From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation

Chen Li, Gim Hee Lee. From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. pages 1482-1491, Computer Vision Foundation / IEEE, 2021. [doi]

@inproceedings{LiL21-74,
  title = {From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation},
  author = {Chen Li and Gim Hee Lee},
  year = {2021},
  url = {https://openaccess.thecvf.com/content/CVPR2021/html/Li_From_Synthetic_to_Real_Unsupervised_Domain_Adaptation_for_Animal_Pose_CVPR_2021_paper.html},
  researchr = {https://researchr.org/publication/LiL21-74},
  cites = {0},
  citedby = {0},
  pages = {1482-1491},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021},
  publisher = {Computer Vision Foundation / IEEE},
}