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@@ -7,8 +7,7 @@ for captioning, where the publicly available dataset COCO caption (Lin et al., 2
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  about the scene (such as objects in the image). Since this information has textual form, it can be used to leverage any NLP task,
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  such as text similarity or semantic relation methods, into captioning systems, either as an end-to-end training strategy or a post-processing based approach.
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- Please refer to [project page](https://sabirdvd.github.io/project_page/Dataset_2022/index.html) and [Github](https://github.com/ahmedssabir/Visual-Semantic-Relatedness-Dataset-for-Image-Captioning) for more information.
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  about the scene (such as objects in the image). Since this information has textual form, it can be used to leverage any NLP task,
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  such as text similarity or semantic relation methods, into captioning systems, either as an end-to-end training strategy or a post-processing based approach.
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+ Please refer to [project page](https://sabirdvd.github.io/project_page/Dataset_2022/index.html) and [Github](https://github.com/ahmedssabir/Visual-Semantic-Relatedness-Dataset-for-Image-Captioning) for more information. [![arXiv](https://img.shields.io/badge/arXiv-2301.08784-b31b1b.svg)](https://arxiv.org/abs/2301.08784) [![Website shields.io](https://img.shields.io/website-up-down-green-red/http/shields.io.svg)](https://ahmed.jp/project_page/Dataset_2022/index.html)
 
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