Semantic‐meshed and content‐guided transformer for image captioning
Semantic‐meshed and content‐guided transformer for image captioning
About this item
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Author / Creator
Li, Xuan , Zhang, Wenkai , Sun, Xian and Gao, Xin
Publisher
Stevenage: John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
Stevenage: John Wiley & Sons, Inc
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Scope and Contents
Contents
The transformer architecture has been the dominant framework for today's image captioning tasks because of its superior performance. However, existing methods based on transformer often lack the integrated use of multi‐level semantic information and are weak in maintaining the relevance of captions to the image. In this paper, a semantic‐meshed and...
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Full title
Semantic‐meshed and content‐guided transformer for image captioning
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_0cad7a1b8124486b92a7c412ce4b6cf4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0cad7a1b8124486b92a7c412ce4b6cf4
Other Identifiers
ISSN
1751-9632
E-ISSN
1751-9640
DOI
10.1049/cvi2.12099