A Survey of Full-Cycle Cross-Modal Retrieval: From a Representation Learning Perspective

A Survey of Full-Cycle Cross-Modal Retrieval: From a Representation Learning Perspective

Cross-modal retrieval aims to elucidate information fusion, imitate human learning, and advance the field. Although previous reviews have primarily focused on binary and real-value coding methods, there is a scarcity of techniques grounded in deep representation learning. In this paper, we concentra...

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Bibliographic Details
Main Authors:	Suping Wang, Ligu Zhu, Lei Shi, Hao Mo, Songfu Tan
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Applied Sciences
Subjects:	cross-modal retrieval representation learning full-cycle modeling feature engineering pre-training tasks
Online Access:	https://www.mdpi.com/2076-3417/13/7/4571

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