• DOI:10.1109/cvpr42600.2020.00689
Corpus ID: 219632574

PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation

@article{Benzine2020PandaNetAS,
  title={PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation},
  author={Abdallah Benzine and Florian Chabot and Bertrand Luvison and Quoc-Cuong Pham and C. Achard},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={6855-6864}
}

• Abdallah Benzine, Florian Chabot, +2 authors C. Achard
• Published 2020
• Computer Science
• 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Recently, several deep learning models have been proposed for 3D human pose estimation. Nevertheless, most of these approaches only focus on the single-person case or estimate 3D pose of a few people at high resolution. Furthermore, many applications such as autonomous driving or crowd analysis require pose estimation of a large number of people possibly at low-resolution. In this work, we present PandaNet (Pose estimAtioN and Dectection Anchor-based Network), a new single-shot, anchor-based… Expand

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