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FuseCap_Image_Captioning

Image-to-Text
Transformers
PyTorch
blip
image-text-to-text
image-captioning
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@@ -52,12 +52,11 @@ The official codebase, datasets and trained models for this project will be rele
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  ## BibTeX
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  ``` Citation
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- @article{rotstein2023fusecap,
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- title={FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions},
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- author={Noam Rotstein and David Bensaid and Shaked Brody and Roy Ganz and Ron Kimmel},
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- year={2023},
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- eprint={2305.17718},
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- archivePrefix={arXiv},
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- primaryClass={cs.CV}
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  }
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  ```
 
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  ## BibTeX
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  ``` Citation
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+ @inproceedings{rotstein2024fusecap,
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+ title={Fusecap: Leveraging large language models for enriched fused image captions},
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+ author={Rotstein, Noam and Bensa{\"\i}d, David and Brody, Shaked and Ganz, Roy and Kimmel, Ron},
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+ booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
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+ pages={5689--5700},
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+ year={2024}
 
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  }
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  ```