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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

A Survey on Attention-Based Models for Image Captioning

Author 1: Asmaa A. E. Osman
Author 2: Mohamed A. Wahby Shalaby
Author 3: Mona M. Soliman
Author 4: Khaled M. Elsayed

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2023.0140249

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 2, 2023.

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Abstract: Image captioning task is highly used in many real-world applications. The captioning task is concerned with understanding the image using computer vision methods. Then, natural language processing methods are used to produce a description for the image. Different approaches were proposed to solve this task, and deep learning attention-based models have been proven to be the state-of-the-art. A survey on attention-based models for image captioning is presented in this paper including new categories that were not included in other survey papers. The attention-based approaches are classified into four main categories, further classified into subcategories. All categories and subcategories of the attention-based approaches are discussed in detail. Furthermore, the state-of-the-art approaches are compared and the accuracy improvements are stated especially in the transformer-based models, and a summary of the benchmark datasets and the main performance metrics is presented.

Keywords: Image captioning; attention model; deep learning; computer vision; natural language processing

Asmaa A. E. Osman, Mohamed A. Wahby Shalaby, Mona M. Soliman and Khaled M. Elsayed, “A Survey on Attention-Based Models for Image Captioning” International Journal of Advanced Computer Science and Applications(IJACSA), 14(2), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140249

@article{Osman2023,
title = {A Survey on Attention-Based Models for Image Captioning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140249},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140249},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {2},
author = {Asmaa A. E. Osman and Mohamed A. Wahby Shalaby and Mona M. Soliman and Khaled M. Elsayed}
}


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