Abstract: This study addresses the field of text-to-image conversion using deep learning techniques. The problem at issue concerns producing lifelike images from written descriptions, which has ...

Background: The study of disease progression relies on clinical data, including text data, and extracting valuable features from text data has been a research hot spot. With the rise of large language ...

Abstract: Existing Referring Image Segmentation (RIS) methods typically require expensive pixel-level or box-level annotations for supervision. In this paper, we observe that the referring texts used ...