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Showing 1 to 1 of 1 for “"Stacked Hourglass Networks"”.
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Stacked dense-hourglass networks for human pose estimation
Convolutional Neural Networks (CNNs) are driving major advances in many computer vision tasks, including the problem of 2D single-person pose estimation. For this task, the Stacked Hourglass Networks (Stack-HgNets) is one of the state-of-the-art architecture that uses residual modules extensively …