Joint graph convolution networks and transformer for human pose estimation in sports technique analysis
Author:
Funder
National Office for Philosophy and Social Sciences
Special Project of Central Government for Local Science and Technology Development of Hubei Province
Publisher
Elsevier BV
Subject
General Computer Science
Reference30 articles.
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3. Chen, Y., Wang, Z., Peng, Y., Zhang, Z., Yu, G., Sun, J., 2018. Cascaded pyramid network for multi-person pose estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 7103–7112.
4. Diogo, J., Rodrigues, R., Madeira, R., Correia, N., 2022. Video Annotation Tool Using Human Pose Estimation for Sports Training. In: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia. pp. 262–265.
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1. MAQT:Multi-scale Attention and Query-Optimized Transformer for End-to-End Pose Estimation;2024-07-24
2. An efficient and accurate 2D human pose estimation method using VTTransPose network;Scientific Reports;2024-03-31
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