ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection

ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection

Quality inspection is an industrial field with a growing interest in anomaly detection research. An anomaly in an image can either be structural or logical. While structural anomalies lie on the image objects, challenging logical anomalies are hidden in the global relations between the image compone...

Full description

Saved in:
Bibliographic Details
Main Authors: Firas Zoghlami, Dena Bazazian, Giovanni L. Masala, Mario Gianni, Asiya Khan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Logical anomaly detection
graph neural networks
vision graphs
Online Access:https://ieeexplore.ieee.org/document/10758311/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items