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

You might also read

Related Articles

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

Sort by
Same author

Nonlinear hydrothermal associations between coupled landscape ecological risk and resilience in a major grain-producing region of China.

Journal of environmental management·2026
Same author

LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding.

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

A novel multi-task deep learning framework for classification and detection of intracranial structures in first-trimester fetal ultrasound images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026
Same author

A new strategy for improving the precision and accuracy of isotope ratio analysis by quadrupole ICP-MS with the optimization of ion beam trajectory.

Analytical methods : advancing methods and applications·2026
Same author

Time-lapse ERT monitoring of the MPE-induced cone of depression at a low-permeability NAPL site: A field-based quantitative assessment of array-dependent geometric fidelity.

Journal of contaminant hydrology·2026
Same author

Molecular biology of targeting lymphangiogenesis in cancer: Therapeutic strategies and future promise.

Fundamental research·2026

Related Experiment Video

Updated: Jul 8, 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

557

Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching.

Dingwen Zhang, Hao Li, Wenyuan Zeng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |December 20, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces Alternate Self-Dual Teaching (ASDT) for weakly supervised semantic segmentation (WSSS). ASDT generates better pseudo segmentation masks by combining object parts and full structure information, achieving state-of-the-art results.

    More Related Videos

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.8K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    405

    Related Experiment Videos

    Last Updated: Jul 8, 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

    557
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.8K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    405

    Area of Science:

    • Computer Vision
    • Artificial Intelligence

    Background:

    • Weakly supervised semantic segmentation (WSSS) is crucial for image analysis.
    • Generating high-quality pseudo segmentation masks (PSMs) is a key challenge in WSSS.
    • Existing methods often miss object parts or include background due to lack of full object structure awareness.

    Purpose of the Study:

    • To develop a novel framework for generating high-quality PSMs in WSSS.
    • To effectively utilize both discriminative object parts and full object structure information.
    • To improve the performance of WSSS by addressing limitations of current approaches.

    Main Methods:

    • Proposed a novel end-to-end learning framework: Alternate Self-Dual Teaching (ASDT).
    • Employed a dual-teacher single-student network architecture.
    • Utilized knowledge distillation (KD) with a Pulse Width (PW) modulation-inspired selection signal to handle noisy teacher knowledge.

    Main Results:

    • ASDT effectively integrates discriminative object parts and full object structure information.
    • The PW wave-like selection signal mitigates the impact of imperfect knowledge from teacher models.
    • Achieved new state-of-the-art results on PASCAL VOC 2012 and COCO-Stuff 10K datasets.

    Conclusions:

    • The proposed ASDT framework significantly enhances the quality of PSMs in WSSS.
    • ASDT demonstrates superior performance compared to existing methods.
    • The approach offers a promising direction for advancing weakly supervised semantic segmentation.