各种图像字幕模型的比较研究

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI:10.1109/ICRAECC43874.2019.8995014

Rahul Mahanty, Seva Mahapatra, A. Nayak, Ayes Chinmay

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引用次数: 4

摘要

本文简要介绍了用于图像字幕的不同模型。讨论了当前机器翻译和目标识别领域的进展如何极大地提高了图像字幕模型的性能。本文还讨论了模型的实现。最后，采用标准评价矩阵对模型的性能进行评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparative Study of Various Image Captioning Models

This paper briefly tells about the different models used for image captioning. It also discusses how the progress in the areas of machine translation and object recognition which has eventually enhanced the performance of image captioning model greatly in current time. Implementation of models are also being discussed in this paper. In the end, standard evaluation matrices have been used to evaluate the performance of the models.

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来源期刊

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)

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