A New Foreground-Perception Cycle-Consistent Adversarial Network for Surface Defect Detection With Limited High-Noise Samples
Author:
Affiliation:
1. School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, China
2. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China
Funder
National Natural Science Foundation of China
Major Special Science and Technology Project of Hubei Province
State Key Lab of Digital Manufacturing Equipment and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10288179/10058534.pdf?arnumber=10058534
Reference43 articles.
1. Infrared Image Data Augmentation Based on Improved Image-to-Image Translation Network
2. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
3. Novel Feature Fusion Module-Based Detector for Small Insulator Defect Detection
4. The Fréchet distance between multivariate normal distributions
5. Unsupervised defect inspection algorithm based on cascaded GAN with edge repair feature fusion
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. A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation;Engineering Applications of Artificial Intelligence;2023-11
2. A novel adaptive dynamic GA combined with AM to optimize ANN for multi-output prediction: Small samples enhanced in industrial processing;Information Sciences;2023-10
3. A Pixel-Level Segmentation Convolutional Neural Network Based on Global and Local Feature Fusion for Surface Defect Detection;IEEE Transactions on Instrumentation and Measurement;2023
4. Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions;IEEE Transactions on Instrumentation and Measurement;2023
5. A New Multiscale Multiattention Convolutional Neural Network for Fine-Grained Surface Defect Detection;IEEE Transactions on Instrumentation and Measurement;2023
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