Collecting full annotations to construct multi-label datasets is difficult and labor-consuming. As an effective solution to relieve the annotation burden, single positive multi-label learning (SPML) ...
Abstract: To address the shortcomings of traditional deep learning applications for multi-label satellite image classification, this work shifts focus toward lightweight Vision Transformers (ViTs) ...
While off-label use may be permissible, contraindicated use still has a strong regulatory boundary as reinforced by FDA guidance finalized in 2025. Medical devices are routinely used in clinical ...
Abstract: Malicious URLs present significant threats to businesses, such as transportation and banking, causing disruptions in business operations. It is essential to identify these URLs; however, ...
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