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 3901–3950 of 4228 papers

Title	Date	Tasks	Status	Hype
Hand3D: Hand Pose Estimation using 3D Neural Network	Apr 7, 2017	3D Hand Pose EstimationHand Pose Estimation	—Unverified	0
Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor	Apr 7, 2017	Hand Pose EstimationPose Estimation	—Unverified	0
A Comparison of Directional Distances for Hand Pose Estimation	Apr 3, 2017	BenchmarkingHand Pose Estimation	—Unverified	0
Compositional Human Pose Regression	Apr 1, 2017	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	0
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos	Mar 31, 2017	Pose Estimation	—Unverified	0
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth	Mar 31, 2017	3D Object Detection6D Pose Estimation using RGB	CodeCode Available	0
Concurrent Segmentation and Localization for Tracking of Surgical Instruments	Mar 30, 2017	Pose EstimationPosition	—Unverified	0
Deep Residual Learning for Instrument Segmentation in Robotic Surgery	Mar 24, 2017	Pose EstimationSegmentation	CodeCode Available	0
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs	Mar 23, 2017	3D Human Pose EstimationPose Estimation	—Unverified	0
Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image	Mar 22, 2017	Pose Estimationvehicle detection	—Unverified	0
Mask R-CNN	Mar 20, 2017	3D Instance SegmentationHuman Part Segmentation	CodeCode Available	1
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences	Mar 15, 2017	CPUPose Estimation	—Unverified	0
6-DoF Object Pose from Semantic Keypoints	Mar 14, 2017	Keypoint DetectionObject	CodeCode Available	0
Detailed, accurate, human shape estimation from clothed 3D scan sequences	Mar 13, 2017	Pose EstimationVirtual Try-on	CodeCode Available	0
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images	Mar 11, 2017	3D Object DetectionClustering	—Unverified	0
Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data	Mar 11, 2017	Emotion RecognitionFacial Expression Recognition	CodeCode Available	0
From Depth Data to Head Pose Estimation: a Siamese approach	Mar 10, 2017	Driver Attention MonitoringHead Pose Estimation	—Unverified	0
A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation	Mar 9, 2017	Objectobject-detection	CodeCode Available	0
Deep Head Pose Estimation from Depth Data for In-car Automotive Applications	Mar 6, 2017	Head Pose EstimationPose Estimation	—Unverified	0
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation	Mar 5, 2017	Object RecognitionPoint Cloud Registration	CodeCode Available	0
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources	Mar 2, 2017	BinarizationFace Alignment	CodeCode Available	0
Multi-Context Attention for Human Pose Estimation	Feb 24, 2017	Pose Estimation	CodeCode Available	0
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors	Feb 16, 2017	Face AlignmentHead Pose Estimation	—Unverified	0
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation	Feb 11, 2017	3D Hand Pose EstimationCPU	—Unverified	0
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation	Feb 8, 2017	Hand Pose EstimationPose Estimation	—Unverified	0
Relative Camera Pose Estimation Using Convolutional Neural Networks	Feb 5, 2017	Camera Pose EstimationGeneral Classification	CodeCode Available	0
Pose Invariant Embedding for Deep Person Re-identification	Jan 26, 2017	Person Re-IdentificationPose Estimation	—Unverified	0
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms	Jan 25, 2017	3D Human Pose EstimationMulti-view 3D Human Pose Estimation	CodeCode Available	0
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects	Jan 19, 2017	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available	1
Computing Egomotion with Local Loop Closures for Egocentric Videos	Jan 17, 2017	Camera Pose EstimationDepth Estimation	—Unverified	0
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications	Jan 11, 2017	Hand Pose EstimationPose Estimation	—Unverified	0
Group Visual Sentiment Analysis	Jan 7, 2017	ClusteringEmotion Classification	—Unverified	0
Towards Accurate Multi-person Pose Estimation in the Wild	Jan 6, 2017	Human DetectionKeypoint Detection	—Unverified	0
Overlapping Cover Local Regression Machines	Jan 5, 2017	Gaussian ProcessesGPR	—Unverified	0
Learning from Synthetic Humans	Jan 5, 2017	2D Human Pose Estimation3D Human Pose Estimation	CodeCode Available	0
ConvNets with Smooth Adaptive Activation Functions for Regression	Jan 1, 2017	Age And Gender ClassificationPose Estimation	—Unverified	0
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image	Jan 1, 2017	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	0
EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras (Extended Abstract)	Dec 31, 2016	Pose Estimation	—Unverified	0
Learning from Simulated and Unsupervised Images through Adversarial Training	Dec 22, 2016	Domain AdaptationGaze Estimation	CodeCode Available	1
3D Human Pose Estimation = 2D Pose Estimation + Matching	Dec 20, 2016	2D Pose Estimation3D Human Pose Estimation	—Unverified	0
Towards a Deep Learning Framework for Unconstrained Face Detection	Dec 16, 2016	Deep LearningFace Detection	—Unverified	0
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator	Dec 15, 2016	Human DetectionPose Estimation	—Unverified	0
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth	Dec 15, 2016	3D ReconstructionCamera Pose Estimation	CodeCode Available	0
Defining the Pose of any 3D Rigid Object and an Associated Distance	Dec 14, 2016	ObjectPose Estimation	—Unverified	0
Deep Convolutional Poses for Human Interaction Recognition in Monocular Videos	Dec 13, 2016	Human Interaction RecognitionPose Estimation	—Unverified	0
A Video-Based Method for Objectively Rating Ataxia	Dec 13, 2016	Optical Flow EstimationPose Estimation	—Unverified	0
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning	Dec 12, 2016	6D Pose Estimation using RGBPose Estimation	—Unverified	0
Global Hypothesis Generation for 6D Object Pose Estimation	Dec 7, 2016	6D Pose Estimation using RGBObject	—Unverified	0
Point Pair Feature based Object Detection for Random Bin Picking	Dec 5, 2016	3D Object Detectionobject-detection	—Unverified	0
ArtTrack: Articulated Multi-person Tracking in the Wild	Dec 5, 2016	Keypoint DetectionMulti-Person 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