Benchmarking 2D Egocentric Hand Pose Datasets

Hand pose estimation from egocentric video is a topic of significant interest with broad implications for human-computer interactions, assistive technologies, activity recognition, and robotics. The efficacy of modern machine learning models depends on the quality of data used for their training. Th...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Olga Taran, Damian M. Manzone, Jose Zariffa
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Benchmarking datasets 2D hand pose estimation egocentric video
Online Access:	https://ieeexplore.ieee.org/document/11015740/