多模态大模型

Generating Accurate and Detailed Captions for High-Resolution Images

Hankyeol Lee, Gawon Seo, Kyounggyu Lee, Dogun Kim, Kyungwoo Song, Jiyoung Jung

机构 * Department of Artificial Intelligence, University of Seoul（首尔大学人工智能系） ； Department of Computer Science and Engineering, POSTECH（POSTECH计算机科学与工程系） ； Department of Applied Statistics, Yonsei University（延世大学应用统计系） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV、cs.AI

Comments Work conducted in 2024; released for archival purposes

Transformers in Medicine: Improving Vision-Language Alignment for Medical Image Captioning

Yogesh Thakku Suresh, Vishwajeet Shivaji Hogale, Luca-Alexandru Zamfira, Anandavardhana Hegde

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV、cs.AI

Comments This work is to appear in the Proceedings of MICAD 2025, the 6th International Conference on Medical Imaging and Computer-Aided Diagnosis

ECVL-ROUTER: Scenario-Aware Routing for Vision-Language Models

Xin Tang, Youfang Han, Fangfei Gou, Wei Zhao, Xin Meng, Yang Yu, Jinguo Zhang, Yuanchun Shi, Yuntao Wang, Tengxiang Zhang

机构 * Tsinghua University（清华大学） ； Goertek Inc（歌尔股份有限公司） 纠错

专题命中 图文多模态 ：multimodal(abstract)

Comments 23 pages, 13 figures, 7 tables