Semi-Supervised 3D Human Pose Estimation by Jointly Considering Temporal and Multiview Information

Three-dimensional human pose estimation is usually conducted in a supervised manner. However, because collecting labeled 3D skeletons is expensive and time-consuming, semi-supervised methods that need much fewer amount of labeled 3D data are urgently demanded. Some semi-supervised learning methods p...

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Bibliographic Details
Main Authors: Wei-Ta Chu, Zong-Wei Pan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9298758/