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 3601–3650 of 4228 papers

Title	Date	Tasks	Status
FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks	Jul 15, 2019	Hand Pose EstimationPose Estimation	CodeCode Available
Robust Optimization for Deep Regression	May 25, 2015	Age Estimationobject-detection	CodeCode Available
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation	Apr 3, 2018	3D geometry3D Human Pose Estimation	CodeCode Available
Fast Underwater Image Enhancement for Improved Visual Perception	Mar 23, 2019	Generative Adversarial NetworkImage Enhancement	CodeCode Available
Automatic Assessment of Infant Face and Upper-Body Symmetry as Early Signs of Torticollis	Oct 26, 2022	Pose Estimation	CodeCode Available
Cross View Fusion for 3D Human Pose Estimation	Sep 3, 2019	2D Pose Estimation3D Human Pose Estimation	CodeCode Available
AEPnP: A Less-constrained EPnP Solver for Pose Estimation with Anisotropic Scaling	Oct 15, 2023	Camera Pose EstimationObject	CodeCode Available
Cross-modal Deep Variational Hand Pose Estimation	Mar 30, 2018	Hand Pose EstimationPose Estimation	CodeCode Available
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World	Apr 16, 2025	Depth EstimationMonocular Depth Estimation	CodeCode Available
Numerical Coordinate Regression with Convolutional Neural Networks	Jan 23, 2018	Pose Estimationregression	CodeCode Available
Robust Two-View Geometry Estimation with Implicit Differentiation	Oct 23, 2024	Camera Pose EstimationPose Estimation	CodeCode Available
Representation Recycling for Streaming Video Analysis	Apr 28, 2022	object-detectionObject Detection	CodeCode Available
NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye Images	Feb 28, 2024	3D Human Pose EstimationDataset Generation	CodeCode Available
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks	Jun 1, 2019	3D Car Instance Understanding3D Object Reconstruction From A Single Image	CodeCode Available
Robust Visual Tracking Using Oblique Random Forests	Jul 1, 2017	General Classificationimage-classification	CodeCode Available
Fast Non-Local Neural Networks with Spectral Residual Learning	Oct 15, 2019	Pose EstimationVideo Classification	CodeCode Available
Nose, eyes and ears: Head pose estimation by locating facial keypoints	Dec 3, 2018	Head Pose EstimationPose Estimation	CodeCode Available
Towards Viewpoint Invariant 3D Human Pose Estimation	Mar 23, 2016	3D Human Pose EstimationMulti-Task Learning	CodeCode Available
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision	Aug 20, 2023	3D Pose EstimationHand Pose Estimation	CodeCode Available
PoseLifter: Absolute 3D human pose lifting network from a single noisy 2D human pose	Oct 26, 2019	3D Human Pose EstimationPose Estimation	CodeCode Available
Automatic Analysis of Human Body Representations in Western Art	Oct 17, 2022	Pose Estimation	CodeCode Available
Fast Human Pose Estimation	Nov 13, 2018	Pose Estimation	CodeCode Available
Adversarial samples for deep monocular 6D object pose estimation	Mar 1, 2022	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers	Oct 2, 2022	Pose EstimationPose Tracking	CodeCode Available
Normalized Diversification	Apr 7, 2019	Conditional Image GenerationDiversity	CodeCode Available
Structured Context Enhancement Network for Mouse Pose Estimation	Dec 1, 2020	Animal Pose EstimationPose Estimation	CodeCode Available
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving	Feb 15, 2021	Autonomous DrivingDepth Estimation	CodeCode Available
Neural Scene Decomposition for Multi-Person Motion Capture	Mar 13, 2019	3D geometry3D Pose Estimation	CodeCode Available
Fashion Landmark Detection in the Wild	Aug 10, 2016	AttributePose Estimation	CodeCode Available
Unsupervised Learning of 3D Scene Flow from Monocular Camera	Jun 8, 2022	Camera Pose EstimationDepth Estimation	CodeCode Available
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation	Aug 17, 2018	3D Human Pose EstimationMonocular 3D Human Pose Estimation	CodeCode Available
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints	Mar 20, 2016	3D Object ClassificationObject	CodeCode Available
ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera Systems	Feb 28, 2019	Motion EstimationPose Estimation	CodeCode Available
RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos	Oct 22, 2017	Action RecognitionAction Recognition In Videos	CodeCode Available
RPNet: an End-to-End Network for Relative Camera Pose Estimation	Sep 22, 2018	Camera Pose EstimationPose Estimation	CodeCode Available
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos	Jul 5, 2024	3D Pose EstimationPose Estimation	CodeCode Available
NeRF-Supervised Feature Point Detection and Description	Mar 13, 2024	Homography EstimationNeRF	CodeCode Available
One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment	Dec 12, 2019	3D ReconstructionAll	CodeCode Available
Unsupervised Learning of Depth and Ego-Motion from Video	Apr 25, 2017	Camera Pose EstimationDepth And Camera Motion	CodeCode Available
CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation	Jun 1, 2019	Hand Pose EstimationPose Estimation	CodeCode Available
NAPA: Neural Art Human Pose Amplifier	Dec 15, 2020	Pose Estimationregression	CodeCode Available
NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation	Jan 27, 2025	3D Human Pose EstimationContrastive Learning	CodeCode Available
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection	Apr 16, 2016	2D Object DetectionGeneral Classification	CodeCode Available
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification	Jan 11, 2022	Auxiliary LearningKnowledge Distillation	CodeCode Available
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation	Jul 11, 2019	Domain AdaptationHuman Part Segmentation	CodeCode Available
Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects	Nov 25, 2019	6D Pose EstimationDeblurring	CodeCode Available
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation	Aug 24, 2018	3D Human Pose Estimation3D Pose Estimation	CodeCode Available
Cross-Domain 3D Equivariant Image Embeddings	Dec 6, 2018	3D Shape ClassificationNovel View Synthesis	CodeCode Available
FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation	Sep 25, 2024	6D Pose EstimationPose Estimation	CodeCode Available
S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR	Feb 22, 2024	Graph Generationobject-detection	CodeCode Available

Show:10 25 50

← PrevPage 73 of 85Next →

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