Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google came up with Mediapipe, followed by YOLOpose, which gained major attention and is widely adopted due to its efficiency and accuracy.
More cameras, more problems? Why deep learning still struggles with 3D human sensing
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