Faster Metallic Surface Defect Detection Using Deep Learning with燙hannel燬huffling

Author:

Muhammad Yasir Siddiqui,Ahn Hyunsik

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference39 articles.

1. Deep active learning for surface defect detection;Lv;Sensors,2020

2. A surface defect detection based on convolutional neural network;Wu,2017

3. Deep metallic surface defect detection: The new benchmark and detection network;Lv;Sensors,2020

4. Recent advances in surface defect inspection of industrial products using deep learning techniques;Zheng,2021

5. A High-precision loose strands diagnosis approach for isoelectric line in high-speed railway;Liu;IEEE Transactions on Industrial Informatics,2018

Cited by 5 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. Few-Shot Steel Defect Detection Based on a Fine-Tuned Network with Serial Multi-Scale Attention;Applied Sciences;2024-07-03

2. Detection of defects on metal surfaces based on PoolFormer Auto-Encoder;Fourth International Conference on Sensors and Information Technology (ICSI 2024);2024-05-06

3. Unleashing the power of AI in detecting metal surface defects: an optimized YOLOv7-tiny model approach;PeerJ Computer Science;2024-01-22

4. EC-YOLO: Effectual Detection Model for Steel Strip Surface Defects Based on YOLO-V5;IEEE Access;2024

5. Metal surface defect detection based on improved YOLOv5;2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS);2023-07-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3