Multi-Person Pose Estimation

Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.

( Image credit: Human Pose Estimation with TensorFlow )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 126–150 of 151 papers

Title	Date	Tasks	Status
End-to-end Learning for Graph Decomposition	Dec 23, 2018	ClusteringMulti-Person Pose Estimation	—Unverified
DAC: Data-free Automatic Acceleration of Convolutional Networks	Dec 20, 2018	image-classificationImage Classification	CodeCode Available
PoseFix: Model-agnostic General Human Pose Refinement Network	Dec 10, 2018	2D Human Pose EstimationKeypoint Detection	CodeCode Available
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark	Dec 2, 2018	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available
Improving Multi-Person Pose Estimation using Label Correction	Nov 8, 2018	Missing LabelsMulti-Person Pose Estimation	—Unverified
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking	Oct 19, 2018	Multi-Person Pose EstimationMulti-Person Pose Estimation and Tracking	—Unverified
Pose Partition Networks for Multi-Person Pose Estimation	Sep 1, 2018	Human DetectionMulti-Person Pose Estimation	—Unverified
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation	Sep 1, 2018	Multi-Person Pose EstimationPose Estimation	—Unverified
Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint	Jul 26, 2018	Multi-Person Pose EstimationPose Estimation	—Unverified
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network	Jul 11, 2018	Human DetectionKeypoint Detection	CodeCode Available
Human Pose Estimation With Parsing Induced Learner	Jun 1, 2018	Human ParsingMulti-Person Pose Estimation	—Unverified
Joint Flow: Temporal Flow Fields for Multi Person Tracking	May 11, 2018	Multi-Person Pose EstimationPose Estimation	—Unverified
Bi-directional Graph Structure Information Model for Multi-Person Pose Estimation	May 2, 2018	Multi-Person Pose EstimationPose Estimation	—Unverified
Learning to Refine Human Pose Estimation	Apr 21, 2018	Data AugmentationKeypoint Detection	—Unverified
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model	Mar 22, 2018	Instance SegmentationKeypoint Detection	CodeCode Available
Efficient Multi-Person Pose Estimation with Provable Guarantees	Nov 21, 2017	Multi-Person Pose EstimationPose Estimation	—Unverified
PoseTrack: A Benchmark for Human Pose Estimation and Tracking	Oct 27, 2017	Activity RecognitionMulti-Person Pose Estimation	CodeCode Available
Multi-Person Pose Estimation via Column Generation	Sep 18, 2017	Multi-Person Pose EstimationPose Estimation	—Unverified
Joint Multi-Person Pose Estimation and Semantic Part Segmentation	Aug 10, 2017	Human DetectionMulti-Person Pose Estimation	—Unverified
Towards Accurate Multi-person Pose Estimation in the Wild	Jan 6, 2017	Human DetectionKeypoint Detection	—Unverified
ArtTrack: Articulated Multi-person Tracking in the Wild	Dec 5, 2016	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available
PoseTrack: Joint Multi-Person Pose Estimation and Tracking	Nov 23, 2016	Multi-Person Pose EstimationMulti-Person Pose Estimation and Tracking	CodeCode Available
Associative Embedding: End-to-End Learning for Joint Detection and Grouping	Nov 16, 2016	2D Human Pose EstimationInstance Segmentation	CodeCode Available
Multi-Person Pose Estimation with Local Joint-to-Person Associations	Aug 30, 2016	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model	May 10, 2016	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available

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All datasets CrowdPose COCO (Common Objects in Context)COCO test-dev MPII Multi-Person OCHuman COCO minival PoseTrack2018 PoseTrack2017 WAF COCO Multi-Person PoseTrack PoseTrack21

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RTMO-l	mAP @0.5:0.95	83.8	—	Unverified
2	BUCTD-W48 (w/cond. input from PETR, and generative sampling)	mAP @0.5:0.95	78.5	—	Unverified
3	I²R-Net (1st stage: HRFormer-B)	mAP @0.5:0.95	77.4	—	Unverified
4	ED-Pose (Swin-L)	mAP @0.5:0.95	76.6	—	Unverified
5	DETRPose-X	mAP @0.5:0.95	75.1	—	Unverified
6	DETRPose-L	mAP @0.5:0.95	73.3	—	Unverified
7	HRFormer-B	mAP @0.5:0.95	72.4	—	Unverified
8	BAPose (W32)	mAP @0.5:0.95	72.2	—	Unverified
9	DETRPose-M	mAP @0.5:0.95	72	—	Unverified
10	TransPose-H	mAP @0.5:0.95	71.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EvoPose2D-L	Test AP	76.8	—	Unverified
2	PoseFix	Test AP	76.7	—	Unverified
3	LitePose-S	Test AP	56.7	—	Unverified
4	RSN	AP	0.79	—	Unverified
5	DarkPose	AP	0.77	—	Unverified
6	UniPose	AP	0.77	—	Unverified
7	CPN+	AP	0.73	—	Unverified
8	BAPose	AP	0.73	—	Unverified
9	CenterGroup	AP	0.71	—	Unverified
10	OpenPifPaf	AP	0.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SCIO (HRNet-48)	AP	79.2	—	Unverified
2	HRNet-W48plus	AP	78.7	—	Unverified
3	HRNet-W32	AP	76.2	—	Unverified
4	ResNet50	AP	73.7	—	Unverified
5	HigherHRNet (ScaleNet_P4)	AP	71.6	—	Unverified
6	HigherHRNet (HR-Net-48)	AP	70.5	—	Unverified
7	SMPR (HR-Net-32)	AP	70.2	—	Unverified
8	PersonLab	AP	68.7	—	Unverified
9	Identity Mapping Hourglass	AP	68.1	—	Unverified
10	SPM	AP	66.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AlphaPose	AP	82.1	—	Unverified
2	Generative Partition Networks	AP	80.4	—	Unverified
3	SPM	AP	78.5	—	Unverified
4	Refine	AP	78	—	Unverified
5	Associative Embedding	AP	77.5	—	Unverified
6	Part Affinity Fields	AP	75.6	—	Unverified
7	Articulated Tracking	AP	74.3	—	Unverified
8	Local Joint-to-Person Association	AP	62.2	—	Unverified
9	DeeperCut	AP	59.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIPNet (gt-bb)	AP50	89.7	—	Unverified
2	I²R-Net (1st stage:TransPose-H)	AP50	85	—	Unverified
3	TransPose-H	AP50	82.7	—	Unverified
4	HRFormer-B	AP50	81.4	—	Unverified
5	SPM	AP50	67.5	—	Unverified
6	CrowdPose	AP50	40.8	—	Unverified
7	SimplePose	AP50	37.4	—	Unverified
8	Mask R-CNN	AP50	33.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HRNet-W48plus	AP	79.1	—	Unverified
2	HRNet-W32	AP	77.8	—	Unverified
3	ResNet50	AP	75.3	—	Unverified
4	InsPose	AP	63.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Poseidon	Mean mAP	87.8	—	Unverified
2	DCPose	Mean mAP	79	—	Unverified
3	PoseWarper	Mean mAP	78	—	Unverified
4	Refine	Mean mAP	73.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DCPose	Mean mAP	79.2	—	Unverified
2	PoseWarper	Mean mAP	77.94	—	Unverified
3	PoseTrack	Mean mAP	59.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeeperCut	AOP	88.1	—	Unverified
2	DeepCut	AOP	86.5	—	Unverified
3	Generative Partition Networks	AP	84.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CMU-Pose	AP	0.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PoseTrack	Mean mAP	38.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Poseidon	Mean mAP	88.3	—	Unverified