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Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets

By Ke Li and others
This work studies Hyperspectral image (HSI) super-resolution (SR). HSI SR is characterized by high-dimensional data and a limited amount of training examples. This exacerbates the undesirable behaviors of neural networks such as memorization and sensitivity to out-of-distribution samples. This work addresses these issues with three contributions. First, we observe that... Show more
April 3, 2021
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Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets
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