Semantic Consistency Cross-Modal Retrieval With Semi-Supervised Graph Regularization

Semantic Consistency Cross-Modal Retrieval With Semi-Supervised Graph Regularization

Most of the existing cross-modal retrieval methods make use of labeled data to learn projection matrices for different modal data. These methods usually learn the original semantic space to bridge the heterogeneous gap, ignoring the rich semantic information contained in unlabeled data. Accordingly,...

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Bibliographic Details
Main Authors: Gongwen Xu, Xiaomei Li, Zhijun Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cross-modal retrieval
semi-supervised
graph regularization
subspace learning
Online Access:https://ieeexplore.ieee.org/document/8957531/

Internet

https://ieeexplore.ieee.org/document/8957531/

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