Normal-Adaptive Memory Module for Unsupervised Domain Adaptation in Weakly-Supervised Video Anomaly Detection

Tae Yeong Kim; Youngbin Kim; Donghyeong Kim; Hyeonjeong Lim; MyeongAh Cho

doi:10.1109/icce-asia63397.2024.10773964

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Normal-Adaptive Memory Module for Unsupervised Domain Adaptation in Weakly-Supervised Video Anomaly Detection

Tae Yeong Kim Youngbin Kim Donghyeong Kim Hyeonjeong Lim MyeongAh Cho

Year: 2024 Pages: 1-4

DOI: 10.1109/icce-asia63397.2024.10773964

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Keywords:

Anomaly detection Domain adaptation Computer science Adaptation (eye) Artificial intelligence Anomaly (physics) Domain (mathematical analysis) Pattern recognition (psychology) Unsupervised learning Neuroscience Psychology Mathematics

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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

Normal-Adaptive Memory Module for Unsupervised Domain Adaptation in Weakly-Supervised Video Anomaly Detection

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