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 1176–1200 of 4228 papers

Title	Date	Tasks	Status	Score
Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation	Aug 28, 2024	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	5
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments	Jul 18, 2019	Autonomous Flight (Dense Forest)Autonomous Navigation	CodeCode Available	5
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	5
MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image	Jun 12, 2023	Hand Pose EstimationPose Estimation	CodeCode Available	5
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network	Jul 11, 2018	Human DetectionKeypoint Detection	CodeCode Available	5
Multi-Person Pose Estimation with Local Joint-to-Person Associations	Aug 30, 2016	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available	5
SMPR: Single-Stage Multi-Person Pose Regression	Jun 28, 2020	Multi-Person Pose EstimationPose Estimation	CodeCode Available	5
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition	Dec 15, 2019	3D Human Pose EstimationAction Recognition	CodeCode Available	5
Multi-person 3D pose estimation from unlabelled data	Dec 16, 2022	3D Pose EstimationPose Estimation	CodeCode Available	5
Multi-Context Attention for Human Pose Estimation	Feb 24, 2017	Pose Estimation	CodeCode Available	5
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions	Jan 21, 2023	GPUPose Estimation	CodeCode Available	5
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions	Oct 20, 2022	3D Human Pose EstimationDensity Estimation	CodeCode Available	5
Multi-camera Torso Pose Estimation using Graph Neural Networks	Jul 28, 2020	Graph Neural NetworkPose Estimation	CodeCode Available	5
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph	Jan 1, 2022	Camera Pose EstimationPose Estimation	CodeCode Available	5
Multi-body Depth and Camera Pose Estimation from Multiple Views	Jan 1, 2023	Camera Pose EstimationDepth Estimation	CodeCode Available	5
Multimodal Active Measurement for Human Mesh Recovery in Close Proximity	Oct 12, 2023	Human Mesh RecoveryPose Estimation	CodeCode Available	5
APR-Transformer: Initial Pose Estimation for Localization in Complex Environments through Absolute Pose Regression	May 14, 2025	ARCAutonomous Driving	CodeCode Available	5
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation	Aug 1, 2020	3D Human Pose EstimationPose Estimation	CodeCode Available	5
Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks	Apr 3, 2025	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	5
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation	Oct 31, 2018	3D Object DetectionCamera Pose Estimation	CodeCode Available	5
A Probabilistic Rotation Representation for Symmetric Shapes With an Efficiently Computable Bingham Loss Function	May 30, 2023	Pose Estimation	CodeCode Available	5
FlatteNet: A Simple Versatile Framework for Dense Pixelwise Prediction	Sep 22, 2019	Decoderobject-detection	CodeCode Available	5
A comprehensive framework for occluded human pose estimation	Dec 30, 2023	Data AugmentationPose Estimation	CodeCode Available	5
MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction	Nov 24, 2022	3D Human Pose EstimationHand Pose Estimation	CodeCode Available	5
Convolutional Pose Machines	Jan 30, 2016	3D Human Pose EstimationCar Pose Estimation	CodeCode Available	5

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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