Ali Abedi

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.