CTHPose: An Efficient and Effective CNN-Transformer Hybrid Network for Human Pose Estimation

Danya Chen, Lijun Wu, Zhicong Chen, Xufeng Lin. CTHPose: An Efficient and Effective CNN-Transformer Hybrid Network for Human Pose Estimation. In Qingshan Liu 0001, Hanzi Wang, Zhanyu Ma, Weishi Zheng 0001, Hongbin Zha, Xilin Chen 0001, Liang Wang, Rongrong Ji, editors, Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V. Volume 14429 of Lecture Notes in Computer Science, pages 327-339, Springer, 2023. [doi]

@inproceedings{ChenWCL23,
  title = {CTHPose: An Efficient and Effective CNN-Transformer Hybrid Network for Human Pose Estimation},
  author = {Danya Chen and Lijun Wu and Zhicong Chen and Xufeng Lin},
  year = {2023},
  doi = {10.1007/978-981-99-8469-5_26},
  url = {https://doi.org/10.1007/978-981-99-8469-5_26},
  researchr = {https://researchr.org/publication/ChenWCL23},
  cites = {0},
  citedby = {0},
  pages = {327-339},
  booktitle = {Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V},
  editor = {Qingshan Liu 0001 and Hanzi Wang and Zhanyu Ma and Weishi Zheng 0001 and Hongbin Zha and Xilin Chen 0001 and Liang Wang and Rongrong Ji},
  volume = {14429},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8469-5},
}