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Image-text Retrieval: A Survey on Recent Research and Development
[article]
2022
arXiv
pre-print
In the past few years, cross-modal image-text retrieval (ITR) has experienced increased interest in the research community due to its excellent research value and broad real-world application. It is designed for the scenarios where the queries are from one modality and the retrieval galleries from another modality. This paper presents a comprehensive and up-to-date survey on the ITR approaches from four perspectives. By dissecting an ITR system into two processes: feature extraction and feature
arXiv:2203.14713v3
fatcat:tgu47jcn5jfjzpogdmyuquu33m