Human Pose Estimation Based on a Spatial Temporal Graph Convolutional Network
To address the problem of poor detection and under-utilization of the spatial relationship between nodes in human pose estimation, a method based on an improved spatial temporal graph convolutional network (ST-GCN) model is proposed. Firstly, upsampling and segmented random sampling strategies are u...
| الحاوية / القاعدة: | Applied Sciences |
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| المؤلفون الرئيسيون: | , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
MDPI AG
2023-03-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2076-3417/13/5/3286 |