Image Captioning based on Deep Learning Methods: A Survey

TL;DR

This survey reviews recent deep learning techniques for image captioning, covering encoder-decoder architectures, improvements, and future research directions in the field.

Contribution

It provides a comprehensive overview of advancements in deep learning-based image captioning and discusses potential future research areas.

Findings

Deep learning has significantly advanced image captioning.

Encoder-decoder structures are central to current methods.

Future research should focus on improving accuracy and efficiency.

Abstract

Image captioning is a challenging task and attracting more and more attention in the field of Artificial Intelligence, and which can be applied to efficient image retrieval, intelligent blind guidance and human-computer interaction, etc. In this paper, we present a survey on advances in image captioning based on Deep Learning methods, including Encoder-Decoder structure, improved methods in Encoder, improved methods in Decoder, and other improvements. Furthermore, we discussed future research directions.