Image Clustering On Mnist
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| TURTLE (CLIP + DINOv2) | 97.8 | Let Go of Your Labels with Unsupervised Transfer | |
| CoHiClust | 0.99 | Contrastive Hierarchical Clustering | |
| SNNL-7 | - | Improving k-Means Clustering Performance with Disentangled Internal Representations |
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