Dual Path Networks for Multi-Person Human Pose Estimation

Understand

The task of multi-person human pose estimation in natural scenes is quite challenging.

• Existing methods include both top-down and bottom-up approaches.
• The main advantage of bottom-up methods is its excellent tradeoff between estimation accuracy and computational cost.
• We follow this path and aim to design smaller, faster, and more accurate neural networks for the regression of keypoints and limb association vectors.