Experimental Study on YOLO-Based Leather Surface Defect Detection-Reference-Cited by-同舟云学术

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Experimental Study on YOLO-Based Leather Surface Defect Detection

Published:2024 Issue: Volume:12 Page:32830-32848
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chen Zhiqiang¹^ORCID,Zhu Qirui¹^ORCID,Zhou Xiaofan²^ORCID,Deng Jiehang³^ORCID,Song Wei⁴

Affiliation:

1. College of Electrical and Information Engineering, Quzhou University, Quzhou, China

2. Zhejiang Qianjiang Robot Company Ltd., Wenling, China

3. School of Computers, Guangdong University of Technology, Guangzhou, China

4. School of Mechanic Engineering and Automation, Shanghai University, Shanghai, China

Funder

Basic Public Welfare Research Plan Project of Zhejiang Province

Science and Technology Plan Project of Quzhou City, Zhejiang Province

Key Research and Development Project of Wenling City, Zhejiang Province

Startup Research Found Plan Project funded by Quzhou University, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445120.pdf?arnumber=10445120

Reference40 articles.

1. Sustainability research in the leather industry: A critical review of progress and opportunities for future research

2. A Systematic Review of Machine-Vision-Based Leather Surface Defect Inspection

3. You Only Look Once: Unified, Real-Time Object Detection

4. YOLO9000: Better, Faster, Stronger

5. YOLOv3: An incremental improvement;Redmon;arXiv:1804.02767,2018

Cited by 1 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. Çift Sıra Parklanma Durumunun Nesne Tespit Algoritması YOLOv8 ile Tespit Edilmesi;Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi;2024-09-01

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