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CODE_OF_CONDUCT.md
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CODE_OF_CONDUCT.md
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# Code of Conduct
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## Our Pledge
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In the interest of fostering an open and welcoming environment, we as
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## Scope
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## Attribution
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This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org), version 1.4,
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available at [https://www.contributor-covenant.org/version/1/4/code-of-conduct.html](https://www.contributor-covenant.org/version/1/4/code-of-conduct.html)
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CONTRIBUTING.md
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CONTRIBUTING.md
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# Contribution Guide
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Thanks for your interest in contributing. This project was released to accompany a research paper for purposes of reproducability, and beyond its publication there are limited plans for future development of the repository.
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While we welcome new pull requests and issues please note that our response may be limited. Forks and out-of-tree improvements are strongly encouraged.
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## Before you get started
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By submitting a pull request, you represent that you have the right to license your contribution to Apple and the community, and agree by submitting the patch that your contributions are licensed under the [LICENSE](LICENSE).
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We ask that all community members read and observe our [Code of Conduct](CODE_OF_CONDUCT.md).
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LICENSE
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LICENSE
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Copyright (C) 2023 Apple Inc. All Rights Reserved.
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README.md
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README.md
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<!-- # Project Name
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This software project accompanies the research paper, [Paper title](https://arxiv.org).
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Brief description of the project.
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## Documentation
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## Getting Started -->
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# <img src="figs/ferret_icon.png" alt="Alt text for the image" width="40" height="45"> Ferret: Refer and Ground Anything Anywhere at Any Granularity
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An end-to-end MLLM that can accept any-form referring and ground anything in response.*
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[Haoxuan You*](https://hxyou.github.io/), [Haotian Zhang*](https://haotian-zhang.github.io/), [Zhe Gan](https://zhegan27.github.io/), [Xianzhi Du](https://scholar.google.com/citations?user=l1hP40AAAAAJ&hl=en), [Bowen Zhang](https://zbwglory.github.io/), [Zirui Wang](https://www.cs.cmu.edu/~ziruiw/), [Liangliang Cao](http://llcao.net/), [Shih-Fu Chang](https://www.ee.columbia.edu/~sfchang/), [Yinfei Yang](https://sites.google.com/site/yinfeiyang/)
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[*: equal contribution]
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## Overview
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<p align="center">
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<img src="figs/ferret_fig_diagram_v2.png" width="100%"></a> <br>
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Diagram of Ferret Model.
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</p>
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Key Contributions:
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* Ferret Model - **Hybrid Region Representation + Spatial-aware Visual Sampler** enable fine-grained and open-vocabulary referring and grounding in MLLM.
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* GRIT Dataset (~1.1M) - A **Large-scale, Hierarchical, Robust** ground-and-refer instruction tuning dataset.
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* Ferret-Bench - A multimodal evaluation benchmark that jointly requires **Referring/Grounding, Semantics, Knowledge, and Reasoning**.
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figs/ferret_icon.png
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