Image Clustering On Imagenet 100
Métriques
ACCURACY
ARI
NMI
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | ACCURACY | ARI | NMI |
|---|---|---|---|
| the-single-noun-prior-for-image-clustering | 0.731 | 0.628 | 0.805 |
| exploring-the-limits-of-deep-image-clustering | 0.8343 | 0.7581 | 0.9006 |
| exploring-the-limits-of-deep-image-clustering | 0.8286 | 0.7408 | 0.8853 |
| learning-to-classify-images-without-labels | 0.662 | 0.544 | 0.787 |
| exploring-the-limits-of-deep-image-clustering | 0.7505 | 0.6545 | 0.8565 |