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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 12, DECEMBER 2021

Review Article on Image Captioning

Harsh Mehta, Vipul Jain, Shivani Patel, Kriti Banthia, Jitender Jaiswal

DOI: 10.17148/IJARCCE.2021.101273

Abstract: Image captioning is a task that tries to generate captions for the given photographs by combing computer vision and natural language processing. It’s a two-step process in which precise image recognition and appropriate syntactic and semantic language comprehension. Due to the rising amount of information accessible on this subject, keeping up with the newest research and findings in the field of picture captioning is becoming increasingly difficult. Current research in the field is mostly focused on deep learning-based methods, with attention mechanisms, deep reinforcement, and adversarial learning appearing to be at the forefront. In this paper we will go through various research papers which focuses on deep learning models and uses COCO dataset or Flicker dataset.

How to Cite:

[1] Harsh Mehta, Vipul Jain, Shivani Patel, Kriti Banthia, Jitender Jaiswal, “Review Article on Image Captioning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101273