Discrete Robust Supervised Hashing for Cross-Modal Retrieval

Discrete Robust Supervised Hashing for Cross-Modal Retrieval

Cross-modal hashing has been studied extensively in the past decades for its significant advantage in computation and storage cost. For heterogeneous data points, the cross-modal hashing aims at learning a sharing Hamming space in where one query from one modality can retrieve relevant items of anot...

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Bibliographic Details
Main Authors: Tao Yao, Zhiwang Zhang, Lianshan Yan, Jun Yue, Qi Tian
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cross-modal retrieval
roust hashing
sparse coding
low-rank
Online Access:https://ieeexplore.ieee.org/document/8633847/

Internet

https://ieeexplore.ieee.org/document/8633847/

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