Unsupervised Semantic Segmentation On
Métriques
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mIoU |
|---|---|
| grapix-exploring-graph-modularity | 14.54 |
| vice-self-supervised-visual-concept | 25.2 |
| picie-unsupervised-semantic-segmentation | 12.3 |
| eagle-eigen-aggregation-learning-for-object | 19.7 |
| boosting-unsupervised-semantic-segmentation | 21.6 |
| unsupervised-semantic-segmentation-by-2 | 21.0 |
| grapix-exploring-graph-modularity | 14.33 |
| grapix-exploring-graph-modularity | - |
| expand-and-quantize-unsupervised-semantic | 22.0 |
| boosting-unsupervised-semantic-segmentation | 19.4 |
| deep-clustering-for-unsupervised-learning-of | 7.1 |
| causal-unsupervised-semantic-segmentation | 29.9 |
| leveraging-hidden-positives-for-unsupervised | 18.4 |
| eagle-eigen-aggregation-learning-for-object | 22.1 |
| causal-unsupervised-semantic-segmentation | 28.0 |