Self-Supervised Image Anomaly Detection Through Diverse Pseudo Anomaly Insertion

Self-Supervised Image Anomaly Detection Through Diverse Pseudo Anomaly Insertion

Industrial anomaly detection through deep learning-based vision systems is becoming a critical inspection tool for deploying efficient, defect-free manufacturing lines in smart factories. In fully automated manufacturing lines, deep self-supervised learning (SSL) based anomaly detectors are ideal in...

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Bibliographic Details
Main Authors: Rizwan Ali Shah, Odilbek Urmonov, Hyungwon Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Anomaly detection
artificial intelligence
image processing
pseudo anomaly insertion
self-supervised leaning
Online Access:https://ieeexplore.ieee.org/document/11039778/
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https://ieeexplore.ieee.org/document/11039778/

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