A Dense Sample Surface Defect Detection Algorithm Based on Deep Learning and Thread Pool-Reference-Cited by-同舟云学术

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A Dense Sample Surface Defect Detection Algorithm Based on Deep Learning and Thread Pool

Published:2023-11-17 Issue: Volume: Page:1159-1163
ISSN:
Container-title:2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC)
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Author:

Li Ting¹,Nie Yuman²,Wang Yaoxiong²,Ye Ming²,Cao Pingguo²,Xu Zhannan²,Wang Zhou²

Affiliation:

1. Anhui Jianzhu University, Hefei Institutes of Physical Science, Chinese Academy of Sciences,School of Electronic and Information Engineering,Hefei,China

2. Institute of Intelligent Machines Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455087/10454140/10455824.pdf?arnumber=10455824

Reference14 articles.

1. Review on Deep based Object Detection

2. Fast R-CNN

3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

4. A deep learning based approach for automated skin disease detection using Fast R-CNN

5. An Improved Faster R-CNN Transmission Line Bolt Defect Detection Method

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