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Updated: Jan 14, 2026

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
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Published on: November 1, 2018

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一个基于SCCI-YOLO的高效轻量级算法,用于检测钢的表面缺陷

Huixiang Zhou1, Hong Zou2, Gaojun Hu1

  • 1Department of Software Engineering, School of Software, East China Jiaotong University, No. 808 Shuanggang East Street, Nanchang, 330013, Jiangxi, China.

Scientific reports
|October 16, 2025
PubMed
概括

本研究介绍了SCCI-YOLO,这是一个改进的深度学习模型,用于检测钢表面缺陷. 它增强了特征提取和融合,大大提高了准确性,并减少了识别各种工业材料缺陷的错误.

关键词:
在CCFM中,CCFM是指CCFM.缺陷检测 检测缺陷检测 检测缺陷检测功能融合的特点是:损失函数是一个损失函数.这就是YOLOv8的意义.

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