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 Experiment Video

Updated: May 24, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

CMFGP-Net: RGBT salient object detection based on cross-modal feature global perception and multi-scale deformable

Lijuan Shi1,2, Haitang Li3, Qiuju Liu1,2

  • 1College of Information Engineering, Zhengzhou University of Technology, Zhengzhou, 450052, China.

Scientific Reports
|May 22, 2026
PubMed
Summary

Related Concept Videos

Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

You might also read

Related Articles

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

Sort by
Same author

A Diammonium-Based Non-Dion-Jacobson Phase 2D Perovskite With High Durability for Efficient and Stable 2D/3D Perovskite Solar Modules.

Angewandte Chemie (International ed. in English)·2026
Same author

RNA activation as a precision dosing modality: MTL-CEBPA for controlled enzyme elevation in MPS I-H.

Frontiers in medicine·2026
Same author

Spatial management of riverine methane (CH<sub>4</sub>) emissions based on landscape drivers in the Yangtze River Basin.

Journal of environmental management·2026
Same author

Integrated bioinformatics approaches and expression assays identified a potential prognostic biomarker in oral squamous cell carcinoma.

Scientific reports·2026
Same author

Selenized Probiotic L. brevis 23017 Alleviates Colitis by Modulating the Nrf2-GPX4 Axis to Inhibit Ferroptosis.

Biological trace element research·2026
Same author

Identification of Key Osteoarthritis-Associated Genes Based on DNA Methylation.

International journal of molecular sciences·2026
Same journal

Serum vitamin D level and its association with vertigo frequency and severity in Meniere disease.

Scientific reports·2026
Same journal

PFA-Net: a physics-informed feature enhancement and attention network for interpretable bearing fault diagnosis under strong noise.

Scientific reports·2026
Same journal

Circulating inflammatory, redox, and apoptosis-related alterations in drug-naive idiopathic pulmonary fibrosis: an exploratory case-control study.

Scientific reports·2026
Same journal

A baseline-oriented dynamic aggregation approach for demand-side heterogeneous controllable resources.

Scientific reports·2026
Same journal

Temporal precision and accuracy in schizophrenia: an exploratory study.

Scientific reports·2026
Same journal

Prefrontal EEG spectral and nonlinear signatures of subthreshold depression during resting state and affectively valenced picture/video viewing: a participant-level analysis.

Scientific reports·2026
See all related articles
This summary is machine-generated.

This study introduces CMFGP-Net, a novel framework for RGB-T salient object detection. It enhances multi-modal feature interaction and robustness against deformation and occlusion, outperforming current methods.

Area of Science:

  • Computer Vision
  • Machine Learning
  • Artificial Intelligence

Background:

  • RGB-T salient object detection faces challenges like poor multi-modal interaction, spatial-spectral misalignment, and lack of robustness to target deformation and occlusion.
  • Existing methods struggle to effectively integrate information from visible light and thermal infrared sensors.

Purpose of the Study:

  • To propose a robust and effective RGB-T salient object detection framework, CMFGP-Net.
  • To address the limitations of insufficient multi-modal feature interaction, spatial-spectral misalignment, and poor robustness in current models.

Main Methods:

  • The proposed CMFGP-Net utilizes a Swin Transformer backbone for enhanced global context modeling.
  • A cross-modal feature global perception (CMFGP) module is introduced to mitigate spatial-spectral misalignment using temporal correlation and dynamic feature calibration.
Keywords:
Cross-modal feature global perceptionMulti-scale deformable convolutionRGB-T salient object detectionSwin Transformer

Related Experiment Videos

Last Updated: May 24, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

  • A multi-scale deformable convolutional cross-fusion (MSDCIF) module enhances adaptability to target deformation, occlusion, and complex backgrounds via deformable convolutions.

    • Main Results:

    • CMFGP-Net demonstrates superior performance on VT821, VT1000, and VT5000 datasets, exceeding state-of-the-art methods in E-measure, weighted F-measure, and MAE.
    • Ablation studies confirm the significant contribution of each proposed module to the overall performance improvement.
    • The model exhibits enhanced robustness and generalization capabilities, particularly in challenging scenarios with complex backgrounds and occlusions.

    Conclusions:

    • CMFGP-Net effectively addresses key challenges in RGB-T salient object detection.
    • The proposed framework offers improved accuracy, robustness, and generalization for salient object detection using multi-modal data.