RDIDI: Recognition of Defect Image Detection in Industry-Reference-Cited by-同舟云学术

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RDIDI: Recognition of Defect Image Detection in Industry

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Innovations and Development of Information Technologies and Robotics (IDITR)
language:
Short-container-title:

Author:

Lang Xusen¹,Bai Chenyao¹,Zhu Yunlong¹

Affiliation:

1. Fudan University,Academy for Engineering and Technology,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10145915/10145813/10145941.pdf?arnumber=10145941

Reference18 articles.

1. Defect detection of solar cell based on T-VGG[J];Zhiyong;Acta Solar Sinica,2022

2. Microelectronic Connector Defect Detection Based on Feature Fusion SSD[J];Qunpo;Journal of Huazhong University of Science and Technology (Natural Science Edition).,2022

3. PCB defect detection based on improved YOLO v3[J];Wen;Electro-optic and Control,2022

4. Steel Plate Surface Defect Detection Based on Improved Faster R-CNN[J];Yu;Combined Machine Tool and Automatic Processing Technology,2022

5. Milk goat face recognition method based on improved YOLO v5s [J/OL];Jifeng;Journal of Agricultural Machinery,2023

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