Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Structural Classification of Joints01:20

Structural Classification of Joints

8.0K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
8.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Expanding the spectrum of non-canonical NUT carcinoma: clinicopathological and molecular characterization of <i>BRD3::NUTM1</i> and <i>WWTR1::NUTM1</i> fusion variants.

Frontiers in oncology·2026
Same author

Successful eradication of de novo HLA antibodies with daratumumab in immune-mediated cytopenias after allogeneic stem cell transplantation: a case report.

Annals of hematology·2026
Same author

Residual Cholesterol Inflammatory Index: A Predictor of Cardiovascular-Kidney-Metabolic Syndrome; Insights from NHANES and CHARLS Cohorts.

Anatolian journal of cardiology·2026
Same author

Case Report: First occurrence of smoldering multiple myeloma in activated phosphoinositide 3-Kinase δ syndrome.

Frontiers in oncology·2026
Same author

One Health genomics reveals niche-specific lineage replacement in <i>Salmonella</i> Enteritidis.

National science review·2026
Same author

Atomic-level regulation of peroxymonosulfate activation on coal gangue: Toward controllable catalytic pathways and enhanced environmental resilience.

Environmental research·2026

相关实验视频

Updated: May 5, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

990

一个跨尺度的空间语义特征聚合网络,用于带钢表面缺陷检测.

Chenglong Xu1, Yange Sun1, Linlin Huang1

  • 1School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China.

Materials (Basel, Switzerland)
|December 31, 2025
PubMed
概括

这项研究引入了用于检测钢带表面缺陷的新网络,提高了对多样化和不均分布的缺陷的准确性. 该方法增强了特征表示,并专注于容易出现缺陷的区域,以更好地检测.

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 条形钢表面缺陷检测具有挑战性,因为缺陷尺度和空间分布各异.
  • 现有的方法在不完整的特征表示和在稀疏的缺陷区域中错过的检测方面扎.

研究的目的:

  • 为准确和强大的钢带表面缺陷检测提出一个新的网络.
  • 为了应对各种缺陷尺度和不均的空间分布的挑战.

主要方法:

  • 开发了一个跨规模的空间语义特征聚合网络 (CSSFAN).
  • 采用了与跨度空间语义聚合模块 (CSSAM) 的自下而上的特征聚合.
  • 引入了一个适应性区域提案网络 (ARPN) 来处理不均的缺陷分布.

主要成果:

  • CSSFAN有效地将多个尺度的特征融合在一起,捕捉微妙和不规则的缺陷模式.
  • ARPN动态调整区域提案,提高对容易出现缺陷的地区的敏感性.
  • 实验显示,在钢带数据集上的检测性能显著改善.

结论:

  • 拟议的CSSFAN与ARPN提供了一种有效和强大的解决方案,用于检测钢带表面缺陷.
关键词:
可适应的 RPN.注意力机制注意力机制功能聚合 功能聚合表面缺陷检测检测表面缺陷检测

更多相关视频

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.6K
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

719

相关实验视频

Last Updated: May 5, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

990
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.6K
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

719
  • 该方法成功地将空间精度和语义抽象结合在一起,以改善缺陷识别.