Feature prediction diffusion model for video anomaly detection
Anomaly detection in the video is an important research area and a challenging task in real
applications. Due to the unavailability of large-scale annotated anomaly events, most …
applications. Due to the unavailability of large-scale annotated anomaly events, most …
Memory-augmented appearance-motion network for video anomaly detection
Video anomaly detection is a promising yet challenging task, where only normal events are
observed in the training phase. Without any explicit classification boundary between normal …
observed in the training phase. Without any explicit classification boundary between normal …
A new comprehensive benchmark for semi-supervised video anomaly detection and anticipation
Semi-supervised video anomaly detection (VAD) is a critical task in the intelligent
surveillance system. However, an essential type of anomaly in VAD named scene …
surveillance system. However, an essential type of anomaly in VAD named scene …
Open-vocabulary video anomaly detection
Current video anomaly detection (VAD) approaches with weak supervisions are inherently
limited to a closed-set setting and may struggle in open-world applications where there can …
limited to a closed-set setting and may struggle in open-world applications where there can …
Follow the rules: reasoning for video anomaly detection with large language models
Abstract Video Anomaly Detection (VAD) is crucial for applications such as security
surveillance and autonomous driving. However, existing VAD methods provide little …
surveillance and autonomous driving. However, existing VAD methods provide little …
Deep learning for video anomaly detection: A review
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 …
normality in videos. As a long-standing task in the field of computer vision, VAD has …
Attribute-based representations for accurate and interpretable video anomaly detection
Video anomaly detection (VAD) is a challenging computer vision task with many practical
applications. As anomalies are inherently ambiguous, it is essential for users to understand …
applications. As anomalies are inherently ambiguous, it is essential for users to understand …
Normalizing flows for human pose anomaly detection
Video anomaly detection is an ill-posed problem because it relies on many parameters such
as appearance, pose, camera angle, background, and more. We distill the problem to …
as appearance, pose, camera angle, background, and more. We distill the problem to …
Advancing video anomaly detection: A concise review and a new dataset
Video Anomaly Detection (VAD) finds widespread applications in security surveillance,
traffic monitoring, industrial monitoring, and healthcare. Despite extensive research efforts …
traffic monitoring, industrial monitoring, and healthcare. Despite extensive research efforts …
Semantic-driven dual consistency learning for weakly supervised video anomaly detection
Video anomaly detection presents a significant challenge in computer vision, with the aim of
distinguishing various anomaly events from numerous normal ones. Weakly supervised …
distinguishing various anomaly events from numerous normal ones. Weakly supervised …