Disjoint 15 1 On Pascal Voc 2012
Métriques
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mIoU |
|---|---|
| representation-compensation-networks-for | 54.7 |
| incremental-learning-techniques-for-semantic | 7.9 |
| ssul-semantic-segmentation-with-unknown-label | 64.01 |
| plop-learning-without-forgetting-for | 46.5 |
| continual-semantic-segmentation-via-repulsion | 48.7 |
| learning-without-forgetting | 5.3 |
| modeling-the-background-for-incremental | 39.9 |
| mitigating-background-shift-in-class | 78.1 |
| ssul-semantic-segmentation-with-unknown-label | 68.58 |