Progressive Subset Selection and Cascaded Consistency for Unsupervised Vision-Language Model Adaptation

Pretrained Vision-Language Models (PVLMs) achieve strong zero-shot recognition but often suffer performance degradation under target-domain shift. Unsupervised adaptation provides a practical way to improve target-domain performance without labeled data, but it remains challenging because pseudo-lab