HyperAI

Unsupervised Domain Adaptation On Synthia To

Métriques

mIoU
mIoU (13 classes)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif
Nom du modèlemIoUmIoU (13 classes)
rethinking-ensemble-distillation-for-semantic52.5859.95
procst-boosting-semantic-segmentation-using-68.2
transferring-to-real-world-layouts-a-depth69.375.9
adaptive-boosting-for-domain-adaptation45.952.9
rectifying-pseudo-label-learning-via47.954.9
adaptive-boosting-for-domain-adaptation50.457.5
hrda-context-aware-high-resolution-domain65.872.4
mic-masked-image-consistency-for-context67.374.0
dual-level-interaction-for-domain-adaptive63.370.1
cluda-contrastive-learning-in-unsupervised67.2-
unsupervised-scene-adaptation-with-memory43.250.2
sepico-semantic-guided-pixel-contrast-for-66.5
smoothing-matters-momentum-transformer-for-66.3
2408-0226161.4-
prototypical-contrast-adaptation-for-domain-59.6
daformer-improving-network-architectures-and60.967.4
pipa-pixel-and-patch-wise-self-supervised-74.8
a-novel-unsupervised-domain-adaption-method54.561.4
2408-0226168.875.9
sepico-semantic-guided-pixel-contrast-for-71.4
g2l-a-global-to-local-alignment-method-for56.864.4