Open access
Jul 2024
Efficient unsupervised domain adaptation via self-supervised vision transformer and synergistic cross-domain alignment
Efficient Unsupervised Domain Adaptation (EUDA) is proposed, a parameter-efficient framework that leverages a frozen DINOv2 backbone as a feature extractor and updates only a lightweight bottleneck and classification head to promote both discriminative learning and cross-domain alignment.
Ali Abedi, Q. M. J. Wu, Ning Zhang et al.
· International Journal of Mac... · 9 citations