metadata

title: Ov Seg
emoji: 📊
colorFrom: red
colorTo: pink
sdk: gradio
sdk_version: 3.8.2
app_file: app.py
pinned: false
license: cc-by-nc-4.0

Check out the configuration reference at https://huggingface.co./docs/hub/spaces-config-reference

[OVSeg] Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP

This is the official PyTorch implementation of our paper:
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu

[arXiv] [Project]

Installation

Please see installation guide.

Data Preparation

Please see datasets preparation.

Getting started

Please see getting started instruction.

LICENSE

Shield:

The majority of OVSeg is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

However portions of the project are under separate license terms: CLIP and ZSSEG are licensed under the MIT license; MaskFormer is licensed under the CC-BY-NC; openclip is licensed under the license at its repo.

Citing OVSeg :pray:

If you use OVSeg in your research or wish to refer to the baseline results published in the paper, please use the following BibTeX entry.

@article{liang2022open,
  title={Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP},
  author={Liang, Feng and Wu, Bichen and Dai, Xiaoliang and Li, Kunpeng and Zhao, Yinan and Zhang, Hang and Zhang, Peizhao and Vajda, Peter and Marculescu, Diana},
  journal={arXiv preprint arXiv:2210.04150},
  year={2022}
}