Toward accurate hand mesh estimation via masked image modeling
IntroductionWith an enormous number of hand images generated over time, leveraging unlabeled images for pose estimation is an emerging yet challenging topic. While some semi-supervised and self-supervised methods have emerged, they are constrained by their reliance on high-quality keypoint detection...
Saved in:
Main Authors: | Yanli Li, Congyi Wang, Huan Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Physics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2024.1515842/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Online Self-Supervised Learning for Accurate Pick Assembly Operation Optimization
by: Sergio Valdés, et al.
Published: (2024-12-01) -
Evaluation of efficacy of two bag-mask ventilation techniques by novice airway providers: Two-handed CE versus dominant-hand CE–non-dominant-hand thenar eminence techniques – A randomised controlled trial
by: Neetu Saroye, et al.
Published: (2024-11-01) -
Masked Modeling-Based Ultrasound Image Classification via Self-Supervised Learning
by: Kele Xu, et al.
Published: (2024-01-01) -
Assessing Knowledge, Attitudes and Practice of Hand Washing with Soap among Mothers and Caregivers of Children under Five years in Ntungamo District, Uganda
by: Topher, Byamukama
Published: (2020) -
Mask Material Filtration Efficiency and Mask Fitting at the Crossroads: Implications during Pandemic Times
by: Karin Ardon-Dryer, et al.
Published: (2021-03-01)