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)	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