Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
Methods: We systematically searched multiple databases, including PubMed, Cochrane, Embase, Web of Science, and IEEE, and identified 41 eligible studies for systematic review and meta-analysis. Based ...
Abstract: Distracted driving is a significant cause of road accidents worldwide, so innovative solutions for effective detection and prevention are needed. This study explores recent advancements in ...
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