Domain Adaptation On Cityscapes To Acdc
Métriques
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mIoU |
|---|---|
| dacs-domain-adaptation-via-cross-domain-mixed | 41.2 |
| refign-align-and-refine-for-adaptation-of | 65.5 |
| daformer-improving-network-architectures-and | 55.4 |
| vblc-visibility-boosting-and-logit-constraint | 47.8 |
| mic-masked-image-consistency-for-context | 70.4 |
| learning-content-enhanced-mask-transformer | 60.1 |
| refign-align-and-refine-for-adaptation-of | 72.1 |
| sora-singular-value-decomposed-low-rank | 78.8 |
| dannet-a-one-stage-domain-adaptation-network | 50.0 |
| fda-fourier-domain-adaptation-for-semantic | 45.7 |
| vblc-visibility-boosting-and-logit-constraint | 64.2 |
| hrda-context-aware-high-resolution-domain | 68.0 |
| stronger-fewer-superior-harnessing-vision | 77.6 |
| map-guided-curriculum-domain-adaptation-and | 48.7 |
| coda-instructive-chain-of-domain-adaptation | 72.6 |
| hyperbolic-active-learning-for-semantic | 71.9 |