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Double-Attention Transformer for Cross-Modal Image Captioning: Enhancing Visual–Linguistic Alignment on Low-Resource Datasets

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Bibliographic Details
Published in:Applied Computational Intelligence and Soft Computing
Format: Online Article RSS Article
Published: 2026
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container_title Applied Computational Intelligence and Soft Computing
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
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genre Journal Article
id rss_article:16754
institution FRELIP
journal_source_facet Applied Computational Intelligence and Soft Computing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Double-Attention Transformer for Cross-Modal Image Captioning: Enhancing Visual–Linguistic Alignment on Low-Resource Datasets
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Double-Attention Transformer for Cross-Modal Image Captioning: Enhancing Visual–Linguistic Alignment on Low-Resource Datasets
title_auth Double-Attention Transformer for Cross-Modal Image Captioning: Enhancing Visual–Linguistic Alignment on Low-Resource Datasets
title_full Double-Attention Transformer for Cross-Modal Image Captioning: Enhancing Visual–Linguistic Alignment on Low-Resource Datasets
title_fullStr Double-Attention Transformer for Cross-Modal Image Captioning: Enhancing Visual–Linguistic Alignment on Low-Resource Datasets
title_full_unstemmed Double-Attention Transformer for Cross-Modal Image Captioning: Enhancing Visual–Linguistic Alignment on Low-Resource Datasets
title_short Double-Attention Transformer for Cross-Modal Image Captioning: Enhancing Visual–Linguistic Alignment on Low-Resource Datasets
title_sort double-attention transformer for cross-modal image captioning: enhancing visual–linguistic alignment on low-resource datasets
topic Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://www.hindawi.com/journals/acisc/2026/5733967/