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

Classification of Systems-II01:31

Classification of Systems-II

133
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
133
Force Classification01:22

Force Classification

1.1K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.1K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

5.8K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
5.8K
Reducing Line Loss01:18

Reducing Line Loss

143
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
143
Classification of Systems-I01:26

Classification of Systems-I

168
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
168
Design Example: Aggregate Gradation01:24

Design Example: Aggregate Gradation

90
The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
90

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

Precision gene editing: From proof-of-concept to curative therapies.

Trends in molecular medicine·2026
Same author

Dynamic changes and relationships among AI Literacy, job crafting, and career growth in new nurses in the AI era: A multicenter three-wave longitudinal study.

Nurse education today·2026
Same author

Survival benefit of surgical resection in elderly patients with extrahepatic cholangiocarcinoma: a propensity score-matched analysis.

Langenbeck's archives of surgery·2026
Same author

Minimal interaction conditions for the emergence of biological-like organization.

Bio Systems·2026
Same author

GDF15 participates in epithelial cell senescence in radiation-induced lung injury through the ERK1/2-p16 signaling pathway.

PloS one·2026
Same author

An adaptive oppositional grey wolf optimizer for complex engineering problems.

Scientific reports·2026
Same journal

Topological skeleton analysis for network-based shape representation in biology and beyond.

iScience·2026
Same journal

Condition-specific neural signatures of reactivation during post-retrieval rest: An EEG study.

iScience·2026
Same journal

Multi-chaotic signal identification employing a causal cross-correlation neural network.

iScience·2026
Same journal

Repeated insertions at positions 261-280 in KPC-2 highlight a ceftazidime-avibactam resistance hotspot.

iScience·2026
Same journal

ROS inhibits microtubule dynamics and cell growth heterogeneity during Arabidopsis sepal morphogenesis.

iScience·2026
Same journal

Type 1 diabetes alters early macrophage-<i>Mycobacterium tuberculosis</i> transcriptional coordination during infection.

iScience·2026
查看所有相关文章

相关实验视频

Updated: Jun 1, 2025

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

462

模型压缩用于实时对象检测,使用严格的分级修剪.

Defu Yang1, Mahmud Iwan Solihin1, Yawen Zhao1

  • 1Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, Malaysia.

iScience
|January 21, 2025
PubMed
概括
此摘要是机器生成的。

严格分级修剪 (RGP) 显著压缩了像YOLOv8这样的对象检测模型,实现了高精度和更快的处理速度. 这种方法有效地削减了冗余过器,以实现高效的实时检测.

关键词:
人工智能的人工智能是人工智能.工程 工程师 工程师 工程师

更多相关视频

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

相关实验视频

Last Updated: Jun 1, 2025

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

462
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 实时对象检测需要平衡模型大小和准确性.
  • 深度学习模型中的卷积层通常具有不均的贡献和低冗余性,使压缩工作复杂化.

研究的目的:

  • 引入严格分级修剪 (RGP) 作为压缩对象检测模型的有效方法.
  • 为了保持高检测准确度,同时显著减少模型大小和增加处理速度.

主要方法:

  • RGP使用非敏感的第一阶泰勒近似来评估精确的内核修剪的过器重要性.
  • 该方法反复评估层的意义,以保护关键层并确保强大的检测性能.
  • RGP应用于YOLOv8对象探测器,并在GTSDB,Seaships和COCO数据集上进行验证.

主要成果:

  • 在GTSDB数据集上,RGP实现了YOLOv8n的80%压缩,最小的0.11% mAP0.5下降,FPS增加了43.84%.
  • 对于YOLOv8x,RGP实现了90%的压缩,mAP0.5:0.95增加了1.26%,FPS提升了112.66%.
  • 在海船和COCO数据集上也观察到相当大的压缩率,证实了RGP的多功能性.

结论:

  • 严格分级修剪是一种强大的技术,用于在各种数据集中压缩对象检测模型.
  • 在不影响准确性的情况下,RGP显示了开发高效,高速的物体检测系统的巨大潜力.