A Tool for Printed Circuit Board Defect Detection based on the YOLO Algorithm-Reference-Cited by-同舟云学术

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A Tool for Printed Circuit Board Defect Detection based on the YOLO Algorithm

Published:2023-07-29 Issue: Volume: Page:
ISSN:
Container-title:2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
language:
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Author:

Hou Miao¹,Lan Zhiming¹,Hong Qiuhong¹,Zhu Xiangyuan¹,Nie Hong¹

Affiliation:

1. Zhaoqing University,School of Computer Science and Software,Zhaoqing,Guangdong,China,516061

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10280770/10280781/10280994.pdf?arnumber=10280994

Reference14 articles.

1. A remote sensing image object detection algorithm with improved yolov5s;wenqing;CAAI Transactions on Intelligent Systems,2022

2. Printed circuit board defect detection based on the multi-attentive faster rcnn under noise interference;renxiang;Chinese Journal of Scientific Instrument,2021

3. Multi-granularity feature fusion network for fine-grained visual classification;qi;Journal of Chinese Computer Systems,2023

4. Lightweight pcb defect detection based on yolov5;hengtao;Radio Engineering,2022

5. A Method of Defect Detection for Focal Hard Samples PCB Based on Extended FPN Model

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