Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Light Acquisition02:16

Light Acquisition

8.5K
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.
8.5K
Reducing Line Loss01:18

Reducing Line Loss

184
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...
184
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

88
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
88
Thematic Layering in GIS01:30

Thematic Layering in GIS

63
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
63

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Xiongzhi Qufeng Zhitong Granule alleviates nitroglycerin-induced migraine-like nociception and central neuroinflammation by regulating the HMGB1 / TRPV1 / MAPK signaling axis.

Journal of ethnopharmacology·2026
Same author

The impact of face-to-face social exclusion on university students' interpersonal cooperation behavior: a hyperscanning study based on fNIRS.

Frontiers in neuroscience·2026
Same author

Spatiotemporal evolution and drivers of carbon stock in arid oases: Multi-source assessment and scenario prediction in Wei-Ku oasis, China.

iScience·2026
Same author

Uniaxial spin texture in a superconducting electron gas revealed by exchange interactions.

Science advances·2026
Same author

A single-component photocurable chitosan hydrogel mitigates inflammation and promotes angiogenesis and neurogenesis for diabetic wound healing.

Biomaterials·2026
Same author

Association Between Autism-Related Symptoms and Mealtime Behavior Problems in Children With Autism Spectrum Disorders.

Journal of autism and developmental disorders·2026

Related Experiment Video

Updated: Aug 3, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

LayerNet: A One-Step Layered Network for Semantic Segmentation at Night.

Hao Li, Changjiang Liu, Yang Yang

    IEEE Computer Graphics and Applications
    |April 7, 2023
    PubMed
    Summary

    Researchers created the Rebecca dataset for nighttime image segmentation. Their LayerNet model achieved state-of-the-art accuracy, improving segmentation performance on this novel benchmark.

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Nighttime scene understanding is challenging due to low illumination and complex visual features.
    • Existing datasets lack sufficient pixel-level semantic annotations for robust nighttime scene analysis.
    • Developing advanced models for nighttime image segmentation is crucial for various applications.

    Purpose of the Study:

    • To introduce a novel, large-scale nighttime scene dataset (Rebecca) with pixel-level semantic annotations.
    • To propose LayerNet, a novel one-step layered network for effective nighttime image segmentation.
    • To establish a new benchmark for evaluating nighttime semantic segmentation models.

    Main Methods:

    • Collected and annotated 600 real nighttime images to create the Rebecca dataset.

    More Related Videos

    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

    9.0K
    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
    05:41

    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

    Published on: February 6, 2020

    9.5K

    Related Experiment Videos

    Last Updated: Aug 3, 2025

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.8K
    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

    9.0K
    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
    05:41

    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

    Published on: February 6, 2020

    9.5K
  • Developed LayerNet, a network that explicitly models and fuses multi-stage features (local, middle, global).
  • Utilized a multihead decoder and hierarchical module for enhanced feature extraction and fusion.

    • Main Results:

    • The Rebecca dataset significantly improves the segmentation performance of existing models.
    • LayerNet achieved state-of-the-art accuracy on the Rebecca dataset with 65.3% mIOU.
    • Demonstrated the effectiveness of fusing multi-stage features for nighttime image segmentation.

    Conclusions:

    • The Rebecca dataset serves as a valuable benchmark for nighttime scene understanding.
    • LayerNet demonstrates superior performance in nighttime semantic segmentation by effectively integrating features.
    • The proposed methods advance the capabilities of computer vision models in low-light conditions.