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Deep High-Resolution Representation Learning for Human Pose Estimation

Introduction

@inproceedings{SunXLW19,
  title={Deep High-Resolution Representation Learning for Human Pose Estimation},
  author={Ke Sun and Bin Xiao and Dong Liu and Jingdong Wang},
  booktitle={CVPR},
  year={2019}
}

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) download
FCN HRNetV2p-W18-Small 512x1024 40000 1.7 23.74 73.86 75.91 model | log
FCN HRNetV2p-W18 512x1024 40000 2.9 12.97 77.19 78.92 model | log
FCN HRNetV2p-W48 512x1024 40000 6.2 6.42 78.48 79.69 model | log
FCN HRNetV2p-W18-Small 512x1024 80000 - - 75.31 77.48 model | log
FCN HRNetV2p-W18 512x1024 80000 - - 78.65 80.35 model | log
FCN HRNetV2p-W48 512x1024 80000 - - 79.93 80.72 model | log
FCN HRNetV2p-W18-Small 512x1024 160000 - - 76.31 78.31 model | log
FCN HRNetV2p-W18 512x1024 160000 - - 78.80 80.74 model | log
FCN HRNetV2p-W48 512x1024 160000 - - 80.65 81.92 model | log

ADE20K

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) download
FCN HRNetV2p-W18-Small 512x512 80000 3.8 38.66 31.38 32.45 model | log
FCN HRNetV2p-W18 512x512 80000 4.9 22.57 35.51 36.80 model | log
FCN HRNetV2p-W48 512x512 80000 8.2 21.23 41.90 43.27 model | log
FCN HRNetV2p-W18-Small 512x512 160000 - - 33.00 34.55 model | log
FCN HRNetV2p-W18 512x512 160000 - - 36.79 38.58 model | log
FCN HRNetV2p-W48 512x512 160000 - - 42.02 43.86 model | log

Pascal VOC 2012 + Aug

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) download
FCN HRNetV2p-W18-Small 512x512 20000 1.8 43.36 65.20 68.55 model | log
FCN HRNetV2p-W18 512x512 20000 2.9 23.48 72.30 74.71 model | log
FCN HRNetV2p-W48 512x512 20000 6.2 22.05 75.87 78.58 model | log
FCN HRNetV2p-W18-Small 512x512 40000 - - 66.61 70.00 model | log
FCN HRNetV2p-W18 512x512 40000 - - 72.90 75.59 model | log
FCN HRNetV2p-W48 512x512 40000 - - 76.24 78.49 model | log