Object-Level Visual-Text Correlation Graph Hashing for Unsupervised Cross-Modal Retrieval

Object-Level Visual-Text Correlation Graph Hashing for Unsupervised Cross-Modal Retrieval

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The core of cross-modal hashing methods is to map high dimensional features into binary hash codes, which can then efficiently utilize the Hamming distance metric to enhance retrieval efficiency. Recent development emphasizes the advantages of the unsupervised cross-modal hashing technique, since it...

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Bibliographic Details
Main Authors: Chen, Y. (Author), Li, F. (Author), Shi, G. (Author), Wu, L. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Correlation graphs
Cross-modal
cross-modal hash learning
Cross-modal hash learning
Deep learning
deep model
Deep model
Dependency relationship
Hamming distance
Hash functions
Hashing method
hashing retrieval
Hashing retrieval
Higher dimensional features
Image regions
Intermodality
Modal analysis
Semantics
Online Access:View Fulltext in Publisher
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