Detecting Errors in Automatic Image Captioning by Deep Learning

M. Karakaya
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Abstract

Automatic tagging of images is an important research topic in the field of image processing. Another 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.
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基于深度学习的自动图像字幕错误检测
图像自动标注是图像处理领域的一个重要研究课题。另一个类似的领域是自动生成图片说明。在本研究中,使用自动标记图片的深度学习模型来检测图像标题中的错误。初步的实验结果表明,所提出的系统可以发现图像标题中高达80%的错误。
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