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Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
title_auth Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
title_full Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
title_fullStr Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
title_full_unstemmed Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
title_short Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
title_sort retraction notice: deep learning approaches for image captioning: opportunities, challenges and future potential
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11403999