BOOK-CHAPTER

Object-Centric Anomaly Detection Using Memory Augmentation

Jacob V. DueholmKamal NasrollahiThomas B. Moeslund

Year: 2021 Lecture notes in computer science Pages: 362-371   Publisher: Springer Science+Business Media
Keywords:
Computer science Anomaly detection Object (grammar) Artificial intelligence Computer vision

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
24
Refs
0.19
Citation Normalized Percentile
Is in top 1%
Is in top 10%

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
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing

Related Documents

JOURNAL ARTICLE

Object-centric and memory-guided network-based normality modeling for video anomaly detection

S. ChandrakalaP ShalmiyaV. SrinivasK. Deepak

Journal:   Signal Image and Video Processing Year: 2022 Vol: 16 (7)Pages: 2001-2007
JOURNAL ARTICLE

Object-Centric Video Anomaly Detection with Covariance Features

Ali Enver BilecenHüseyin Özkan

Journal:   2022 30th Signal Processing and Communications Applications Conference (SIU) Year: 2022 Pages: 1-4
© 2026 ScienceGate Book Chapters — All rights reserved.