Abstract: Deep learning models, especially hybrid models combining convolutional neural networks (CNN) and Transformer, introduce new ideas for hyperspectral image (HSI) classification. However, the ...
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New diode design could shrink image sensors with built-in memory and compute
Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data across the chip to a separate processor for storage and number-crunching.
Abstract: Hyperspectral image (HSI) classification is a critical task in remote sensing. Recently, deep learning (DL) methods, particularly state space models (SSMs) like Mamba, have garnered ...
# you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 ...
In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...
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