Skip to content

PRIS-CV/ENDE_For_SSS

Repository files navigation

ENDE-GNN

Codes for the paper: "ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation" (IEEE VCIP 2022)

Requirments

  • Pytorch>=1.6.0
  • pytorch_geometric>=1.6.1
  • tensorboardX>=1.9

Citation

If it is helpful for your work, please cite this paper:

@inproceedings{zheng2022ende,
      title={ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation}, 
      author={Yixiao Zheng and Jiyang Xie and Aneeshan Sain and Zhanyu Ma and Yi-Zhe Song and Jun Guo},
      booktitle={IEEE International Conference on Visual Communications and Image Processing (VCIP)},
      year={2022},
}

References

Thanks for Yang et al.'s contributions. Our codes are based on SketchGNN.

License

MIT License

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages