Pose Estimation

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.

A common benchmark for this task is MPII Human Pose

( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3851–3900 of 4228 papers

Title	Date	Tasks	Status	Hype
Long-term 3D Localization and Pose from Semantic Labellings	Aug 1, 2017	Camera Pose EstimationPose Estimation	—Unverified	0
Recurrent 3D Pose Sequence Machines	Jul 31, 2017	3D Human Pose Estimation3D Pose Estimation	—Unverified	0
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network	Jul 31, 2017	Camera RelocalizationPose Estimation	—Unverified	0
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions	Jul 28, 2017	Autonomous VehiclesBenchmarking	CodeCode Available	0
Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation	Jul 25, 2017	Deep LearningPose Estimation	CodeCode Available	0
Towards Accurate Markerless Human Shape and Pose Estimation over Time	Jul 24, 2017	Pose Estimation	—Unverified	0
Towards Good Practices for Deep 3D Hand Pose Estimation	Jul 23, 2017	3D Hand Pose EstimationData Augmentation	—Unverified	0
STag: A Stable Fiducial Marker System	Jul 19, 2017	Homography EstimationPose Estimation	CodeCode Available	0
Houdini: Fooling Deep Structured Prediction Models	Jul 17, 2017	General ClassificationPose Estimation	—Unverified	0
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation	Jul 17, 2017	BenchmarkingPose Estimation	—Unverified	0
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes	Jul 15, 2017	3D ReconstructionObject	CodeCode Available	0
Discriminative Optimization: Theory and Applications to Computer Vision Problems	Jul 13, 2017	Camera Pose EstimationComputational Efficiency	—Unverified	0
Large-scale Multiview 3D Hand Pose Dataset	Jul 12, 2017	Deep LearningHand Pose Estimation	—Unverified	0
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	Jul 10, 2017	Deep Learningimage-classification	CodeCode Available	2
Self Adversarial Training for Human Pose Estimation	Jul 8, 2017	Pose Estimation	CodeCode Available	0
The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation	Jul 7, 2017	3D Hand Pose EstimationHand Pose Estimation	—Unverified	0
Computer methods for 3D motion tracking in real-time	Jul 5, 2017	GPUPose Estimation	—Unverified	0
LCR-Net: Localization-Classification-Regression for Human Pose	Jul 1, 2017	3D Human Pose Estimation3D Multi-Person Pose Estimation (absolute)	—Unverified	0
Soft-Margin Mixture of Regressions	Jul 1, 2017	Age EstimationCrowd Counting	—Unverified	0
Multiple People Tracking by Lifted Multicut and Person Re-Identification	Jul 1, 2017	Multiple People TrackingPerson Re-Identification	—Unverified	0
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios	Jul 1, 2017	Pose EstimationPosition	—Unverified	0
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications	Jul 1, 2017	Combinatorial OptimizationMultiple Object Tracking	—Unverified	0
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation	Jul 1, 2017	Head Pose EstimationPose Estimation	—Unverified	0
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking	Jul 1, 2017	Face ModelPose Estimation	—Unverified	0
Robust Visual Tracking Using Oblique Random Forests	Jul 1, 2017	General Classificationimage-classification	CodeCode Available	0
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition	Jul 1, 2017	DecoderFace Recognition	—Unverified	0
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images	Jul 1, 2017	3D Hand Pose EstimationData Augmentation	—Unverified	0
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network	Jul 1, 2017	Activity RecognitionFace Alignment	—Unverified	0
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation	Jun 15, 2017	3D Human Pose EstimationPose Estimation	—Unverified	0
Recovering 6D Object Pose: A Review and Multi-modal Analysis	Jun 10, 2017	6D Pose Estimation6D Pose Estimation using RGB	—Unverified	0
Representation Learning by Rotating Your Faces	May 31, 2017	DecoderFace Recognition	—Unverified	0
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision	May 31, 2017	3D Human Pose EstimationImage-to-Image Translation	—Unverified	0
End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data	May 26, 2017	3D Pose EstimationData Augmentation	—Unverified	0
Generative Partition Networks for Multi-Person Pose Estimation	May 21, 2017	Human DetectionKeypoint Detection	CodeCode Available	1
A simple yet effective baseline for 3d human pose estimation	May 8, 2017	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	1
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image	May 8, 2017	2D Pose Estimation3D Human Pose Estimation	—Unverified	0
Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild	May 5, 2017	Face AlignmentFace Detection	—Unverified	0
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation	May 5, 2017	Pose Estimation	CodeCode Available	0
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera	May 3, 2017	3D Human Pose EstimationPose Estimation	CodeCode Available	0
Learning to Estimate 3D Hand Pose from Single RGB Images	May 3, 2017	3D Hand Pose EstimationHand Pose Estimation	CodeCode Available	0
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation	Apr 30, 2017	Pose Estimation	CodeCode Available	0
Unsupervised Learning of Depth and Ego-Motion from Video	Apr 25, 2017	Camera Pose EstimationDepth And Camera Motion	CodeCode Available	0
Learning to Estimate Pose by Watching Videos	Apr 13, 2017	Action RecognitionPose Estimation	CodeCode Available	0
2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation	Apr 13, 2017	2D Human Pose Estimation3D Human Pose Estimation	—Unverified	0
Forecasting Human Dynamics from Static Images	Apr 11, 2017	Human DynamicsPose Estimation	—Unverified	0
Quaternion Based Camera Pose Estimation From Matched Feature Points	Apr 9, 2017	Camera Pose EstimationPose Estimation	—Unverified	0
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis	Apr 9, 2017	Art AnalysisHand Pose Estimation	—Unverified	0
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach	Apr 8, 2017	2D Pose Estimation3D Human Pose Estimation	CodeCode Available	0
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations	Apr 8, 2017	3D Hand Pose EstimationAction Recognition	CodeCode Available	0
Deep Unsupervised Similarity Learning using Partially Ordered Sets	Apr 7, 2017	Pose Estimation	CodeCode Available	0

