Update README.md

README.md

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-# MaskAdapter
-<div align ="center">
-<img src="./assets/logo.jpeg" width="20%">
-<h1> Mask-Adapter </h1>
-<h3> Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation </h3>
+---
+license: mit
+title: Mask-Adapter
+sdk: gradio
+emoji: 🚀
+colorFrom: purple
+colorTo: pink
+python_version: 3.10
+app_file: app.py
+pinned: false
+---
 
-YongKang Li<sup>1,\*</sup>, [Tianheng Cheng](https://scholar.google.com/citations?user=PH8rJHYAAAAJ&hl=zh-CN)<sup>1,\*</sup>, [Wenyu Liu](http://eic.hust.edu.cn/professor/liuwenyu)<sup>1</sup>, [Xinggang Wang](https://xwcv.github.io/)<sup>1,📧</sup>
-
-<sup>1</sup> Huazhong University of Science and Technology,
-
-
-(\* equal contribution, 📧 corresponding author)
-
-[![arxiv paper](https://img.shields.io/badge/arXiv-Paper-red)]()
-[![checkpoints](https://img.shields.io/badge/HuggingFace-🤗-orange)]()
-[![🤗 HuggingFace Demo](https://img.shields.io/badge/Mask_Adapter-🤗_HF_Demo-orange)]()
-
-</div>
-
-
-<div align="center">
-<img src="./assets/main_fig.png">
-</div>
-
-## Highlights
-
-* Mask-Adapter is a simple yet remarkably effective method and can be seamlessly integrated into open-vocabulary segmentation methods, e.g., [FC-CLIP](https://github.com/bytedance/fc-clip) and [MAFT-Plus](https://github.com/jiaosiyu1999/MAFT-Plus), to tackle the existing bottlenecks.
-
-* Mask-Adapter effectively extends to SAM without training, achieving impressive results across multiple open-vocabulary segmentation benchmarks.
-
-## Updates
-- [x] Release code
-- [x] Release weights
-- [x] Release demo with SAM-2👉 [🤗 Mask-Adapter]()
-- [ ] Release weights training with addtional data
-
-
-## Installation
-Please follow [installation](INSTALL.md).
-
-## Getting Started
-
-See [Preparing Datasets for Mask-Adapter](datasets/README.md).Following [FC-CLIP](https://github.com/bytedance/fc-clip) and [MAFT-Plus](https://github.com/jiaosiyu1999/MAFT-Plus) to prepare datasets.
-
-See [Getting Started with   Mask-Adapter](GETTING_STARTED.md).
-
-
-
-## <a name="Citing Mask-Adapter"></a>Citing  Mask-Adapter
-
-If you use Mask-Adapter in your research, please use the following BibTeX entry.
-
-```BibTeX
-
-```
-
-## Acknowledgement
-
-[Mask2Former](https://github.com/facebookresearch/Mask2Former)
-
-[ODISE](https://github.com/NVlabs/ODISE)
-
-[FC-CLIP](https://github.com/bytedance/fc-clip)
-
-[MAFTP](https://github.com/jiaosiyu1999/MAFT-Plus)
-
-[SAM](https://github.com/facebookresearch/segment-anything)
-# MaskAdapter