Abstract: In hyperspectral anomaly detection (HAD), tensor low-rankness is essential for effectively separating background and anomaly. However, most of the current low-rank-based methods do not use ...
We asked readers to share the items they’ve held on to as reminders of love. The responses ranged from uplifting and funny to heartachingly sad. Share full article Many of the quiet keepsakes started ...
Abstract: To address the separation of mineral semantic segmentation and foreign object detection in coal mine conveyor belt detection, and the inability of traditional single-task models to balance ...
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