Toward accurate hand mesh estimation via masked image modeling

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...

Podrobná bibliografie
Hlavní autoři:	Yanli Li, Congyi Wang, Huan Wang
Médium:	Článek
Jazyk:	English
Vydáno:	Frontiers Media S.A. 2025-01-01
Edice:	Frontiers in Physics
Témata:	3D hand mesh estimation multi-granularity representation self-supervised learning masked image modeling vision transformer
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fphy.2024.1515842/full

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