2D Human Pose Estimation: New Benchmark and State of the Art Analysis

@article{Andriluka20142DHP,
  title={2D Human Pose Estimation: New Benchmark and State of the Art Analysis},
  author={M. Andriluka and L. Pishchulin and P. Gehler and B. Schiele},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={3686-3693}
}
  • M. Andriluka, L. Pishchulin, +1 author B. Schiele
  • Published 2014
  • Computer Science
  • 2014 IEEE Conference on Computer Vision and Pattern Recognition
  • Human pose estimation has made significant progress during the last years. [...] Key Method This comprehensive dataset was collected using an established taxonomy of over 800 human activities [1]. The collected images cover a wider variety of human activities than previous datasets including various recreational, occupational and householding activities, and capture people from a wider range of viewpoints.Expand Abstract
    FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition
    2
    Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark
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    3D human pose estimation by depth map
    Towards Generalization of 3D Human Pose Estimation In The Wild
    Learning to Refine Human Pose Estimation
    34
    Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision
    235
    Exploiting Temporal Information for 3D Human Pose Estimation
    86

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