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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 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 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 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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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
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2
Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2995195
Abstract: Due to the exponential growth of multimedia data, multi-modal hashing as a promising technique to make cross-view retrieval scalable is attracting more and more attention. However, most of the existing multi-modal hashing methods either divide…
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Keywords:
modal hashing;
multi modal;
enhanced discrete;
discrete multi ... See more keywords
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Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3144352
Abstract: Cross-modal hashing has garnered considerable attention and gained great success in many cross-media similarity search applications due to its prominent computational efficiency and low storage overhead. However, it still remains challenging how to effectively take…
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Keywords:
modality invariant;
cross modal;
asymmetric networks;
invariant asymmetric ... See more keywords
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Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3129623
Abstract: Deep hashing methods have achieved tremendous success in cross-modal retrieval, due to its low storage consumption and fast retrieval speed. Supervised cross-modal hashing methods have achieved substantial advancement by incorporating semantic information. However, to a…
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Keywords:
cross modal;
semi supervised;
knowledge;
cross ... See more keywords