JOURNAL ARTICLE

VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization

Yixuan ZhouXing XuZhe SunJingkuan SongAndrzej CichockiHeng Tao Shen

Year: 2025 Journal:   IEEE Transactions on Multimedia Vol: 27 Pages: 6884-6895   Publisher: Institute of Electrical and Electronics Engineers
Keywords:

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
31
Refs
0.18
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
COVID-19 diagnosis using AI
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging

Related Documents

JOURNAL ARTICLE

UniFlow: Unified Normalizing Flow for Unsupervised Multi-Class Anomaly Detection

J. ZhongYanzhi Song

Journal:   Information Year: 2024 Vol: 15 (12)Pages: 791-791
JOURNAL ARTICLE

Taming Normalizing Flows

Shimon MalnickShai AvidanOhad Fried

Year: 2024 Vol: 10 Pages: 4632-4642
JOURNAL ARTICLE

Quantum normalizing flows for anomaly detection

Bodo RosenhahnChristoph Hirche

Journal:   Physical review. A/Physical review, A Year: 2024 Vol: 110 (2)
© 2026 ScienceGate Book Chapters — All rights reserved.