WideHRNet: An Efficient Model for Human Pose Estimation Using Wide Channels in Lightweight High-Resolution Network
Human pose estimation is a task that involves locating the body joints in an image. Current deep learning models accurately estimate the locations of these joints. However, they struggle with smaller joints, such as the wrist and ankle, leading to lower accuracy. To address this problem, current mod...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10707605/ |
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