Code used for these publications:
-
Domain Adaptation for Handwritten Symbol Recognition: A Case of Study in Old Music Manuscripts (https://link.springer.com/chapter/10.1007/978-3-030-31321-0_12)
-
Incremental Unsupervised Domain-Adversarial Training of Neural Networks (https://ieeexplore.ieee.org/document/9216604)
- In this case it was used as the base implementation of the DANN algorithm integrated in the incremental loop.
-
Unsupervised neural domain adaptation for document image binarization (https://www.sciencedirect.com/science/article/pii/S0031320321002867)
- Used as the basis of the implementation. The repository for this paper can be found at: https://github.com/ajgallego/SAE-DANN
If you use this code, consider citing one or more of the following papers:
@article{gallego2020incremental,
author={Gallego, Antonio-Javier and Calvo-Zaragoza, Jorge and Fisher, Robert B.},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Incremental Unsupervised Domain-Adversarial Training of Neural Networks},
year={2020},
volume={},
number={},
pages={1-15},
doi={10.1109/TNNLS.2020.3025954}
}
@article{Castellanos2021saedann,
title = {Unsupervised neural domain adaptation for document image binarization},
journal = {Pattern Recognition},
volume = {119},
pages = {108099},
year = {2021},
issn = {0031-3203},
doi = {https://doi.org/10.1016/j.patcog.2021.108099},
author = {Francisco J. Castellanos and Antonio-Javier Gallego and Jorge Calvo-Zaragoza}
}
@InProceedings{10.1007/978-3-030-31321-0_12,
author="Mateiu, Tudor N. and Gallego, Antonio-Javier and Calvo-Zaragoza, Jorge",
editor="Morales, Aythami and Fierrez, Julian and S{\'a}nchez, Jos{\'e} Salvador and Ribeiro, Bernardete",
title="Domain Adaptation for Handwritten Symbol Recognition: A Case of Study in Old Music Manuscripts",
booktitle="Pattern Recognition and Image Analysis",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="135--146",
isbn="978-3-030-31321-0"
}
Run the following script to download the datasets:
bash download_datasets.sh
And "run_experiment.sh
" to run the experiments:
bash run_experiment.sh