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 ...
Abstract: Anomaly detection systems are increasingly vulnerable to adversarial attacks, particularly data poisoning attacks that compromise training datasets by injecting malicious samples designed to ...
James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...
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