A Novel Hybrid YOLO Approach for Precise Paper Defect Detection With a Dual-Layer Template and an Attention Mechanism-Reference-Cited by-同舟云学术

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A Novel Hybrid YOLO Approach for Precise Paper Defect Detection With a Dual-Layer Template and an Attention Mechanism

Published:2024-04-01 Issue:7 Volume:24 Page:11651-11669
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Li Xuanfeng¹^ORCID,Yan Haibo¹,Cui Kai²^ORCID,Li Zhiwu¹^ORCID,Liu Ruibin¹^ORCID,Lu Guibin¹,Hsieh Kai Chin³^ORCID,Liu Xiaoshi¹^ORCID,Hon Chitin¹

Affiliation:

1. Institute of Systems Engineering, Macau University of Science and Technology, Macau, China

2. School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China

3. Department of Mechanical Engineering, University College London, London, U.K

Funder

Science and Technology Development Fund of Macau, SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10487994/10416966.pdf?arnumber=10416966

Reference47 articles.

1. Deep learning-based fabric defect detection: A review

2. Effect of Paper Surface Properties on Coated Paper Wettability with Different Fountain Solutions

3. A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques

4. Fabric Defect Segmentation Method Based on Deep Learning

5. Cost reduction and quality improvements in the printing industry

Cited by 2 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. A two-stage defect detection method for unevenly illuminated self-adhesive printed materials;Scientific Reports;2024-09-04

2. Transformer Generates Conditional Convolution Kernels for End-to-End Lane Detection;IEEE Sensors Journal;2024-09-01

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