Alaa Thobhani1,*, Beiji Zou1, Xiaoyan Kui1,*, Amr Abdussalam2, Muhammad Asim3, Mohammed ELAffendi3, Sajid Shah3
CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 3943-3964, 2025, DOI:10.32604/cmc.2025.060788
- 06 March 2025
Abstract Image captioning, the task of generating descriptive sentences for images, has advanced significantly with the integration of semantic information. However, traditional models still rely on static visual features that do not evolve with the changing linguistic context, which can hinder the ability to form meaningful connections between the image and the generated captions. This limitation often leads to captions that are less accurate or descriptive. In this paper, we propose a novel approach to enhance image captioning by introducing dynamic interactions where visual features continuously adapt to the evolving linguistic context. Our model strengthens the… More >
Login
Register
