Enhancing Steel Surface Defect Detection: A Hyper-YOLO Approach with Ghost Modules and Hyper FPN

被引：0
|
作者：
Wu, Guinan [1 ]
Wu, Qinghong [2 ]
机构：
[1] School of Electronic Information Engineering, University of Science and Technology Liaoning, Liaoning, Anshan, China
[2] School of Electronic Information Engineering, University of Science and Technology Liaoning, Liaoning, Anshan, China
来源：
IAENG International Journal of Computer Science | 2024年 / 51卷 / 09期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1321 / 1330
相关论文
共 42 条
  • [31] A YOLOV8-B ASED APPROACH FOR STEEL PLATE SURFACE DEFECT DETECTION
    Wei, Z. H.
    Zhang, Y. J.
    Wang, X. J.
    Zhou, J. T.
    Dou, F. Q.
    Xia, Y. H.
    METALURGIJA, 2024, 63 (01): : 28 - 30
  • [32] An end-to-end steel surface defect detection approach via Swin transformer
    Tang, Bo
    Song, Zi-Kai
    Sun, Wei
    Wang, Xing-Dong
    IET IMAGE PROCESSING, 2023, 17 (05) : 1334 - 1345
  • [33] Hot rolled steel surface defect detection and classification using an automatic ensemble approach
    Vasan, Vinod
    Sridharan, Naveen Venkatesh
    Sugumaran, Vaithiyanathan
    Jeyavadhanam Balasundaram, Rebecca
    ENGINEERING RESEARCH EXPRESS, 2024, 6 (02):
  • [34] A Beneficial Dual Transformation Approach for Deep Learning Networks Used in Steel Surface Defect Detection
    Akhyar, Fityanul
    Lin, Chih-Yang
    Kathiresan, Gugan S.
    PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (ICMR '21), 2021, : 619 - 622
  • [35] Automated steel surface defect detection and classification using a new deep learning-based approach
    Demir, Kursat
    Ay, Mustafa
    Cavas, Mehmet
    Demir, Fatih
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (11): : 8389 - 8406
  • [36] An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features
    He, Yu
    Song, Kechen
    Meng, Qinggang
    Yan, Yunhui
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (04) : 1493 - 1504
  • [37] DFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection
    Hu, Xianming
    Lin, Shouying
    COMPLEX & INTELLIGENT SYSTEMS, 2024, 10 (05) : 6705 - 6723
  • [38] Automated steel surface defect detection and classification using a new deep learning-based approach
    Kursat Demir
    Mustafa Ay
    Mehmet Cavas
    Fatih Demir
    Neural Computing and Applications, 2023, 35 : 8389 - 8406
  • [39] Experimental Design of Steel Surface Defect Detection Based on MSFE-YOLO-An Improved YOLOV5 Algorithm with Multi-Scale Feature Extraction
    Li, Lin
    Zhang, Ruopeng
    Xie, Tunjun
    He, Yushan
    Zhou, Hao
    Zhang, Yongzhong
    ELECTRONICS, 2024, 13 (18)
  • [40] ACPP-Net: Enhancing Strip Steel Surface Defect Detection With Efficient Adaptive Convolution and Channel-Spatial Pyramid Pooling
    Li, Rongyi
    Hou, Kailin
    Zhu, Meiwen
    Dai, Qiuming
    Ni, Jun
    Liu, Xianli
    Li, Xinyu
    IEEE ACCESS, 2024, 12 : 152072 - 152086
12345