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README.md
README.md
 
 
fcn_hr18_480x480_40k_pascal_context.py
fcn_hr18_480x480_40k_pascal_context.py
 
 
fcn_hr18_480x480_40k_pascal_context_59.py
fcn_hr18_480x480_40k_pascal_context_59.py
 
 
fcn_hr18_480x480_80k_pascal_context.py
fcn_hr18_480x480_80k_pascal_context.py
 
 
fcn_hr18_480x480_80k_pascal_context_59.py
fcn_hr18_480x480_80k_pascal_context_59.py
 
 
fcn_hr18_512x1024_160k_cityscapes.py
fcn_hr18_512x1024_160k_cityscapes.py
 
 
fcn_hr18_512x1024_40k_cityscapes.py
fcn_hr18_512x1024_40k_cityscapes.py
 
 
fcn_hr18_512x1024_80k_cityscapes.py
fcn_hr18_512x1024_80k_cityscapes.py
 
 
fcn_hr18_512x512_160k_ade20k.py
fcn_hr18_512x512_160k_ade20k.py
 
 
fcn_hr18_512x512_20k_voc12aug.py
fcn_hr18_512x512_20k_voc12aug.py
 
 
fcn_hr18_512x512_40k_voc12aug.py
fcn_hr18_512x512_40k_voc12aug.py
 
 
fcn_hr18_512x512_80k_ade20k.py
fcn_hr18_512x512_80k_ade20k.py
 
 
fcn_hr18s_480x480_40k_pascal_context.py
fcn_hr18s_480x480_40k_pascal_context.py
 
 
fcn_hr18s_480x480_40k_pascal_context_59.py
fcn_hr18s_480x480_40k_pascal_context_59.py
 
 
fcn_hr18s_480x480_80k_pascal_context.py
fcn_hr18s_480x480_80k_pascal_context.py
 
 
fcn_hr18s_480x480_80k_pascal_context_59.py
fcn_hr18s_480x480_80k_pascal_context_59.py
 
 
fcn_hr18s_512x1024_160k_cityscapes.py
fcn_hr18s_512x1024_160k_cityscapes.py
 
 
fcn_hr18s_512x1024_40k_cityscapes.py
fcn_hr18s_512x1024_40k_cityscapes.py
 
 
fcn_hr18s_512x1024_80k_cityscapes.py
fcn_hr18s_512x1024_80k_cityscapes.py
 
 
fcn_hr18s_512x512_160k_ade20k.py
fcn_hr18s_512x512_160k_ade20k.py
 
 
fcn_hr18s_512x512_20k_voc12aug.py
fcn_hr18s_512x512_20k_voc12aug.py
 
 
fcn_hr18s_512x512_40k_voc12aug.py
fcn_hr18s_512x512_40k_voc12aug.py
 
 
fcn_hr18s_512x512_80k_ade20k.py
fcn_hr18s_512x512_80k_ade20k.py
 
 
fcn_hr48_480x480_40k_pascal_context.py
fcn_hr48_480x480_40k_pascal_context.py
 
 
fcn_hr48_480x480_40k_pascal_context_59.py
fcn_hr48_480x480_40k_pascal_context_59.py
 
 
fcn_hr48_480x480_80k_pascal_context.py
fcn_hr48_480x480_80k_pascal_context.py
 
 
fcn_hr48_480x480_80k_pascal_context_59.py
fcn_hr48_480x480_80k_pascal_context_59.py
 
 
fcn_hr48_512x1024_160k_cityscapes.py
fcn_hr48_512x1024_160k_cityscapes.py
 
 
fcn_hr48_512x1024_40k_cityscapes.py
fcn_hr48_512x1024_40k_cityscapes.py
 
 
fcn_hr48_512x1024_80k_cityscapes.py
fcn_hr48_512x1024_80k_cityscapes.py
 
 
fcn_hr48_512x512_160k_ade20k.py
fcn_hr48_512x512_160k_ade20k.py
 
 
fcn_hr48_512x512_20k_voc12aug.py
fcn_hr48_512x512_20k_voc12aug.py
 
 
fcn_hr48_512x512_40k_voc12aug.py
fcn_hr48_512x512_40k_voc12aug.py
 
 
fcn_hr48_512x512_80k_ade20k.py
fcn_hr48_512x512_80k_ade20k.py
 
 
hrnet.yml
hrnet.yml
 
 

README.md

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) config download
FCN HRNetV2p-W18-Small 512x1024 40000 1.7 23.74 73.86 75.91 config model | log
FCN HRNetV2p-W18 512x1024 40000 2.9 12.97 77.19 78.92 config model | log
FCN HRNetV2p-W48 512x1024 40000 6.2 6.42 78.48 79.69 config model | log
FCN HRNetV2p-W18-Small 512x1024 80000 - - 75.31 77.48 config model | log
FCN HRNetV2p-W18 512x1024 80000 - - 78.65 80.35 config model | log
FCN HRNetV2p-W48 512x1024 80000 - - 79.93 80.72 config model | log
FCN HRNetV2p-W18-Small 512x1024 160000 - - 76.31 78.31 config model | log
FCN HRNetV2p-W18 512x1024 160000 - - 78.80 80.74 config model | log
FCN HRNetV2p-W48 512x1024 160000 - - 80.65 81.92 config model | log

ADE20K

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
FCN HRNetV2p-W18-Small 512x512 80000 3.8 38.66 31.38 32.45 config model | log
FCN HRNetV2p-W18 512x512 80000 4.9 22.57 36.27 37.28 config model | log
FCN HRNetV2p-W48 512x512 80000 8.2 21.23 41.90 43.27 config model | log
FCN HRNetV2p-W18-Small 512x512 160000 - - 33.07 34.56 config model | log
FCN HRNetV2p-W18 512x512 160000 - - 36.79 38.58 config model | log
FCN HRNetV2p-W48 512x512 160000 - - 42.02 43.86 config model | log

Pascal VOC 2012 + Aug

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
FCN HRNetV2p-W18-Small 512x512 20000 1.8 43.36 65.5 68.89 config model | log
FCN HRNetV2p-W18 512x512 20000 2.9 23.48 72.30 74.71 config model | log
FCN HRNetV2p-W48 512x512 20000 6.2 22.05 75.87 78.58 config model | log
FCN HRNetV2p-W18-Small 512x512 40000 - - 66.61 70.00 config model | log
FCN HRNetV2p-W18 512x512 40000 - - 72.90 75.59 config model | log
FCN HRNetV2p-W48 512x512 40000 - - 76.24 78.49 config model | log

Pascal Context

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
FCN HRNetV2p-W48 480x480 40000 6.1 8.86 45.14 47.42 config model | log
FCN HRNetV2p-W48 480x480 80000 - - 45.84 47.84 config model | log

Pascal Context 59

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
FCN HRNetV2p-W48 480x480 40000 - - 50.33 52.83 config model | log
FCN HRNetV2p-W48 480x480 80000 - - 51.12 53.56 config model | log