Deep High-Resolution Representation Learning for Human Pose Estimation | VitaVision
PaperCVPR 2019 · 2019

Deep High-Resolution Representation Learning for Human Pose Estimation

Ke SunBin XiaoDong LiuJingdong Wang
arXiv 1902.09212DOIView in graph
1page built on it
2more pages cite it
1narrative
3registry papers cite it

In the Atlas

ModelPrimary source of
HRNet

CNN backbone family for dense prediction that maintains a high-resolution branch throughout the network and runs four parallel multi-resolution streams (.

Cited as a reference by 2 pages, grouped by domain

Segmentation 2
FocalClickRITM

Appears in 1 narrative

NarrativeSegmentation, from Energy to Prompt

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Papers in the Atlas registry only · one dot per paper
Built upon by · 3
’15’16’17’18’19’20’21High-Resolution Representations for Labeling Pixels and Regions (2019)Deep High-Resolution Representation Learning for Visual Recognition (2020)Vision Transformers for Dense Prediction (2021)Going deeper with convolutions (2015)Deep Residual Learning for Image Recognition (2016)