Surface Defect Recognition in Steel Plates Based on Impoved Faster R-CNN-Reference-Cited by-同舟云学术

Surface Defect Recognition in Steel Plates Based on Impoved Faster R-CNN

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Xie Qiyue¹,Zhou Wenqian²,Tan Hui¹,Wang Xiaoli³

Affiliation:

1. School of Electrical & Information Engineering, Changsha University of Science & Technology,Changsha,China,410114

2. School of Energy & Power Engineering, Changsha University of Science & Technology,Changsha,China,410114

3. School of Automation, Central South University,Changsha,China,410083

Funder

Changsha University of Science and Technology Innovation

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901872.pdf?arnumber=9901872

Reference14 articles.

1. Lychee Surface Defect Detection Based on Deep Convolutional Neural Networks with GAN-Based Data Augmentation

2. An automatic assessment of road condition from aerial imagery using modified VGG architecture in faster-RCNN framework

3. Research on Detection Method for Welding Seam Defects in Ultrasonic TOFD Image Based on Mask R-CNN

4. Research on target detection of high resolution remote sensing images based on regional convolutional neural network;feng;ChongQing JiaoTong University Journal,2021

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 light-weight defect detection model for capacitor appearance based on the Yolov5;Measurement;2024-06

2. Image Enhancement of Steel Plate Defects Based on Generative Adversarial Networks;Electronics;2024-05-22

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

4. Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects;Progress in Materials Science;2023-09

5. Real-Time Steel Surface Defect Detection with Improved Multi-Scale YOLO-v5;Processes;2023-04-28