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
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}.
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}}
The Efficient KAN is implementated from EfficientKAN. The 3D KAN is implementated from 3DKAN.
Copyright (c) 2024 Ali Jamali. Released under the MIT License. See LICENSE for details.