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Semantic‐meshed and content‐guided transformer for image captioning

Semantic‐meshed and content‐guided transformer for image captioning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0cad7a1b8124486b92a7c412ce4b6cf4

Semantic‐meshed and content‐guided transformer for image captioning

About this item

Full title

Semantic‐meshed and content‐guided transformer for image captioning

Publisher

Stevenage: John Wiley & Sons, Inc

Journal title

IET Computer Vision, 2022-08, Vol.16 (5), p.431-444

Language

English

Formats

Publication information

Publisher

Stevenage: John Wiley & Sons, Inc

More information

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...

Alternative Titles

Full title

Semantic‐meshed and content‐guided transformer for image captioning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

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

How to access this item