Few-Shot Spatial Adaptation in Medical Vision-Language Models
Vision-language models (VLMs) have significantly advanced open-vocabulary image understanding by learning aligned representations from large-scale image-text datasets. Despite their zero-shot generalization capabilities, adapting these foundation models to specific application domains remains challenging. Full fine-tun...