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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.029
Abstract: Abstract In recent years, hashing based cross-modal retrieval methods have attracted considerable attention, due to the significant reduction in computational cost and storage consumption. Most previous cross-modal hashing methods usually assume that data examples in…
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Keywords:
cross modal;
cross;
unpaired cross;
modal hashing ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-023-50242-w
Abstract: Hashing has been extensively utilized in cross-modal retrieval due to its high efficiency in handling large-scale, high-dimensional data. However, most existing cross-modal hashing methods operate as offline learning models, which learn hash codes in a…
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Keywords:
modal hashing;
cross modal;
online cross;
cross ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2020.2978876
Abstract: Cross-modal hashing retrieval methods have attracted much attention for their effectiveness and efficiency. However, most of the existing hashing methods have the problem of how to precisely learn potential correlations between different modalities from binary…
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Keywords:
hashing retrieval;
modal hashing;
cross modal;
density ... See more keywords
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Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3008335
Abstract: Unsupervised multi-modal hashing has recently attracted broad attention in research area of large-scale multimedia retrieval for its low storage cost, high retrieval speed, and independence on semantic labels. However, the model learning process of existing…
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Keywords:
multi modal;
modal hashing;
efficient parameter;
parameter free ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3342418
Abstract: Online cross-modal hashing has received increasing research attention due to its capability of encoding streaming data and updating hash functions simultaneously. Despite significant progress, there is still room for further improving accuracy from two aspects,…
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Keywords:
cross modal;
modal hashing;
online discriminative;
discriminative cross ... See more keywords
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Published in 2020 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2868826
Abstract: Cross-modal hashing maps heterogeneous multimedia data into a common Hamming space to realize fast and flexible cross-modal retrieval. Supervised cross-modal hashing methods have achieved considerable progress by incorporating semantic side information. However, they heavily rely…
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Keywords:
supervised cross;
cross modal;
modal hashing;
cross ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3171081
Abstract: Benefitting from the low storage cost and high retrieval efficiency, hash learning has become a widely used retrieval technology to approximate nearest neighbors. Within it, the cross-modal medical hashing has attracted an increasing attention in…
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Keywords:
cross modal;
retrieval;
modal hashing;
multi manifold ... See more keywords
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Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2025.3586504
Abstract: Cross-Modal Hashing (CMH) has become a powerful technique for large-scale cross-modal retrieval, offering benefits like fast computation and efficient storage. However, most CMH models struggle to adapt to streaming multimodal data in real-time once deployed.…
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Keywords:
modal hashing;
cross modal;
modal;
online cross ... See more keywords
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Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2025.3613942
Abstract: Since cross-modal hashing requires minimal storage and computation, it is becoming increasingly popular with the exponential growth of multimedia content on the internet. However, the lack of accurate supervisory data has curtailed the effectiveness of…
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Keywords:
hybrid distillation;
cross;
cross modal;
modal hashing ... See more keywords
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1
Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2974825
Abstract: Supervised cross-modal hashing has attracted much attention. However, there are still some challenges, e.g., how to effectively embed the label information into binary codes, how to avoid using a large similarity matrix and make a…
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Keywords:
binary codes;
cross modal;
cross;
modal hashing ... See more keywords
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3
Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2987312
Abstract: Due to their high retrieval efficiency and low storage cost, cross-modal hashing methods have attracted considerable attention. Generally, compared with shallow cross-modal hashing methods, deep cross-modal hashing methods can achieve a more satisfactory performance by…
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Keywords:
hash codes;
cross modal;
modal hashing;
unified hash ... See more keywords