code |
| 6 | MAE-CT (ViT-H/16 best) | 58 | No | Contrastive Tuning: A Little Help to Make Masked... | 2023-04-20 | Code |
| 7 | TEMI DINO (ViT-B) | 58 | No | Exploring the Limits of Deep Image Clustering us... | 2023-03-31 | Code |
| 8 | MAE-CT (ViT-H/16 mean) | 57.1 | No | Contrastive Tuning: A Little Help to Make Masked... | 2023-04-20 | Code |
| 9 | SeCu | 53.5 | No | Stable Cluster Discrimination for Deep Clustering | 2023-11-24 | Code |
| 10 | CoKe | 47.6 | No | Stable Cluster Discrimination for Deep Clustering | 2023-11-24 | Code |
| 11 | SCAN | 39.9 | No | SCAN: Learning to Classify Images without Labels | 2020-05-25 | Code |