An Efficient Network for Surface Defect Detection

Convolutional neural networks (CNN) have achieved promising performance in surface defect detection recently. Although many CNN-based methods have been proposed, most of them are limited by the few samples available for training, and the imbalance of positive and negative samples. Hence, their detec...

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Bibliographic Details
Main Authors: Zesheng Lin, Hongxia Ye, Bin Zhan, Xiaofeng Huang
Format: Artigo
Language:Inglês
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
convolution neural network
data augmentation
multi-scale cascade connection
surface defect detection
Online Access:https://www.mdpi.com/2076-3417/10/17/6085
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