A Two-Stage Multiscale Residual Attention Network for Light Guide Plate Defect Detection

A Two-Stage Multiscale Residual Attention Network for Light Guide Plate Defect Detection

Aiming at the difference in density between the light guide point distribution of the light guide plate (LGP) images, the different size, shape and brightness of LGP defects, and the limitation of a small number of defect samples, our paper proposes a two-stage multiscale residual attention network...

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Bibliographic Details
Main Authors: Zhaopan Li, Junfeng Li, Wenzhan Dai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
defect detection
light guide plate
multiscale residual attention network
surface defect detection system
Online Access:https://ieeexplore.ieee.org/document/9306797/

Internet

https://ieeexplore.ieee.org/document/9306797/

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