Detecting Errors in Automatic Image Captioning by Deep Learning;
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Date
2021
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Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
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Abstract
Automatic tagging of images is an important researcli topic in tlie field of image processing. Anotlier area similar to this is the automatic generation of picture captions. In this study, a deep learning model that automatically tags the pictures is used to detect errors in image captions. As a result of the initial experiments, it is observed that the proposed system can find up to 80% of the errors in the image captions. © 2021 IEEE
Description
Keywords
Captioning, Deep learning, Deep neural networks, Error detection, Image processing, Tagging
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Source
Proceedings - 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 15 September 2021 through 17 September 2021 -- Ankara -- 176826
Volume
Issue
Start Page
46
End Page
49
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Scopus : 2
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2
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1
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