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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>
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,πŸ“§</sup>
<sup>1</sup> Huazhong University of Science and Technology,
(\* equal contribution, πŸ“§ corresponding author)
[![arxiv paper](https://img.shields.io/badge/arXiv-Paper-red)]()
[![checkpoints](https://img.shields.io/badge/HuggingFace-πŸ€—-orange)]()
[![πŸ€— HuggingFace Demo](https://img.shields.io/badge/Mask_Adapter-πŸ€—_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-2πŸ‘‰ [πŸ€— 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