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- W4309493213 abstract "Image captioning is a technique to generate a correct description of an image with proper structure. Now a days, Machines can describe the images and convert it into suitable language which is grammatically true. In this paper, we reviewed the existing image captioning techniques in details, divided into different categories, datasets, and results. We are focusing on those methods, which are correct grammatically and syntactically and related to deep learning (Neural network). We have also compared and reviewed the different datasets like COCO, flicker8K, etc., and results of different image captioning techniques." @default.
- W4309493213 created "2022-11-28" @default.
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- W4309493213 date "2022-11-18" @default.
- W4309493213 modified "2023-09-26" @default.
- W4309493213 title "Comparative Study on Image Captioning" @default.
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- W4309493213 doi "https://doi.org/10.47164/ijngc.v13i4.769" @default.
- W4309493213 hasPublicationYear "2022" @default.
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