Optimizing Human Pose Estimation Using a Simplified UNet Architecture: An Experimental Analysis on Depth and Width Parameters
Human pose estimation (HPE) is a significant problem in the field of computer vision, with wide applications in action recognition, intelligent surveillance, and other areas. With the development of deep learning, the accuracy of pose estimation has significantly improved. However, high-precision po
Authors
- Shenghao Ren
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4108/eai.21-11-2024.2354631
- Primary Topic
- Human Pose and Action Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00