Semantic Segmentation On Dark Zurich
Métriques
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mIoU |
|---|---|
| hrda-context-aware-high-resolution-domain | 55.9 |
| zero-shot-domain-adaptation-with-a-physics | 34.5 |
| mic-masked-image-consistency-for-context | 60.2 |
| sepico-semantic-guided-pixel-contrast-for | 45.4 |
| dannet-a-one-stage-domain-adaptation-network | 36.76 |
| dannet-a-one-stage-domain-adaptation-network | 42.5 |
| semantic-nighttime-image-segmentation-with | 42.0 |
| map-guided-curriculum-domain-adaptation-and | 42.5 |
| refign-align-and-refine-for-adaptation-of | 63.9 |
| refign-align-and-refine-for-adaptation-of | 56.2 |
| sepico-semantic-guided-pixel-contrast-for | 54.2 |
| daformer-improving-network-architectures-and | 53.8 |
| gps-glass-learning-nighttime-semantic | 46.4 |
| coda-instructive-chain-of-domain-adaptation | 61.2 |