Xiaochun Yang (Member, IECE) received the Ph.D. degree in Computer Software and Theory from Northeastern University, 110004, China, in 2001. She is currently the dean of Software College and a professor in the School of Computer Science and Engineering with Northeastern University, China. Her research interests include Big Data management and knowledge engineering, data quality management, data privacy preserving, and recommender systems. More details about her research can be found at http://faculty.neu.edu.cn/yangxiaochun.
Intelligent system is a research field that attracts much attention at present. Most of the researches on intelligent system focus on intelligent technology and its application. However, an intelligent system is first of all a system, which means it should have the characteristics of a system. Design of conventional system is mainly function- or task-oriented, and adaptation to environment is passive, static and regular. However, intelligent system is faced with a complex, random and dynamic environment, and has dynamic interaction with the environment. Behind this interaction behavior is a fusion of perception, cognition, and decision-making processes, supported by multi-source information... More >
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Open Access
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Review Article
| 12 June 2024
| Cited:
4
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5
The rapid advancement of Internet technology, driven by social media and e-commerce platforms, has facilitated the generation and sharing of multimodal data, leading to increased interest in efficient cross-modal retrieval systems. Cross-modal image-text retrieval, encompassing tasks such as image query text (IqT) retrieval and text query image (TqI) retrieval, plays a crucial role in semantic searches across modalities. This paper presents a comprehensive survey of cross-modal image-text retrieval, addressing the limitations of previous studies that focused on single perspectives such as subspace learning or deep learning models. We categorize existing models into single-tower, dual-tower,... More >
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