FEGAN: A Feature Extraction Based Approach for GAN Anomaly Detection and Localization

FEGAN: A Feature Extraction Based Approach for GAN Anomaly Detection and Localization

With the continuous advancement of industry 4.0 and intelligent manufacturing, there is a growing need for automation and intelligence in industrial production processes. Anomaly detection of industrial product surface images is a key technology in achieving this goal and has thus become a significa...

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Bibliographic Details
Main Authors: Fu-You Fan, Lin Zhang, Yang Dai
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Feature extraction
generative adversarial networks
surface anomaly
Online Access:https://ieeexplore.ieee.org/document/10540177/

Internet

https://ieeexplore.ieee.org/document/10540177/

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