Fusion of deep transfer learning models with Gannet optimisation algorithm for an advanced image captioning system for visual disabilities

The issue of generating a natural language explanation of images to define their visual content has garnered significant attention in computer vision (CV) and natural language processing (NLP). It is driven by applications such as image virtual assistants, indexing and retrieval, image perception, a...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 40446 - 20
Hauptverfasser:	Alkhaldi, Tareq M., Asiri, Mashael M., Alzahrani, Fahad, Sharif, Mahir Mohammed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 18.11.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	631/114 639/705 Accuracy Algorithms Artificial intelligence Blindness Chatbots Computer vision Contrast enhancement Datasets Deep Learning Disabilities Gannet optimisation algorithm Humanities and Social Sciences Humans Image captioning Image Processing, Computer-Assisted - methods Integrated approach Language Methods multidisciplinary Natural Language Processing Neural networks Neural Networks, Computer Persons with Visual Disabilities Quality of life Science Science (multidisciplinary) Speech perception Speech recognition Transfer learning Vision Disorders Visual disabilities Visual impairment Gannet optimisation algorithm Visual disabilities Image captioning Transfer learning Contrast enhancement
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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