IEEE

Cross-Modality Image Interpretation via Concept Decomposition Vector of Visual-Language Models

Abstract: Interpretable image classification is crucial for making decisions in high-stakes scenarios. Recent advancements have demonstrated that interpretable models can achieve performance ...
Frontiers

Diagnostic performance of large language models on the NEJM image challenge: a comparative study with human evaluators and the impact of prompt engineering

1 Department of Radiation Oncology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China 2 Tsinghua Medicine, School of Medicine, ...
IEEE

SARCLIP: The First Vision–Language Foundation Model for SAR Image

Abstract: Foundation models have achieved remarkable breakthroughs across various domains, with the widely use of masked image modeling (MIM) and self-supervised learning (SSL). However, these models ...