Self-supervised Siamese keypoint inference network for human pose estimation and tracking
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00138-024-01515-5.pdf
Reference56 articles.
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3. Nguyen, H.-C., Nguyen, T.-H., Scherer, R., Le, V.-H.: Unified end-to-end YOLOv5-HR-TCM framework for automatic 2D/3D human pose estimation for real-time applications. Sensors 22(14), 5419 (2022)
4. Nguyen, H.-C., Nguyen, T.-H., Scherer, R., Le, V.-H.: Deep learning for human activity recognition on 3d human skeleton: survey and comparative study. Sensors. 23(11), 5121 (2023)
5. Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: European Conference on Computer Vision (ECCV) (2016)
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