Skip to content

Codes about Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond

License

Notifications You must be signed in to change notification settings

LiuzhuForFun/BDLFusion

 
 

Repository files navigation

BDLFusion

Codes of Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond

Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu. In IJCAI 2023. Paper

Requirements

  • Python 3.7
  • PyTorch 1.10.1
  • Checkpoint of detection Checkpoint

Usage

Data preparation

Details will be provided as soon as possible.

Testing

Run "python test.py" to test the model.

Training

Workflow

Results of detection

Results of segmentation

Citation

If you use this code for your research, please cite our paper.

@article{liu2023bilevel,
  title={Bi-level Dynamic Learning  for Jointly Multi-modality Image Fusion and Beyond},
  author={Zhu Liu and Jinyuan Liu and Guanyao Wu and Long Ma and Xin Fan and Risheng Liu},
  journal={IJCAI},
  year={2023},
}

About

Codes about Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%