A Comprehensive Survey of Deep Learning for Image Captioning

Author:

Hossain MD. Zakir1ORCID,Sohel Ferdous1,Shiratuddin Mohd Fairuz1,Laga Hamid1

Affiliation:

1. Murdoch University, Perth, Western Australia, Australia

Abstract

Generating a description of an image is called image captioning. Image captioning requires recognizing the important objects, their attributes, and their relationships in an image. It also needs to generate syntactically and semantically correct sentences. Deep-learning-based techniques are capable of handling the complexities and challenges of image captioning. In this survey article, we aim to present a comprehensive review of existing deep-learning-based image captioning techniques. We discuss the foundation of the techniques to analyze their performances, strengths, and limitations. We also discuss the datasets and the evaluation metrics popularly used in deep-learning-based automatic image captioning.

Funder

Australian Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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