Self-supervised memory-guided and attention feature fusion for video anomaly detection

JOURNAL ARTICLE

Year: 2024 Journal: Journal of Electronic Imaging Vol: 33 (06) Publisher: SPIE

DOI: 10.1117/1.jei.33.6.063035

Keywords:

Computer science Anomaly detection Artificial intelligence Feature (linguistics) Pattern recognition (psychology) Feature extraction Computer vision

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.20

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition