A survey on Arabic Image Captioning Systems Using Deep Learning Models
Anfal Attai, Ashraf Elnagar · 2020
This paper describes a literature survey for the deep leaning approaches used in image captioning. Approaches will be discussed based on four main categories: model architecture, attention mechanism, image model and language model. Most of the current research focuses on generating captions in English language, leaving a gap in research for other languages, especially for Arabic language. Therefore, we will highlight the available research and approaches used to generate captions in Arabic. We will discuss the used datasets, translation approach, evaluation metrics and the results for each method. We conclude the survey by proposing some possible future directions for Arabic image captioning.