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

8.4K
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.
8.4K

You might also read

Related Articles

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

Sort by
Same author

WAD-YOLO: A Lightweight Fall Detection Algorithm for Visual Sensor Systems Based on Wavelet Transform and Dynamic Convolution.

Sensors (Basel, Switzerland)·2026
Same author

Pembrolizumab-Chemotherapy Versus Pembrolizumab in Head and Neck Squamous Cell Carcinoma: A PD-L1 CPS-Stratified Analysis of Updated KEYNOTE-048 Data.

International journal of cancer·2026
Same author

Beyond apoptosis: nanomedicine enabled reprogramming of tumor cell death for next-generation radiosensitization.

Journal of nanobiotechnology·2026
Same author

Improvement of the biological performance of filling materials for primary teeth after pulpectomy by incorporating Ca-polyP microparticles.

Dental materials : official publication of the Academy of Dental Materials·2026
Same author

<i>Et</i>G6PI Is Implicated in Host Cell Invasion and Maduramycin Resistance in <i>Eimeria tenella</i>.

Microorganisms·2026
Same author

Longitudinal lineage tracing reveals early clonal attrition during Drosophila midgut aging.

PLoS biology·2026

Related Experiment Video

Updated: May 30, 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

455

Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and

Wenlin Wu1, Fenghua Zhu2,3, Zheng Li4

  • 1School of Rail Transportation, Shandong Jiaotong University, Jinan, 250357, China.

Scientific Reports
|January 30, 2025
PubMed
Summary

This study introduces a novel spectrum focus transformer (SFT) layer for pavement distress recognition. The SFT layer enhances feature extraction from complex road images, achieving high accuracy in identifying pavement distress.

More Related Videos

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.7K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.3K

Related Experiment Videos

Last Updated: May 30, 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

455
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.7K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.3K

Area of Science:

  • Civil Engineering
  • Computer Vision
  • Signal Processing

Background:

  • Pavement distress recognition is challenging due to complex environments, small distress proportions, scale variations, and interfering features.
  • Existing methods struggle with effective distress feature extraction from diverse road images.

Purpose of the Study:

  • To propose a novel spectrum focus transformer (SFT) layer for improved pavement distress recognition and classification.
  • To enhance the capability of capturing pavement distress regions by processing signal spectrum and focusing on important frequency components.

Main Methods:

  • Developed a spectrum focus transformer (SFT) layer to analyze frequency domain characteristics of image data.
  • Fine-tuned different frequency components based on frequency value distribution.
  • Learned and weighted frequency information with images in the frequency domain to enhance distress region capture.

Main Results:

  • Experiments on a road pavement distress dataset demonstrated improved attention to distress regions via heatmap analysis.
  • Achieved a high accuracy of 97.73% in pavement distress recognition.
  • Outperformed other existing models in terms of accuracy.

Conclusions:

  • The proposed SFT layer effectively addresses challenges in pavement distress recognition.
  • The SFT layer significantly enhances the model's ability to identify and classify pavement distress.
  • This approach offers a promising solution for automated pavement inspection and maintenance.