Carpet Defect Detection by Transfer Learning Combing Classification and Semantic Segmentation-Reference-Cited by-同舟云学术

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Carpet Defect Detection by Transfer Learning Combing Classification and Semantic Segmentation

Published:2022-10-22 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Universal Village (UV)
language:
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Author:

Ren Tianqing¹,Zhou Longfei²,Xu Ke³,Wang Yifan⁴,Wu Siyu⁵,Gai Yuliang⁶,Chen Jiazheng⁵,Gou Zhichao⁷

Affiliation:

1. Jiangnan University,Wuxi,China

2. Duke University,School of Medicine,Durham,USA

3. Hangzhou Dianzi University,Hangzhou,China

4. South China University of Technology,Guangzhou,China

5. Nanjing University of Information Science and Technology,Nanjing,China

6. Jilin University of Finance and Economics,Changchun,China

7. Jiangsu University,Zhenjiang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10185200/10185442/10185478.pdf?arnumber=10185478

Reference21 articles.

1. CNN based automatic detection of photovoltaic cell defects in electroluminescence images

2. Survey of applications of material defect detection based on machine vision and deep learning;yang;Material Reports,2022

3. Detection and identification of surface defects of magnetic tile based on neural network;liu;Surface Technology,2019

4. Recognition algorithm of strip steel surface defects based on attention model;lu;Laser & Optoelectronics Progress,2021

5. UNet++: A Nested U-Net Architecture for Medical Image Segmentation

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