Domain Generalization On Gta5 To Cityscapes
Métriques
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mIoU |
|---|---|
| semantic-self-adaptation-enhancing | 46.99 |
| stronger-fewer-superior-harnessing-vision | 66.4 |
| generalize-then-adapt-source-free-domain | 43.5 |
| vltseg-simple-transfer-of-clip-based-vision | 65.6 |
| diffusion-features-to-bridge-domain-gap-for | 58.01 |
| textual-query-driven-mask-transformer-for | 68.88 |
| learning-content-enhanced-mask-transformer | 55.31 |