AraCap: A hybrid deep learning architecture for Arabic Image Captioning

Author:

Afyouni Imad,Azhar Imtinan,Elnagar Ashraf

Publisher

Elsevier BV

Subject

General Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Accessibility for Visually Impaired Users: A BLIP2-Powered Image Description System in Tamil;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

2. Needs Analysis of Development Ilmu Ashwat to Improve Speaking Skills Using Thunkable Applications/ تحليل احتياجات تطوير علم الأصوات العربية لتحسين مهارة الكلام باستخدام برمجة Thunkable;Ijaz Arabi Journal of Arabic Learning;2024-02-29

3. Ar-CM-ViMETA: Arabic Image Captioning based on Concept Model and Vision-based Multi-Encoder Transformer Architecture;The International Arab Journal of Information Technology;2024

4. An overview of the Image Description Systems in Arabic Language;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04

5. Towards Arabic Image Captioning: A Transformer-Based Approach;2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES);2023-10-21

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