Computer vision has made remarkable advances through data-driven learning of image-text associations. Large-scale vision and language models like CLIP, SAM, and ChatGPT can generate compelling descriptions of images. However, these models, trained with scripted data and limited grounding, often struggle to provide detailed visual evidence and to generalize across a ...
