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

You might also read

Related Articles

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

Sort by
Same author

Elevated IL-6 receptor expression on CD4+ T cells contributes to the increased Th17 responses in patients with chronic hepatitis B.

Virology journal·2011
Same author

Neurochemical plasticity of nitric oxide synthase isoforms in neurogenic detrusor overactivity after spinal cord injury.

Neurochemical research·2011
Same author

[Clinical significance of 5-HT and DA levels in serum and cerebrospinal fluid of the patients with delayed encephalopathy after acute carbon monoxide poisoning].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2011
Same author

Reconstitution of lysosomal NAADP-TRP-ML1 signaling pathway and its function in TRP-ML1(-/-) cells.

American journal of physiology. Cell physiology·2011
Same author

[The association between HBV genotyping and clinical characteristics and expression of TH1/TH2 cytokines].

Zhonghua shi yan he lin chuang bing du xue za zhi = Zhonghua shiyan he linchuang bingduxue zazhi = Chinese journal of experimental and clinical virology·2011
Same author

Bis[5-(2-pyrid-yl)pyrazine-2-carbonitrile]-silver(I) tetra-fluorido-borate.

Acta crystallographica. Section E, Structure reports online·2011

Related Experiment Video

Updated: Jul 6, 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

557

Hierarchical attention-guided multiscale aggregation network for infrared small target detection.

Shunshun Zhong1, Haibo Zhou1, Zhongxu Zheng2

  • 1State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China.

Neural Networks : the Official Journal of the International Neural Network Society
|December 29, 2023
PubMed
Summary

Researchers developed HAMANet, a hierarchical attention-guided multiscale aggregation network, for efficient infrared small target recognition. This novel method significantly improves detection accuracy and reduces false alarms for objects like aircraft and ships.

Keywords:
Contextual fusionHierarchical attention-guidedInfrared small targetsMultilayer perceptron

More Related Videos

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
11:19

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes

Published on: March 20, 2018

10.5K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

405

Related Experiment Videos

Last Updated: Jul 6, 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

557
Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
11:19

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes

Published on: March 20, 2018

10.5K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

405

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Infrared Imaging

Background:

  • Tracking small infrared targets in complex environments is crucial for surveillance and defense.
  • Existing methods often struggle with low resolution and background clutter, leading to poor detection rates.

Purpose of the Study:

  • To propose an efficient and accurate method for infrared small target recognition.
  • To introduce a novel deep learning architecture, HAMANet, designed to overcome limitations of current approaches.

Main Methods:

  • Developed a Hierarchical Attention-guided Multiscale Aggregation Network (HAMANet).
  • Incorporated a Compound Guide Multilayer Perceptron (CG-MLP) for efficient feature extraction.
  • Utilized Spatial-Interactive Attention (SiAM) and Pixel-Interactive Attention (PiAM) modules for enhanced information exchange.
  • Employed a Contextual Fusion Module (CFM) to integrate multi-level features.

Main Results:

  • HAMANet demonstrated superior performance on public infrared small target datasets.
  • Achieved significantly higher detection accuracy compared to state-of-the-art methods.
  • Successfully reduced the false-alarm rate, enhancing reliability.

Conclusions:

  • The proposed HAMANet offers an effective solution for infrared small target recognition.
  • The network's architecture, particularly its attention mechanisms and fusion strategies, contributes to its high performance.
  • HAMANet shows strong potential for real-world applications in object detection and tracking.