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xinyu1205
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recognize_anything_model

Image-to-Text
English
image tagging, image captioning
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@@ -14,8 +14,7 @@ Model card for <a href="https://recognize-anything.github.io/">Recognize Anythin
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  **Recognition and localization are two foundation computer vision tasks.**
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  - **The Segment Anything Model (SAM)** excels in **localization capabilities**, while it falls short when it comes to **recognition tasks**.
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  - **The Recognize Anything Model (RAM) and Tag2Text** exhibits **exceptional recognition abilities**, in terms of **both accuracy and scope**.
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  | ![RAM.jpg](https://github.com/xinyu1205/Tag2Text/raw/main/images/localization_and_recognition.jpg) |
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  | <b> Pull figure from recognize-anything official repo | Image source: https://recognize-anything.github.io/ </b>|
@@ -38,14 +37,10 @@ Authors from the [paper](https://arxiv.org/abs/2306.03514) write in the abstract
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  }
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  @article{huang2023tag2text,
 
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  title={Tag2Text: Guiding Vision-Language Model via Image Tagging},
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  author={Huang, Xinyu and Zhang, Youcai and Ma, Jinyu and Tian, Weiwei and Feng, Rui and Zhang, Yuejie and Li, Yaqian and Guo, Yandong and Zhang, Lei},
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  journal={arXiv preprint arXiv:2303.05657},
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  year={2023}
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  }
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  ```
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  **Recognition and localization are two foundation computer vision tasks.**
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  - **The Segment Anything Model (SAM)** excels in **localization capabilities**, while it falls short when it comes to **recognition tasks**.
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  - **The Recognize Anything Model (RAM) and Tag2Text** exhibits **exceptional recognition abilities**, in terms of **both accuracy and scope**.
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  | ![RAM.jpg](https://github.com/xinyu1205/Tag2Text/raw/main/images/localization_and_recognition.jpg) |
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  |:--:|
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  | <b> Pull figure from recognize-anything official repo | Image source: https://recognize-anything.github.io/ </b>|
 
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  }
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  @article{huang2023tag2text,
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  title={Tag2Text: Guiding Vision-Language Model via Image Tagging},
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  author={Huang, Xinyu and Zhang, Youcai and Ma, Jinyu and Tian, Weiwei and Feng, Rui and Zhang, Yuejie and Li, Yaqian and Guo, Yandong and Zhang, Lei},
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  journal={arXiv preprint arXiv:2303.05657},
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  year={2023}
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  }
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  ```