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相关概念视频

Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Force Classification01:22

Force Classification

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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,...
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Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

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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...
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Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
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LSR-YOLO:用于零售产品检测的轻量级快速模型.

Yawen Zhao1, Mahmud Iwan Solihin1, Defu Yang2

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

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本研究介绍了LSR-YOLO,这是一款用于零售AI的轻量级物体检测模型. 它显著提高了推断速度,并降低了实时应用程序的计算成本.

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科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 深度学习对象检测增强了零售产品的识别.
  • 现有的方法面临着高计算成本和缓慢速度的挑战.
  • 在智能城市和智能设备中需要高效的模型.

研究的目的:

  • 提出LSR-YOLO,这是一个基于YOLOv8n的轻量级物体检测框架.
  • 优化模型用于机器人和智能设备的部署.
  • 提高推断速度,减少实时零售应用的计算负载.

主要方法:

  • 开发了LSR-YOLO与架构优化,包括CSPHet-CBAM注意模块.
  • 实现了通道修剪算法,以减少模型冗余.
  • 在Locount和COCO数据集上评估性能.

主要成果:

  • 在Locount数据集上,LSR-YOLO实现了357.1 FPS的推断速度.
  • 该模型达到72.2%的mAP50和47.8%的mAP50-95.
  • 与YOLOv8n相比,表现出246.7 FPS的增加,参数和GFLOP显著减少.

结论:

  • LSR-YOLO为实时零售物体检测提供了卓越的准确性和计算效率.
  • 该模型的轻量级设计和高速使其适用于资源有限的设备.
  • 在COCO数据集上验证了概括能力,证实了其实际适用性.