Something strange and deeply unsettling has been quietly unfolding across America's landscapes, waterways, and forests for ...
Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
Abstract: Autoencoder (AE) is extensively utilized in hyperspectral anomaly detection (HAD) tasks owing to its robust feature extraction and image reconstruction capabilities. However, AE lacks ...
Abstract: Relying on remote sensing for large-scale and continuous ground observation is a crucial approach for obtaining information on typical targets and surface changes. By fusing multisource ...