Vol. 2 No. 1 (2022): Journal of AI-Assisted Scientific Discovery
Articles

Deep Learning for Image Captioning: Analyzing deep learning approaches for generating descriptive captions for images, incorporating visual understanding and language generation

Dr. Helena Santos
Associate Professor of Electrical and Computer Engineering, University of Porto, Portugal
Cover

Published 09-03-2022

Keywords

  • Deep Learning,
  • Image Captioning

How to Cite

[1]
Dr. Helena Santos, “Deep Learning for Image Captioning: Analyzing deep learning approaches for generating descriptive captions for images, incorporating visual understanding and language generation”, Journal of AI-Assisted Scientific Discovery, vol. 2, no. 1, pp. 164–173, Mar. 2022, Accessed: Sep. 18, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/114

Abstract

Deep Learning for Image Captioning

Image captioning is a challenging task that requires a deep understanding of both visual content and natural language. In recent years, deep learning techniques have shown remarkable progress in generating descriptive captions for images. This paper presents a comprehensive review and analysis of deep learning approaches for image captioning. We discuss various architectures, training strategies, and evaluation metrics used in this field. Additionally, we explore the challenges and future directions of research in deep learning-based image captioning.

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