Image Clustering On Imagenet 50 1
Metriken
ACCURACY
ARI
NMI
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | ACCURACY | ARI | NMI |
|---|---|---|---|
| exploring-the-limits-of-deep-image-clustering | 0.801 | 0.7093 | 0.8610 |
| exploring-the-limits-of-deep-image-clustering | 0.8827 | 0.8272 | 0.9232 |
| exploring-the-limits-of-deep-image-clustering | 0.8487 | 0.7646 | 0.8814 |
| learning-to-classify-images-without-labels | 0.751 | 0.635 | 0.805 |
| the-single-noun-prior-for-image-clustering | 0.827 | 0.744 | 0.847 |