2D Pose Estimation.pdf

McNally_William.pdf
Preview of 2D Pose Estimation
🔗 Source: uwspace.uwaterloo.ca
📊 Size: 15.15 MB
📄 Pages: 126 pages
⬇️ Downloads: 67

Summary

William McNally's PhD thesis presents two novel convolutional neural networks for 2D human pose estimation, one for single-stage and one for two-stage multi-person estimation paradigms, using accelerated neuroevolution and novel keypoint representations, achieving state-of-the-art accuracy and computational efficiency on established benchmarks.

Description

William McNally's PhD thesis presents two novel convolutional neural networks for 2D human pose estimation, one for single-stage and one for two-stage...

Technical Information

  • File Format: PDF
  • File Size: 15.15 MB
  • Pages: 126
  • Language: EN
  • Total Downloads: 67
  • Last Updated: 3 days ago

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This PDF document about 2D Pose Estimation provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into 2D Pose Estimation.

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