A Survey of Incremental Deep Learning for Defect Detection in Manufacturing

A Survey of Incremental Deep Learning for Defect Detection in Manufacturing

Deep learning based visual cognition has greatly improved the accuracy of defect detection, reducing processing times and increasing product throughput across a variety of manufacturing use cases. There is however a continuing need for rigorous procedures to dynamically update model-based detection...

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Bibliographic Details
Main Authors: Reenu Mohandas, Mark Southern, Eoin O’Connell, Martin Hayes
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Big Data and Cognitive Computing
Subjects:
deep learning
incremental learning
continuous learning
catastrophic forgetting
self-healing processes
defect detection
Online Access:https://www.mdpi.com/2504-2289/8/1/7

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https://www.mdpi.com/2504-2289/8/1/7

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