Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

Junxi Chen; Liang Li; Li Su; Zheng-Jun Zha; Qingming Huang

doi:10.1109/cvpr52733.2024.01734

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JOURNAL ARTICLE

Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

Junxi Chen Liang Li Li Su Zheng-Jun Zha Qingming Huang

Year: 2024 Pages: 18319-18329

DOI: 10.1109/cvpr52733.2024.01734

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Keywords:

Anomaly detection Computer science Artificial intelligence Anomaly (physics) Supervised learning Pattern recognition (psychology) Artificial neural network Physics

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

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