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Found 3 papers, 2 papers with code
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
Additionally, we propose a Prompt-Enhanced Learning (PEL) module that integrates semantic priors using knowledge-based prompts to boost the discriminative capacity of context features while ensuring separability between anomaly sub-classes.
Anomaly Detection In Surveillance Videos
Video Anomaly Detection
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Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection
Video anomaly detection is recently formulated as a multiple instance learning task under weak supervision, in which each video is treated as a bag of snippets to be determined whether contains anomalies.
Audio-Guided Attention Network for Weakly Supervised Violence Detection
Detecting violence in video is a challenging task due to its complex scenarios and great intra-class variability.
