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

Source Transformation01:15

Source Transformation

6.5K
Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
6.5K
Types Of Transformers01:16

Types Of Transformers

987
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
987
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.6K
2.6K
Transformers in Distribution System01:27

Transformers in Distribution System

107
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
107
The Ideal Transformer01:26

The Ideal Transformer

407
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
407
Transformation01:26

Transformation

15
Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
15

You might also read

Related Articles

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

Sort by
Same author

The role of ferroptosis regulators in the prognosis, immune activity and gemcitabine resistance of pancreatic cancer.

Annals of translational medicine·2020
Same author

The vascular endothelial growth factor trap aflibercept induces vascular dysfunction and hypertension via attenuation of eNOS/NO signaling in mice.

Acta pharmacologica Sinica·2020
Same author

MBNL1 regulates isoproterenol-induced myocardial remodelling in vitro and in vivo.

Journal of cellular and molecular medicine·2020
Same author

Platelets Stimulate Liver Regeneration in a Rat Model of Partial Liver Transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society·2020
Same author

Mutant p53 in Cancer Progression and Targeted Therapies.

Frontiers in oncology·2020
Same author

Downregulation of astrocyte elevated gene-1 expression inhibits the development of vasculogenic mimicry in gliomas.

Experimental and therapeutic medicine·2020
Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

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

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

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

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

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

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

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

Related Experiment Video

Updated: Jul 13, 2025

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

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

439

Local-Global Context Aware Transformer for Language-Guided Video Segmentation.

Chen Liang, Wenguan Wang, Tianfei Zhou

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |October 11, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Locater, a novel Transformer-based model, enhances language-guided video segmentation (LVS) by efficiently processing long-term video context. This approach improves accuracy and overcomes limitations of previous methods.

    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

    1.9K
    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    9.0K

    Related Experiment Videos

    Last Updated: Jul 13, 2025

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

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    439
    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

    1.9K
    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    9.0K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Existing language-guided video segmentation (LVS) algorithms often use 3D CNNs, limiting long-term context understanding and causing visual-linguistic misalignment.
    • These methods struggle with complex videos requiring nuanced comprehension of temporal dynamics and object relationships.

    Purpose of the Study:

    • To introduce Locater, a Transformer-based architecture designed for efficient and accurate language-guided video segmentation.
    • To address the limitations of previous LVS methods in capturing long-term context and achieving precise visual-linguistic alignment.

    Main Methods:

    • Locater utilizes a Transformer architecture augmented with a finite memory system comprising global content preservation and dynamic local context gathering.
    • The model generates adaptive query vectors for each frame, enabling holistic comprehension of language expressions for mask generation.
    • Locater achieves linear time complexity and constant memory usage for video processing, overcoming the quadratic scaling of standard Transformer self-attention.

    Main Results:

    • Experiments on multiple LVS datasets, including the new challenging A2D-S+ dataset, demonstrate Locater's superior performance over state-of-the-art methods.
    • Locater achieved first place in the Referring Video Object Segmentation Track at the 3rd Large-scale Video Object Segmentation Challenge.
    • The model effectively handles disambiguation among similar objects, showcasing robust visual grounding capabilities.

    Conclusions:

    • Locater represents a significant advancement in language-guided video segmentation, offering improved efficiency and accuracy.
    • The proposed memory-augmented Transformer architecture effectively integrates global and local video context for precise segmentation.
    • The development of the A2D-S+ dataset provides a valuable resource for advancing research in challenging visual grounding tasks.