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Text-guided Fine-Grained Video Anomaly Detection

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
A new framework called Text-guided Fine-Grained Video Anomaly Detection (T-VAD) has been introduced to enhance video anomaly detection, which is crucial for applications like surveillance and industrial monitoring. Unlike traditional methods that only classify events as normal or anomalous, T-VAD aims to provide a more nuanced analysis, potentially improving the accuracy and efficiency of detecting unusual activities. This advancement is significant as it could lead to better safety measures and operational efficiencies in various sectors.
— Curated by the World Pulse Now AI Editorial System
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