yangcong356 / ada-dda

This is the official code for "Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification“

Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification

PyTorch implementation for Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification. If you find this repository useful for you, please also consider cite the ADA-DDA paper.

The code has been tested on Python 3.8 & PyTorch 1.8.1 & torchvision 0.9.1.

To run the training and testing code, use the following scripts:

python main.py --backbone & --batch_size & --epochs & --lr & --num_classes & --root_path & --source_dir & --test_dir & --gpu

Citation

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

@article{yang2022attention,
  title={Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification},
  author={Yang, Cong and Dong, Yanni and Du, Bo and Zhang, Liangpei},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={60},
  pages={1--13},
  year={2022},
  publisher={IEEE}
}