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Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA
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Ditching PCA for spectral reduction can yield state-of-the-art performance in multisource remote sensing image classification while slashing computational costs.
Sparsifying attention maps based on channel-wise correlations unlocks state-of-the-art performance in hyperspectral image super-resolution while maintaining competitive efficiency.
