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
ALCN: Meta-Learning for Contrast Normalization Applied to Robust 3D Pose Estimation	Aug 31, 2017	3D Pose EstimationMeta-Learning	—Unverified
A Greedy Part Assignment Algorithm for Real-time Multi-person 2D Pose Estimation	Aug 30, 2017	2D Pose EstimationPose Estimation	—Unverified
Pix2face: Direct 3D Face Model Estimation	Aug 29, 2017	Face Modelmodel	—Unverified
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation	Aug 28, 2017	3D Hand Pose EstimationData Augmentation	CodeCode Available
Pose Estimation using Local Structure-Specific Shape and Appearance Context	Aug 23, 2017	Pose Estimation	—Unverified
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots	Aug 22, 2017	DiagnosticMonocular Visual Odometry	—Unverified
3D Pose Regression using Convolutional Neural Networks	Aug 18, 2017	3D Pose EstimationAutonomous Navigation	—Unverified
Robust Registration and Geometry Estimation from Unstructured Facial Scans	Aug 17, 2017	Pose Estimation	—Unverified
Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container	Aug 15, 2017	Face DetectionFace Recognition	CodeCode Available
Mass Displacement Networks	Aug 12, 2017	Pose Estimation	—Unverified
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation	Aug 11, 2017	Hand Pose EstimationPose Estimation	CodeCode Available
Joint Multi-Person Pose Estimation and Semantic Part Segmentation	Aug 10, 2017	Human DetectionMulti-Person Pose Estimation	—Unverified
MonoPerfCap: Human Performance Capture from Monocular Video	Aug 7, 2017	Monocular ReconstructionPose Estimation	—Unverified
Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos	Aug 7, 2017	Pose EstimationRetrieval	—Unverified
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization	Aug 6, 2017	Camera Pose EstimationObject Tracking	—Unverified
Learning Feature Pyramids for Human Pose Estimation	Aug 3, 2017	Pose Estimation	CodeCode Available
Long-term 3D Localization and Pose from Semantic Labellings	Aug 1, 2017	Camera Pose EstimationPose Estimation	—Unverified
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network	Jul 31, 2017	Camera RelocalizationPose Estimation	—Unverified
Recurrent 3D Pose Sequence Machines	Jul 31, 2017	3D Human Pose Estimation3D Pose Estimation	—Unverified
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions	Jul 28, 2017	Autonomous VehiclesBenchmarking	CodeCode Available
Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation	Jul 25, 2017	Deep LearningPose Estimation	CodeCode Available
Towards Accurate Markerless Human Shape and Pose Estimation over Time	Jul 24, 2017	Pose Estimation	—Unverified
Towards Good Practices for Deep 3D Hand Pose Estimation	Jul 23, 2017	3D Hand Pose EstimationData Augmentation	—Unverified
STag: A Stable Fiducial Marker System	Jul 19, 2017	Homography EstimationPose Estimation	CodeCode Available
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation	Jul 17, 2017	BenchmarkingPose Estimation	—Unverified
Houdini: Fooling Deep Structured Prediction Models	Jul 17, 2017	General ClassificationPose Estimation	—Unverified
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes	Jul 15, 2017	3D ReconstructionObject	CodeCode Available
Discriminative Optimization: Theory and Applications to Computer Vision Problems	Jul 13, 2017	Camera Pose EstimationComputational Efficiency	—Unverified
Large-scale Multiview 3D Hand Pose Dataset	Jul 12, 2017	Deep LearningHand Pose Estimation	—Unverified
Self Adversarial Training for Human Pose Estimation	Jul 8, 2017	Pose Estimation	CodeCode Available
The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation	Jul 7, 2017	3D Hand Pose EstimationHand Pose Estimation	—Unverified
Computer methods for 3D motion tracking in real-time	Jul 5, 2017	GPUPose Estimation	—Unverified
LCR-Net: Localization-Classification-Regression for Human Pose	Jul 1, 2017	3D Human Pose Estimation3D Multi-Person Pose Estimation (absolute)	—Unverified
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images	Jul 1, 2017	3D Hand Pose EstimationData Augmentation	—Unverified
Robust Visual Tracking Using Oblique Random Forests	Jul 1, 2017	General Classificationimage-classification	CodeCode Available
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios	Jul 1, 2017	Pose EstimationPosition	—Unverified
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition	Jul 1, 2017	DecoderFace Recognition	—Unverified
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network	Jul 1, 2017	Activity RecognitionFace Alignment	—Unverified
Soft-Margin Mixture of Regressions	Jul 1, 2017	Age EstimationCrowd Counting	—Unverified
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking	Jul 1, 2017	Face ModelPose Estimation	—Unverified
Multiple People Tracking by Lifted Multicut and Person Re-Identification	Jul 1, 2017	Multiple People TrackingPerson Re-Identification	—Unverified
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation	Jul 1, 2017	Head Pose EstimationPose Estimation	—Unverified
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications	Jul 1, 2017	Combinatorial OptimizationMultiple Object Tracking	—Unverified
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation	Jun 15, 2017	3D Human Pose EstimationPose Estimation	—Unverified
Recovering 6D Object Pose: A Review and Multi-modal Analysis	Jun 10, 2017	6D Pose Estimation6D Pose Estimation using RGB	—Unverified
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
Representation Learning by Rotating Your Faces	May 31, 2017	DecoderFace Recognition	—Unverified
End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data	May 26, 2017	3D Pose EstimationData Augmentation	—Unverified
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image	May 8, 2017	2D Pose Estimation3D Human Pose Estimation	—Unverified
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation	May 5, 2017	Pose Estimation	CodeCode Available

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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