ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

IF 13.7 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Image Processing Pub Date : 2025-10-13 DOI:10.1109/tip.2025.3607618

Renqiu Xia, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Botian Shi, Junchi Yan, Bo Zhang

引用次数: 0

查看原文本刊更多论文

ChartX & ChartVLM：复杂图表推理的通用基准和基础模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Image Processing 工程技术-工程：电子与电气

CiteScore

20.90

自引率

6.60%

发文量

774

审稿时长

7.6 months

期刊介绍： The IEEE Transactions on Image Processing delves into groundbreaking theories, algorithms, and structures concerning the generation, acquisition, manipulation, transmission, scrutiny, and presentation of images, video, and multidimensional signals across diverse applications. Topics span mathematical, statistical, and perceptual aspects, encompassing modeling, representation, formation, coding, filtering, enhancement, restoration, rendering, halftoning, search, and analysis of images, video, and multidimensional signals. Pertinent applications range from image and video communications to electronic imaging, biomedical imaging, image and video systems, and remote sensing.