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 3951–4000 of 4228 papers

Title	Date	Tasks	Status
Towards a Deep Learning Framework for Unconstrained Face Detection	Dec 16, 2016	Deep LearningFace Detection	—Unverified
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth	Dec 15, 2016	3D ReconstructionCamera Pose Estimation	CodeCode Available
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator	Dec 15, 2016	Human DetectionPose Estimation	—Unverified
Defining the Pose of any 3D Rigid Object and an Associated Distance	Dec 14, 2016	ObjectPose Estimation	—Unverified
A Video-Based Method for Objectively Rating Ataxia	Dec 13, 2016	Optical Flow EstimationPose Estimation	—Unverified
Deep Convolutional Poses for Human Interaction Recognition in Monocular Videos	Dec 13, 2016	Human Interaction RecognitionPose Estimation	—Unverified
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning	Dec 12, 2016	6D Pose Estimation using RGBPose Estimation	—Unverified
Global Hypothesis Generation for 6D Object Pose Estimation	Dec 7, 2016	6D Pose Estimation using RGBObject	—Unverified
Point Pair Feature based Object Detection for Random Bin Picking	Dec 5, 2016	3D Object Detectionobject-detection	—Unverified
ArtTrack: Articulated Multi-person Tracking in the Wild	Dec 5, 2016	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available
Online Localization and Prediction of Actions and Interactions	Dec 4, 2016	Pose EstimationPrediction	—Unverified
Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects	Dec 2, 2016	3D Pose EstimationPose Estimation	—Unverified
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses	Dec 1, 2016	Future predictionimage-classification	—Unverified
POSEidon: Face-from-Depth for Driver Pose Estimation	Nov 30, 2016	Face ReconstructionHead Pose Estimation	—Unverified
Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision	Nov 29, 2016	3D Human Pose EstimationDiversity	—Unverified
3D Human Pose Estimation from a Single Image via Distance Matrix Regression	Nov 28, 2016	3D Human Pose EstimationPose Estimation	—Unverified
PoseTrack: Joint Multi-Person Pose Estimation and Tracking	Nov 23, 2016	Multi-Person Pose EstimationMulti-Person Pose Estimation and Tracking	CodeCode Available
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation	Nov 17, 2016	3D Human Pose EstimationMonocular 3D Human Pose Estimation	CodeCode Available
Associative Embedding: End-to-End Learning for Joint Detection and Grouping	Nov 16, 2016	2D Human Pose EstimationInstance Segmentation	CodeCode Available
Constrained Low-Rank Learning Using Least Squares-Based Regularization	Nov 15, 2016	General ClassificationImage Categorization	—Unverified
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications	Nov 14, 2016	Combinatorial OptimizationMultiple Object Tracking	CodeCode Available
Deep Convolutional Neural Network for 6-DOF Image Localization	Nov 8, 2016	Pose Estimationregression	—Unverified
Minimax-optimal semi-supervised regression on unknown manifolds	Nov 7, 2016	Indoor LocalizationPose Estimation	—Unverified
An All-In-One Convolutional Neural Network for Face Analysis	Nov 3, 2016	Age EstimationAll	CodeCode Available
CRF-CNN: Modeling Structured Information in Human Pose Estimation	Nov 2, 2016	Pose Estimation	—Unverified
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM	Oct 26, 2016	Motion EstimationPose Estimation	CodeCode Available
3D Pictorial Structures Revisited: Multiple Human Pose Estimation	Oct 1, 2016	3D Multi-Person Pose Estimation3D Pose Estimation	—Unverified
A CNN Cascade for Landmark Guided Semantic Part Segmentation	Sep 30, 2016	Pose EstimationSegmentation	—Unverified
Training a Feedback Loop for Hand Pose Estimation	Sep 30, 2016	GPUHand Pose Estimation	—Unverified
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge	Sep 29, 2016	6D Pose Estimation6D Pose Estimation using RGBD	CodeCode Available
Pano2CAD: Room Layout From A Single Panorama Image	Sep 29, 2016	2D Object DetectionBayesian Inference	—Unverified
EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras	Sep 23, 2016	Pose EstimationVocal Bursts Valence Prediction	—Unverified
Real-time Human Pose Estimation from Video with Convolutional Neural Networks	Sep 23, 2016	Action RecognitionPose Estimation	—Unverified
Fast Single Shot Detection and Pose Estimation	Sep 19, 2016	GPUObject Tracking	—Unverified
Learning camera viewpoint using CNN to improve 3D body pose estimation	Sep 18, 2016	3D Pose EstimationPose Estimation	—Unverified
Pose from Action: Unsupervised Learning of Pose Features based on Motion	Sep 18, 2016	Action RecognitionAction Recognition In Videos	—Unverified
Deep Kinematic Pose Regression	Sep 17, 2016	3D Human Pose EstimationObject	—Unverified
Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups	Sep 13, 2016	Action RecognitionPose Estimation	—Unverified
Human pose estimation via Convolutional Part Heatmap Regression	Sep 6, 2016	Pose Estimationregression	CodeCode Available
Human Pose Estimation in Space and Time using 3D CNN	Aug 31, 2016	3D Human Pose EstimationPose Estimation	—Unverified
Multi-Person Pose Estimation with Local Joint-to-Person Associations	Aug 30, 2016	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation	Aug 24, 2016	Camera Pose EstimationPose Estimation	—Unverified
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning	Aug 13, 2016	Multi-Task LearningPose Estimation	—Unverified
Fashion Landmark Detection in the Wild	Aug 10, 2016	AttributePose Estimation	CodeCode Available
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information	Aug 10, 2016	2D Human Pose Estimation2D Pose Estimation	—Unverified
Camera Pose Estimation from Lines using Plücker Coordinates	Aug 9, 2016	Camera Pose EstimationPose Estimation	—Unverified
A Data-driven Approach for Human Pose Tracking Based on Spatio-temporal Pictorial Structure	Jul 31, 2016	Object TrackingPose Estimation	—Unverified
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests	Jul 21, 2016	Facial Expression RecognitionFacial Expression Recognition (FER)	—Unverified
Hashmod: A Hashing Method for Scalable 3D Object Detection	Jul 20, 2016	3D Object DetectionObject	—Unverified
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation	Jul 20, 2016	3D Object Detection6D Pose Estimation	—Unverified

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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