A Weakly Supervised Surface Defect Detection Based on Convolutional Neural Network

A Weakly Supervised Surface Defect Detection Based on Convolutional Neural Network

Surface defect detection is a critical task in product quality assurance for manufacturing lines. The deep learning-based methods recently developed for defect detection are typically trained using a supervised learning strategy and large defect sample sets. Conventional methods often require additi...

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Bibliographic Details
Main Authors: Liang Xu, Shuai Lv, Yong Deng, Xiuxi Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Surface defect detection
quality control
weak supervision
convolutional neural network
localization network
Online Access:https://ieeexplore.ieee.org/document/9020085/

Internet

https://ieeexplore.ieee.org/document/9020085/

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