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 2, 2026

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

8.7K

LSGNet: A Local-Pattern Separation and Global-Aware Network for Temporal Action Detection.

Zan Gao, Weilin Yang, Yibo Zhao

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 30, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    Fixed Action Patterns01:06

    Fixed Action Patterns

    16.0K
    A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
    16.0K

    You might also read

    Related Articles

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

    Sort by
    Same author

    Expression of tissue factor pathway inhibitor-2 in gastric stromal tumor and its clinical significance.

    Experimental and therapeutic medicine·2014
    Same author

    Facile access to cytocompatible multicompartment micelles with adjustable Janus-cores from A-block-B-graft-C terpolymers prepared by combination of ROP and ATRP.

    Colloids and surfaces. B, Biointerfaces·2014
    Same author

    Functional layers for Zn(II) ion detection: from molecular design to optical fiber sensors.

    The journal of physical chemistry. B·2013
    Same author

    Expression of the 78 kD glucose-regulated protein is induced by endoplasmic reticulum stress in the development of hepatopulmonary syndrome.

    Gene·2013
    Same author

    Multi-nuclear silver(I) and copper(I) complexes: a novel bonding mode for bispyridylpyrrolides.

    Dalton transactions (Cambridge, England : 2003)·2013
    Same author

    Transcriptome profilings of female Schistosoma japonicum reveal significant differential expression of genes after pairing.

    Parasitology research·2013
    Same journal

    SinColor: Uncertainty-Guided Single-Step Diffusion for Image Colorization.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    See all related articles

    We introduce the Local-Pattern Separation and Global-Aware Network (LSGNet) to improve temporal action detection. LSGNet effectively addresses challenges like background clutter and varied scales for better action localization.

    Area of Science:

    • Computer Vision
    • Artificial Intelligence

    Background:

    • Temporal Action Detection (TAD) involves localizing and classifying actions in videos.
    • TAD is challenging due to background clutter, similar actions, and diverse temporal scales.

    Purpose of the Study:

    • To propose a novel network, LSGNet, for enhanced temporal action localization.
    • To address the limitations of existing methods in handling complex real-world video data.

    Main Methods:

    • Introducing the Local Pattern Separation Module (LPSM) to model action segment consistency and variation.
    • Implementing the Global Context-Aware Representation Module (GCRM) for long-range dependency modeling.
    • Utilizing the Multi-scale Feature Refinement Module (MFRM) to preserve fine-grained temporal details.

    Related Experiment Videos

    Last Updated: May 2, 2026

    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

    8.7K

    Main Results:

    • LSGNet demonstrates significant effectiveness on benchmark datasets like THUMOS14, ActivityNet1.3, HACS, and EPIC-Kitchens-100.
    • Ablation studies on QVHighlights confirm the generalization of the LPSM module for video moment retrieval and highlight detection.

    Conclusions:

    • The proposed LSGNet method achieves state-of-the-art performance in temporal action detection.
    • LSGNet's components contribute to improved action localization accuracy and robustness in complex scenarios.