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      "statement": "# HRNet: parallel high-resolution representations for pose estimation\n\nMaintained a high-resolution branch while adding lower-resolution branches in parallel and repeatedly exchanging multi-scale features to produce spatially precise keypoint heatmaps.\n\n## Scientific scope\n\nHigh resolution refers to the main representation after a strided stem, not untouched full-pixel detail at every layer. Original work targets visual pose estimation/tracking, not anatomical discovery or medical validation. General multi-scale and fusion ideas are inherited.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nKe Sun; Bin Xiao; Dong Liu; Jingdong Wang\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Deep High-Resolution Representation Learning for Human Pose Estimation](https://arxiv.org/abs/1902.09212v1)\n",
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