OpenSeeD

This is the official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection".

Code will be released soon.

openseed_9.4m.mp4

You can also find the more detailed demo at video link on Youtube.

Key Features

• A Simple Framework for Open-Vocabulary Segmentation and Detection.
• Support interactive segmentation with box input to generate mask.

Model Framework

Results

Results on open segmentation Results on task transfer and segmentation in the wild

Citing OpenSeeD

If you find our work helpful for your research, please consider citing the following BibTeX entry.

@article{zhang2023simple,
  title={A Simple Framework for Open-Vocabulary Segmentation and Detection},
  author={Zhang, Hao and Li, Feng and Zou, Xueyan and Liu, Shilong and Li, Chunyuan and Gao, Jianfeng and Yang, Jianwei and Zhang, Lei},
  journal={arXiv preprint arXiv:2303.08131},
  year={2023}
}