UDL is a practicable framework used in Deep Learning (computer vision).

Xiao Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Tian-Jing Zhang

codes, results and models are available in UDL, please contact @Liang-Jian Deng (corresponding author)

please see the paper and the sub-directory: ./UDL/results/DCFNet

please run python setup.py develop

open UDL/panshaprening/tests, run the following code:

python run_DCFNet.py

Note that default configurions don't fit other environments, you can modify configures in pansharpening/models/DCFNet/option_DCFNet.py.

Benefit from mmcv/config.py, the project has the global configures in Basis/option.py, option_DCFNet inherits directly from Basis/option.py.

You need to download WorldView-3 datasets.

The directory tree should be look like this:

|-$ROOT/datasets
├── pansharpening
│   ├── training_data
│   │   ├── train_wv3_10000.h5
│   │   ├── valid_wv3_10000.h5
│   ├── test_data
│   │   ├── WV3_Simu
│   │   │   ├── new_data6.mat
│   │   │   ├── new_data7.mat
│   │   │   ├── ...
│   │   ├── WV3_Simu_mulExm
│   │   │   ├── test1_mulExm1258.mat

args.eval = False, args.dataset='wv3'

args.eval = True, args.dataset='wv3_singleMat'

Please expect more tasks and models

• pansharpening

  • models

• derain

  • models

• HISR

  • models

We appreciate all contributions to improve UDL. Looking forward to your contribution to UDL.

If you use this toolbox or benchmark in your research, please cite this project.

@InProceedings{Wu_2021_ICCV,
    author    = {Wu, Xiao and Huang, Ting-Zhu and Deng, Liang-Jian and Zhang, Tian-Jing},
    title     = {Dynamic Cross Feature Fusion for Remote Sensing Pansharpening},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {14687-14696}
}

• MMCV: OpenMMLab foundational library for computer vision.
• HRNet : High-resolution networks and Segmentation Transformer for Semantic Segmentation

This project is open sourced under GNU General Public License v3.0