Image Captioning based on Deep Learning Methods: A Survey

May 20, 2019 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Image Captioning based on Deep Learning Methods: A Survey"

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Authors Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He arXiv ID 1905.08110 Category cs.CV: Computer Vision Cross-listed cs.CL, cs.LG Citations 8 Venue arXiv.org Last Checked 3 days ago
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.
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