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

Structural Classification of Joints01:20

Structural Classification of Joints

5.9K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
5.9K
Propagation of Action Potentials01:23

Propagation of Action Potentials

7.9K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
7.9K
Functional Classification of Joints01:09

Functional Classification of Joints

5.8K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
5.8K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

630
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
630
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

233
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
233
Fixed Action Patterns01:06

Fixed Action Patterns

16.8K
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.
16.8K

You might also read

Related Articles

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

Sort by
Same author

Two-year outcome of high-risk benign prostate hyperplasia patients treated with transurethral prostate resection by plasmakinetic or conventional procedure.

Urology·2012
Same author

Combination therapy improves exercise capacity and reduces risk of clinical worsening in patients with pulmonary arterial hypertension: a meta-analysis.

Journal of cardiovascular pharmacology·2012
Same author

Tailored design of architecturally controlled Pt nanoparticles with huge surface areas toward superior unsupported Pt electrocatalysts.

ACS applied materials & interfaces·2012
Same author

Primary non-Hodgkin's lymphoma of the skull base: a case report and literature review.

Clinical neurology and neurosurgery·2012
Same author

Mitigation of augmented extrasynaptic NMDAR signaling and apoptosis in cortico-striatal co-cultures from Huntington's disease mice.

Neurobiology of disease·2012
Same author

Strong inhibition of celastrol towards UDP-glucuronosyl transferase (UGT) 1A6 and 2B7 indicating potential risk of UGT-based herb-drug interaction.

Molecules (Basel, Switzerland)·2012
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Nov 7, 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

744

Two-Branch Relational Prototypical Network for Weakly Supervised Temporal Action Localization.

Linjiang Huang, Yan Huang, Wanli Ouyang

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |April 28, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel two-branch network to improve weakly supervised temporal action localization by modeling variations in background and actions. The method effectively distinguishes actions from backgrounds, enhancing video understanding performance.

    More Related Videos

    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.3K
    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    4.7K

    Related Experiment Videos

    Last Updated: Nov 7, 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

    744
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.3K
    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    4.7K

    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Weakly supervised temporal action localization is crucial for high-level video understanding.
    • Untrimmed videos present challenges due to unconstrained backgrounds and complex, multi-label actions.
    • Existing methods struggle with large variations within background and action categories.

    Purpose of the Study:

    • To address the challenges of background identification and action localization in untrimmed videos.
    • To reduce variations and learn compact features for improved classification and detection.
    • To propose a novel network architecture for enhanced temporal action localization.

    Main Methods:

    • A two-branch relational prototypical network is proposed, comprising an action-branch and a sub-branch.
    • The action-branch uses class-wise prototypes for prior knowledge and guidance.
    • The sub-branch utilizes multiple sub-prototypes to model variations and a multi-label clustering loss for compact feature learning.

    Main Results:

    • The proposed model effectively models classes with significant variations.
    • Compact features are learned, aiding in distinguishing background from actions.
    • The two-branch architecture acts as mutual regularization, boosting performance.

    Conclusions:

    • The developed method demonstrates superior performance on benchmark datasets (Thumos14, MultiThumos, ActivityNet).
    • The approach effectively tackles the complexities of weakly supervised temporal action localization.
    • The findings highlight the potential of modeling variations for advanced video understanding tasks.