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BERT-CNN-Visual-Semantic

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  This model can be used to assign an object-to-caption relatedness score, which is valuable for
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  (1) caption diverse re-ranking, and (2) generate soft labels for caption filtering when scraping image captions from the internet.
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  ```
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  conda create -n BERT_visual python=3.6 anaconda
 
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  This model can be used to assign an object-to-caption relatedness score, which is valuable for
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  (1) caption diverse re-ranking, and (2) generate soft labels for caption filtering when scraping image captions from the internet.
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+ For quick start please have a look this [colab](https://colab.research.google.com/drive/1N0JVa6y8FKGLLSpiG7hd_W75UYhHRe2j?usp=sharing)
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+ For the [dataset](https://huggingface.co/datasets/AhmedSSabir/Textual-Image-Caption-Dataset)
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  ```
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  conda create -n BERT_visual python=3.6 anaconda