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: Jul 7, 2026

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

ATD: Improved Transformer With Adaptive Token Dictionary for Image Restoration.

Leheng Zhang, Wei Long, Yawei Li

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |March 3, 2026
    PubMed
    Summary

    We introduce Adaptive Token Dictionary (ATD), a novel transformer architecture for image restoration. ATD enables efficient global dependency modeling with linear complexity, achieving state-of-the-art results in super-resolution and denoising.

    Related Concept Videos

    The Ideal Transformer01:26

    The Ideal Transformer

    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 tangential component...

    You might also read

    Related Articles

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

    Sort by
    Same author

    Study on the Carbonation Behavior of Steel Slag in the SiC-K<sub>2</sub>SiO<sub>3</sub> System Assisted by Microwave Heating.

    Materials (Basel, Switzerland)·2026
    Same author

    Per- and polyfluoroalkyl substances in breast milk and child growth trajectories during the first two years: A prospective birth cohort study in Nanjing, China.

    Journal of hazardous materials·2026
    Same author

    Tobacco smoke exposure and spine fracture risk in US adults: A cross-sectional analysis of the National Health and Nutrition Examination Survey 1999-2010, 2013-2014, 2017-2020.

    Tobacco induced diseases·2026
    Same author

    Acute Pulmonary Embolism With Multiple ST-Segment Elevations in Anterior and Inferior Leads: A Case Report.

    Case reports in cardiology·2026
    Same author

    Exploratory meta-analysis of the effect of music intervention on arousal promotion in patients with disorders of consciousness: evidence from controlled studies.

    Frontiers in neuroscience·2026
    Same author

    Non-Electrode Droplet Manipulation via Triboelectrification Near-Field Energy Transmission.

    Research (Washington, D.C.)·2026

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Deep Learning

    Background:

    • Transformers excel in image restoration but face computational challenges.
    • Quadratic complexity of self-attention limits receptive fields in existing models.

    Purpose of the Study:

    • To develop a transformer-based image restoration model with linear complexity.
    • To enable effective global dependency modeling for improved performance.

    Main Methods:

    • Proposed Adaptive Token Dictionary (ATD) with a learnable token dictionary.
    • Introduced token dictionary cross-attention (TDCA) for feature enhancement.
    • Utilized category information for feature grouping and feed-forward network integration.

    Main Results:

    Related Experiment Videos

    Last Updated: Jul 7, 2026

    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

    • ATD and ATD-light achieve state-of-the-art performance on super-resolution benchmarks.
    • ATD-U demonstrates effectiveness in image denoising and JPEG artifact removal.
    • Models show significant quantitative and qualitative improvements.

    Conclusions:

    • ATD offers an efficient solution for transformer-based image restoration.
    • The proposed methods effectively model global dependencies and enhance feature fusion.
    • ATD variants are versatile for various image restoration tasks.