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All datasets COCO test-dev MPII Human Pose OCHuman Leeds Sports Poses CrowdPose COCO val2017 AIC COCO (Common Objects in Context)InLoc ITOP front-view J-HMDB MPII Single Person

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	yolopose	AP50	90.3	—	Unverified
2	ViTPose (ViTAE-G, ensemble)	AP	81.1	—	Unverified
3	ViTPose (ViTAE-G)	AP	80.9	—	Unverified
4	PoseBH-H	AP	79.5	—	Unverified
5	UDP-Pose-PSA(384x288)	AP	79.5	—	Unverified
6	4xRSN-50 (ensemble)	AP	79.2	—	Unverified
7	UDP-Pose-PSA(256x192)	AP	78.9	—	Unverified
8	CCM+	AP	78.9	—	Unverified
9	4xRSN-50	AP	78.6	—	Unverified
10	PCT (256x256)	AP	78.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PCT (swin-l, test set)	PCKh-0.5	94.3	—	Unverified
2	Soft-gated Skip Connections	PCKh-0.5	94.1	—	Unverified
3	Cascade Feature Aggregation	PCKh-0.5	93.9	—	Unverified
4	PCT (swin-b, test set)	PCKh-0.5	93.8	—	Unverified
5	TransPose	PCKh-0.5	93.5	—	Unverified
6	UniHCP (FT)	PCKh-0.5	93.2	—	Unverified
7	4xRSN-50	PCKh-0.5	93	—	Unverified
8	UniPose	PCKh-0.5	92.7	—	Unverified
9	MSPN	PCKh-0.5	92.6	—	Unverified
10	Spatial Context	PCKh-0.5	92.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViTPose (ViTAE-G, GT bounding boxes)	Test AP	93.3	—	Unverified
2	UniHCP (direct eval)	Test AP	87.4	—	Unverified
3	PoseBH-H	Test AP	87	—	Unverified
4	RTMPose(RTMPose-l, GT bounding boxes)	Test AP	80.3	—	Unverified
5	TransPose-H	Validation AP	62.3	—	Unverified
6	BBox-Mask-Pose 2x	Test AP	48.3	—	Unverified
7	BUCTD (CID-W32)	Test AP	47.2	—	Unverified
8	HQNet (ViT-L)	Test AP	45.6	—	Unverified
9	MaskPose-b	Test AP	45	—	Unverified
10	CID (HRNet-W48)	Test AP	45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OmniPose	PCK	99.5	—	Unverified
2	Soft-gated Skip Connections	PCK	94.8	—	Unverified
3	Residual Hourglass + ASR + AHO	PCK	94.5	—	Unverified
4	UniPose	PCK	94.5	—	Unverified
5	Chou et al. arXiv'17	PCK	94	—	Unverified
6	Pyramid Residual Modules (PRMs)	PCK	93.9	—	Unverified
7	Stacked hourglass + Inception-resnet	PCK	93.9	—	Unverified
8	Multi-Context Attention	PCK	92.6	—	Unverified
9	FPD	PCK	90.8	—	Unverified
10	Part heatmap regression (ResNet-152)	PCK	90.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BUCTD-W48 (w/cond. input from PETR, and generative sampling)	AP	78.5	—	Unverified
2	ViTPose-G	AP	78.3	—	Unverified
3	BUCTD-W48 (w/cond. input from PETR)	AP	76.7	—	Unverified
4	SwinV2-L 1K-MIM	AP	75.5	—	Unverified
5	SwinV2-B 1K-MIM	AP	74.9	—	Unverified
6	BUCTD-W48	AP	72.9	—	Unverified
7	OpenPifPaf	AP	70.5	—	Unverified
8	MIPNet (HRNet-W48)	AP	70	—	Unverified
9	KAPAO-L	AP	68.9	—	Unverified
10	KAPAO-M	AP	67.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CCNet (ViTPose-B_GT-bbox_256x192)	AP	78.1	—	Unverified
2	MogaNet-B (384x288)	AP	77.3	—	Unverified
