LSDDN

Author:

Qin Yang1,Xing Yongkang1,Du Jinglong1

Affiliation:

1. College of Computer Science, Chongqing University, Chongqing, China

Funder

The Graduate Research and Innovation Foundation of Chongqing

Publisher

ACM

Reference24 articles.

1. -J. 2019. Automatic fabric defect detection with a wide-and-compact network;Li Y.;Neurocomputing.,2019

2. 2019. Tire defect detection using fully convolutional network;Wang R.;IEEE Access.,2019

3. 2018. Real-time detection of steel strip surface defects based on improved yolo detection network;Li J.;IFAC-PapersOnLine.,2018

4. 2019. Automated defect inspection of LED chip using deep convolutional neural network;Lin H.;Journal of Intelligent Manufacturing.,2019

5. -F. 2003. The evaluation of normalized cross correlations for defect detection;Tsai D.-M.;Pattern Recognition Letters.,2003

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FDD: a deep learning–based steel defect detectors;The International Journal of Advanced Manufacturing Technology;2023-03-07

2. A New Multiscale Multiattention Convolutional Neural Network for Fine-Grained Surface Defect Detection;IEEE Transactions on Instrumentation and Measurement;2023

3. A New Cycle-consistent Adversarial Networks With Attention Mechanism for Surface Defect Classification With Small Samples;IEEE Transactions on Industrial Informatics;2022-12

4. Research for Defect Detection based on Few-Shot Learning of Siamese Network;2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC );2022-10-03

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