TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Keypoint Detection	COCO	HRNet-48	Validation AP	76.3	# 3
Keypoint Detection	COCO	HRNet-48	Test AP	75.5	# 5
Keypoint Detection	COCO	HRNet-32	Validation AP	75.8	# 4
Instance Segmentation	COCO minival	HTC (HRNetV2p-W48)	mask AP	41.0	# 12
Pose Estimation	COCO test-dev	HRNet-W48	AP	77	# 2
Pose Estimation	COCO test-dev	HRNet-W48	AP50	92.7	# 2
Pose Estimation	COCO test-dev	HRNet-W48	AP75	84.5	# 2
Pose Estimation	COCO test-dev	HRNet-W48	APL	83.1	# 2
Pose Estimation	COCO test-dev	HRNet-W48	APM	73.4	# 4
Pose Estimation	COCO test-dev	HRNet-W48	AR	82	# 2
Keypoint Detection	COCO test-dev	HRNet	APL	81.5	# 3
Keypoint Detection	COCO test-dev	HRNet	APM	71.9	# 4
Keypoint Detection	COCO test-dev	HRNet	AP50	92.5	# 3
Keypoint Detection	COCO test-dev	HRNet	AP75	83.3	# 4
Keypoint Detection	COCO test-dev	HRNet	AR	80.5	# 4
Keypoint Detection	COCO test-dev	HRNet*	APL	83.1	# 1
Keypoint Detection	COCO test-dev	HRNet*	APM	73.4	# 1
Keypoint Detection	COCO test-dev	HRNet*	AP50	92.7	# 2
Keypoint Detection	COCO test-dev	HRNet*	AP75	84.5	# 1
Keypoint Detection	COCO test-dev	HRNet*	AR	82.0	# 1
Pose Estimation	MPII Human Pose	HRNet-W32	PCKh-0.5	92.3%	# 6
Pose Tracking	PoseTrack2017	HRNet-W48 COCO	MOTA	57.9	# 3
Pose Tracking	PoseTrack2017	HRNet-W48 COCO	MAP	74.9	# 2

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Deep High-Resolution Representation Learning for Human Pose Estimation

CVPR 2019 • Ke Sun • Bin Xiao • Dong Liu • Jingdong Wang

This is an official pytorch implementation of Deep High-Resolution Representation Learning for Human Pose Estimation. In this work, we are interested in the human pose estimation problem with a focus on learning reliable high-resolution representations... (read more)

PDF Abstract CVPR 2019 PDF CVPR 2019 Abstract

Code

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leoxiaobin/deep-high-resolution-net.pytorch official

3,016

Microsoft/human-pose-estimation.pytorch official

2,218

osmr/imgclsmob

2,035

HRNet/HRNet-Semantic-Segmentation

1,828

open-mmlab/mmpose

629

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Tasks

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INSTANCE SEGMENTATION

KEYPOINT DETECTION

MULTI-PERSON POSE ESTIMATION

OBJECT DETECTION

POSE ESTIMATION

POSE TRACKING

REPRESENTATION LEARNING

Datasets

COCO

MPII

MOT16

MPII Human Pose

PoseTrack

Results from the Paper

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Ranked #1 on Keypoint Detection on COCO test-dev

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Keypoint Detection	COCO	HRNet-48	Validation AP	76.3	# 3	Compare
Keypoint Detection	COCO	HRNet-48	Test AP	75.5	# 5	Compare
Keypoint Detection	COCO	HRNet-32	Validation AP	75.8	# 4	Compare
Instance Segmentation	COCO minival	HTC (HRNetV2p-W48)	mask AP	41.0	# 12	Compare
Pose Estimation	COCO test-dev	HRNet-W48	AP	77	# 2	Compare
			AP50	92.7	# 2	Compare
			AP75	84.5	# 2	Compare
			APL	83.1	# 2	Compare
			APM	73.4	# 4	Compare
			AR	82	# 2	Compare
Keypoint Detection	COCO test-dev	HRNet	APL	81.5	# 3	Compare
			APM	71.9	# 4	Compare
			AP50	92.5	# 3	Compare
			AP75	83.3	# 4	Compare
			AR	80.5	# 4	Compare
Keypoint Detection	COCO test-dev	HRNet*	APL	83.1	# 1	Compare
			APM	73.4	# 1	Compare
			AP50	92.7	# 2	Compare
			AP75	84.5	# 1	Compare
			AR	82.0	# 1	Compare
Pose Estimation	MPII Human Pose	HRNet-W32	PCKh-0.5	92.3%	# 6	Compare
Pose Tracking	PoseTrack2017	HRNet-W48 COCO	MOTA	57.9	# 3	Compare
Pose Tracking	PoseTrack2017	HRNet-W48 COCO	MAP	74.9	# 2	Compare

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Deep High-Resolution Representation Learning for Human Pose Estimation

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