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Keyword: human pose estimation ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Deep High-Resolution Representation Learning for Visual Recognition

   Wang, Sun, Cheng et al. · arXiv (Cornell University) · 2019

   The paper proposes HRNet, which keeps high-resolution representations throughout the network, and reports that it performs well in pose estimation, semantic segmentation and object detection.

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   1. UncheckedKeeping high-resolution streams in parallel and exchanging information across resolutions gives representations that are semantically richer and spatially more precise.“The benefit is that the resulting representation is semantically richer and spatially more precise.”