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Composite Localization for Human Pose Estimation

arXiv 2105.07245 ↗First posted 15 May 2021cs.CV cs.AIcited by 0

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Abstract (arXiv)

The existing human pose estimation methods are confronted with inaccurate long-distance regression or high computational cost due to the complex learning objectives. This work proposes a novel deep learning framework for human pose estimation called composite localization to divide the complex learning objective into two simpler ones: a sparse heatmap to find the keypoint's approximate location and two short-distance offsetmaps to obtain its final precise coordinates. To realize the framework, we construct two types of composite localization networks: CLNet-ResNet and CLNet-Hourglass. We evaluate the networks on three benchmark datasets, including the Leeds Sports Pose dataset, the MPII Human Pose dataset, and the COCO keypoints detection dataset. The experimental results show that our CLNet-ResNet50 outperforms SimpleBaseline by 1.14% with about 1/2 GFLOPs. Our CLNet-Hourglass outperforms the original stacked-hourglass by 4.45% on COCO.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 19 of its 27 references that are in the map. First posted on arXiv 15 May 2021.

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References · 19

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
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  3. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
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  5. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  6. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 915
  7. 2018Simple Baselines for Human Pose Estimation and Trackingcited by 502
  8. 2017Cascaded Pyramid Network for Multi-Person Pose Estimationcited by 341
  9. 2013DeepPose: Human Pose Estimation via Deep Neural Networkscited by 305
  10. 2017Integral Human Pose Regressioncited by 256
  11. 2014Efficient Object Localization Using Convolutional Networkscited by 227
  12. 2017Towards Accurate Multi-person Pose Estimation in the Wildcited by 131
7 more
  1. 2014Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimationcited by 129
  2. 2017Compositional Human Pose Regressioncited by 124
  3. 2015Human Pose Estimation with Iterative Error Feedbackcited by 121
  4. 2018Fast Human Pose Estimationcited by 68
  5. 2017Learning Feature Pyramids for Human Pose Estimationcited by 57
  6. 2020UniPose: Unified Human Pose Estimation in Single Images and Videoscited by 49
  7. 2018Multi-Scale Structure-Aware Network for Human Pose Estimationcited by 37

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