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This research suggests a new background-weaken generalization network (BGNet) to address these challenges ... The CE module mines the relationships between images in different sets through ...

Abstract: Hyperspectral anomaly detection (HAD) aims to identify anomalous objects from hyperspectral images (HSIs ... Reconstruction Network for Hyperspectral Anomaly Detection (MMR-HAD) by enhancing ...

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Additionally, we excluded CT volumes where the background had been removed ... a deep convolutional neural network architecture tailored for detection of COVID-19 cases from chest CT images via ...