3	ViTPose-B (Single-task_GT-bbox_256x192)	AP	77.3	—	Unverified
4	MogaNet-S (384x288)	AP	76.4	—	Unverified
5	Bias (HRNet_256x192)	AP	75.8	—	Unverified
6	ViTPose-B (Single-task_Det-bbox_256x192)	AP	75.8	—	Unverified
7	HRNet (256x192)	AP	75.3	—	Unverified
8	MogaNet-S (256x192)	AP	74.9	—	Unverified
9	MogaNet-T (256x192)	AP	73.2	—	Unverified
10	RLE (256x192)	AP	71.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hulk(Finetune, ViT-L)	AP	37.1	—	Unverified
2	Hulk(Finetune, ViT-B)	AP	35.6	—	Unverified
3	HRFormer (HRFomer-B)	AP	34.4	—	Unverified
4	UniHCP (finetune)	AP	33.6	—	Unverified
5	HRNet (HRNet-w48 )	AP	33.5	—	Unverified
6	HRNet (HRNet-w32)	AP	32.3	—	Unverified
7	HRFormer (HRFomer-S)	AP	31.6	—	Unverified
8	SimpleBaseline (ResNet-152)	AP	29.9	—	Unverified
9	SimpleBaseline (ResNet-101)	AP	29.4	—	Unverified
10	SimpleBaseline (ResNet-50)	AP	28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BUCTD (PETR, with generative sampling)	APL	83.7	—	Unverified
2	OmniPose (WASPv2)	AP	79.5	—	Unverified
3	MetaPrompt-SD	AP	79	—	Unverified
4	Hulk(Finetune, ViT-L)	AP	78.7	—	Unverified
5	BUCTD (PETR, with generative sampling)	AP	77.8	—	Unverified
6	Hulk(Finetune, ViT-B)	AP	77.5	—	Unverified
7	I²R-Net (1st stage:HRFormer-B)	AP	77.3	—	Unverified
8	PATH (Partial FT)	AP	77.1	—	Unverified
9	SOLIDER (swin-B)	AP	76.6	—	Unverified
10	PEFORMER-Xcit-dino-p8	AP	72.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GIM-DKM	DUC1-Acc@0.25m,10°	57.1	—	Unverified
2	GIM-LoFTR	DUC1-Acc@0.25m,10°	54.5	—	Unverified
3	GIM-SuperGlue	DUC1-Acc@0.25m,10°	53.5	—	Unverified
4	DKM	DUC1-Acc@0.25m,10°	51.5	—	Unverified
5	SuperGlue	DUC1-Acc@0.25m,10°	49	—	Unverified
6	LoFTR	DUC1-Acc@0.25m,10°	47.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AdaPose	Mean mAP	93.38	—	Unverified
2	DECA-D3	Mean mAP	88.75	—	Unverified
3	V2V-PoseNet	Mean mAP	88.74	—	Unverified
4	A2J	Mean mAP	88	—	Unverified
5	REN	Mean mAP	84.9	—	Unverified
6	Multi-task learning + viewpoint invariance	Mean mAP	77.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SimpleBaseline + HANet	Mean PCK@0.2	99.6	—	Unverified
2	DeciWatch	Mean PCK@0.2	99	—	Unverified
3	LSTM PM	Mean PCK@0.2	93.6	—	Unverified
4	CPM	Mean PCK@0.2	91.9	—	Unverified
5	UniTrack_i18	Mean PCK@0.2	80.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	4xRSN-50	PCKh@0.5	93	—	Unverified
2	Refine	PCKh@0.5	92.1	—	Unverified
3	EfficientPose IV	PCKh@0.5	91.2	—	Unverified
4	OpenPose	PCKh@0.5	88.8	—	Unverified
5	Adversarial Learning	PCKh@0.5	88.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OmniPose	Mean PCK@0.2	99.4	—	Unverified
2	UniPose-LSTM	Mean PCK@0.2	99.3	—	Unverified
3	LSTM PM	Mean PCK@0.2	97.7	—	Unverified
4	Thin-Slicing	Mean PCK@0.2	96.5	—	Unverified
5	Iqbal et al.	Mean PCK@0.2	81.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DP-RCNN-DeepLab (ResNet-101)	AP	68	—	Unverified