Semi Supervised Semantic Segmentation On 10
Métriques
Validation mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Validation mIoU |
|---|---|
| semivl-semi-supervised-semantic-segmentation | 87.3 |
| perturbed-and-strict-mean-teachers-for-semi | 80.01 |
| revisiting-and-maximizing-temporal-knowledge | 81.6 |
| allspark-reborn-labeled-features-from | 82.12 |
| corrmatch-label-propagation-via-correlation | 81.8 |
| semi-supervised-semantic-segmentation-via | 74.85 |
| semivl-semi-supervised-semantic-segmentation | 84.0 |
| revisiting-and-maximizing-temporal-knowledge | 79.3 |
| revisiting-weak-to-strong-consistency-in-semi | 81.2 |
| unimatch-v2-pushing-the-limit-of-semi | 90.8 |
| guidedmix-net-learning-to-improve-pseudo | 73.7 |
| semi-supervised-semantic-segmentation-using-2 | 79.5 |
| semi-supervised-semantic-segmentation-via-3 | 81.56 |
| semi-supervised-semantic-segmentation-via-3 | 0.7941 |
| perturbed-and-strict-mean-teachers-for-semi | 78.08 |