Papers › To Perceive or Not to Perceive: Lightweight Stacked Hourglass Network

To Perceive or Not to Perceive: Lightweight Stacked Hourglass Network

9 Feb 2023arXiv:2302.04815archive 2025-07-28

Jameel Hassan Abdul Samadh, Salwa K. Al Khatib

Human pose estimation (HPE) is a classical task in computer vision that focuses on representing the orientation of a person by identifying the positions of their joints. We design a lighterversion of the stacked hourglass network with minimal loss in performance of the model. The lightweight 2-stacked hourglass has a reduced number of channels with depthwise separable convolutions, residual connections with concatenation, and residual connections between the necks of the hourglasses. The final model has a marginal drop in performance with 79% reduction in the number of parameters and a similar drop in MAdds

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Pose Estimation

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Methods

1x1 ConvolutionConvolutionHourglass ModuleMax PoolingReLUResidual ConnectionStacked Hourglass Network

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