摘要
随着深度学习和自然语言处理方法的发展,多模态技术在人们的日常生活中得到广泛应用。本文利用CiteSpace软件检索中国知网数据库,分析近十年多模态技术研究现状,为相关科研人员提供了研究思路。本文筛选了1 027篇相关期刊文献进行分析,发现多模态技术的文献数量呈上升趋势,反映了对该技术的持续关注。其研究热点为图像融合、视觉问答等,在医学图像以及日常社交中都有应用;未来多模态技术可能的发展趋势在“生理信号”与“自动驾驶”等方面。
With the advancement of deep learning and natural language processing techniques,multimodal technology has found widespread applications in daily life.This paper employs CiteSpace software to examine the research trends of multimodal technology over the past decade,based on the China National Knowledge Infrastructure(CNKI) database,providing valuable research insights for scholars in the field.This paper selected and analyzed 1 027 relevant journal articles.The analysis reveals that the number of publications on multimodal technology has been increasing,reflecting sustained interest in this field.Additionally,research hotspots include image fusion and visual question answering,with applications in medical imaging and social interaction.Future developments in multimodal technology are likely to focus on areas such as physiological signal processing and autonomous driving.
作者
李萍
王丽丽
LI Ping;WANG Lili(School of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin 132022,Jilin,China;School of Computer and Information,Dezhou University,Dezhou 253023,Shandong,China)
出处
《智能计算机与应用》
2025年第1期194-202,共9页
Intelligent Computer and Applications
基金
国家自然科学基金(11903008)
山东省德州市市级研发计划项目(2022dzkj098)。
作者简介
李萍(1999-),女,硕士研究生,主要研究方向:人工智能技术及应用;通信作者:王丽丽(1981-),女,博士,教授,主要研究方向:大数据挖掘,机器学习。Email:jsjxwll@126.com。
