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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9298758/ |