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--- |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# SPHINX-V Model Card |
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## Model type: |
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**SPHINX-V** is a new multimodal large language model designed for visual prompting, equipped with a novel visual prompt encoder and a two-stage training strategy. SPHINX-V supports multiple visual prompts simultaneously across various types, significantly enhancing user flexibility and achieve a fine-grained and open-world understanding of visual prompts. |
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## Paper or resources for more information: |
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Project Page: [Draw-and-Understand](https://draw-and-understand.github.io/) \ |
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Paper: [https://arxiv.org/abs/2403.20271](https://arxiv.org/abs/2403.20271) \ |
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Code: [https://github.com/AFeng-x/Draw-and-Understand](https://github.com/AFeng-x/Draw-and-Understand) \ |
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Dataset: [MDVP-Data & MDVP-Bench](https://huggingface.co/datasets/Afeng-x/Draw-and-Understand) |
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## Intended use |
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**Primary intended uses:** |
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The principal application of SPHINX-V is centered around conducting research in the realm of visual prompting large multimodal models and chatbots. |
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**Primary intended users:** |
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The model is primarily designed for use by researchers and enthusiasts specializing in fields such as computer vision, natural language processing, and interactive artificial intelligence. |
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## License |
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Llama 2 is licensed under the LLAMA 2 Community License, |
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Copyright (c) Meta Platforms, Inc. All Rights Reserved. |
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## Citations |
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``` |
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@misc{lin2024drawandunderstand, |
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title={Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want}, |
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author={Weifeng Lin and Xinyu Wei and Ruichuan An and Peng Gao and Bocheng Zou and Yulin Luo and Siyuan Huang and Shanghang Zhang and Hongsheng Li}, |
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year={2024}, |
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eprint={2403.20271}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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``` |
