#7356. Boosting convolutional image captioning with semantic content and visual relationship

August 2026publication date
Proposal available till 13-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Electrical and Electronic Engineering;
Hardware and Architecture;
Human-Computer Interaction;
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Abstract:
Image captioning aims to display automatically the natural language sentence for the image by the computer, which is an important but a challenging task which covers the fields of computer vision and natural language processing. This task is dominated by Long-short term memory based solutions. We propose a framework using a generation model to generate image captions with the help of conditional generative adversarial training.
Keywords:
Generative adversarial network; Graph convolution network; Image captioning

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