Detecting Errors in Automatic Image Captioning by Deep Learning;

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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

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Captioning, Deep learning, Deep neural networks, Error detection, Image processing, Tagging

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2

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46

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49

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Mendeley Readers : 5

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