How to Learn More? Exploring the Possibility of Kolmogorov-Arnold Networks for Hyperspectral Image Classification

Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Bing Lu, and Pedram Ghamisi

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This PyTorch code is for the paper Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Bing Lu, Pedram Ghamisi, "[How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification]," in arXiv, eprint={2406.15719}.

Citation

Please kindly cite the papers if this code is useful and helpful for your research.

    @misc{jamali2024learn,
            title={How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification},
            author={Ali Jamali and Swalpa Kumar Roy and Danfeng Hong and Bing Lu and Pedram Ghamisi},
            year={2024},
            eprint={2406.15719},
            archivePrefix={arXiv}}

Acknowledgement

The Efficient KAN is implementated from EfficientKAN. The 3D KAN is implementated from 3DKAN.

License

Copyright (c) 2024 Ali Jamali. Released under the MIT License. See LICENSE for details.