Cross-modal semantic autoencoder with embedding consensus
Cross-modal semantic autoencoder with embedding consensus
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Cross-modal retrieval has become a topic of popularity, since multi-data is heterogeneous and the similarities between different forms of information are worthy of attention. Traditional single-modal methods reconstruct the original information and lack of considering the semantic similarity between different data. In this work, a cross-modal seman...
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Cross-modal semantic autoencoder with embedding consensus
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TN_cdi_doaj_primary_oai_doaj_org_article_d0410277df8f47fd83d9a09d80cd0bc3
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0410277df8f47fd83d9a09d80cd0bc3
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-92750-7
