Dual use of SAM for broader target pixel learning and DINOv3 for domain-invariant prototypes yields +1.3% and +1.4% mIoU gains over baselines on GTA-to-Cityscapes and SYNTHIA-to-Cityscapes.
In: CVPR (2020)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Dual-Foundation Models for Unsupervised Domain Adaptation
Dual use of SAM for broader target pixel learning and DINOv3 for domain-invariant prototypes yields +1.3% and +1.4% mIoU gains over baselines on GTA-to-Cityscapes and SYNTHIA-to-Cityscapes.