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

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Showing 3251–3300 of 4228 papers

Title	Date	Tasks	Status
Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph	Oct 29, 2019	Data AugmentationDecoder	—Unverified
Towards Good Practices for Multi-Person Pose Estimation	Oct 28, 2019	Multi-Person Pose EstimationPose Estimation	—Unverified
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation	Oct 26, 2019	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified
PoseLifter: Absolute 3D human pose lifting network from a single noisy 2D human pose	Oct 26, 2019	3D Human Pose EstimationPose Estimation	CodeCode Available
TexturePose: Supervising Human Mesh Estimation with Texture Consistency	Oct 24, 2019	Pose EstimationWeakly-supervised 3D Human Pose Estimation	CodeCode Available
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction	Oct 23, 2019	6D Pose Estimation using RGBObject	—Unverified
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints	Oct 23, 2019	6D Pose Estimation6D Pose Estimation using RGBD	CodeCode Available
Fast and Automatic Periacetabular Osteotomy Fragment Pose Estimation Using Intraoperatively Implanted Fiducials and Single-View Fluoroscopy	Oct 22, 2019	Pose Estimation	—Unverified
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning	Oct 19, 2019	Deep Reinforcement LearningObject	—Unverified
Fast Non-Local Neural Networks with Spectral Residual Learning	Oct 15, 2019	Pose EstimationVideo Classification	CodeCode Available
Multi-Stage HRNet: Multiple Stage High-Resolution Network for Human Pose Estimation	Oct 14, 2019	Action RecognitionMulti-Person Pose Estimation	—Unverified
Distribution-Aware Coordinate Representation for Human Pose Estimation	Oct 14, 2019	Keypoint DetectionMulti-Person Pose Estimation	CodeCode Available
Regularized Sparse Gaussian Processes	Oct 13, 2019	Facial Expression Recognition (FER)Gaussian Processes	—Unverified
FetusMap: Fetal Pose Estimation in 3D Ultrasound	Oct 11, 2019	3D Pose EstimationGPU	—Unverified
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects	Oct 11, 2019	6D Pose EstimationPose Estimation	—Unverified
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects	Oct 10, 2019	3D Pose EstimationMotion Estimation	CodeCode Available
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation	Oct 9, 2019	2D Pose EstimationAutonomous Vehicles	CodeCode Available
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks	Oct 8, 2019	Autonomous DrivingPose Estimation	—Unverified
Metric Pose Estimation for Human-Machine Interaction Using Monocular Vision	Oct 8, 2019	Pose Estimation	—Unverified
Low-cost LIDAR based Vehicle Pose Estimation and Tracking	Oct 3, 2019	Pose EstimationSegmentation	—Unverified
LIT: Light-field Inference of Transparency for Refractive Object Localization	Oct 2, 2019	ObjectObject Localization	—Unverified
Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks	Oct 1, 2019	3D Hand Pose Estimation3D Human Pose Estimation	CodeCode Available
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos	Oct 1, 2019	3D Human Pose EstimationPose Estimation	—Unverified
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM	Oct 1, 2019	Camera RelocalizationPose Estimation	—Unverified
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis	Oct 1, 2019	AttributeFace Generation	—Unverified
SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning	Oct 1, 2019	3D Hand Pose EstimationDecoder	—Unverified
TagSLAM: Robust SLAM with Fiducial Markers	Oct 1, 2019	Camera CalibrationPose Estimation	—Unverified
Polarimetric Relative Pose Estimation	Oct 1, 2019	Pose Estimation	—Unverified
Revisiting Radial Distortion Absolute Pose	Oct 1, 2019	Pose Estimation	—Unverified
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos	Oct 1, 2019	Autonomous DrivingCamera Pose Estimation	—Unverified
Optimizing Network Structure for 3D Human Pose Estimation	Oct 1, 2019	3D Human Pose EstimationPose Estimation	—Unverified
Privacy Preserving Image Queries for Camera Localization	Oct 1, 2019	Camera LocalizationCamera Pose Estimation	—Unverified
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts	Oct 1, 2019	3D Human Pose Estimation3D Pose Estimation	—Unverified
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces	Oct 1, 2019	Domain AdaptationHead Pose Estimation	—Unverified
AlignedReID++: Dynamically matching local information for person re-identification	Oct 1, 2019	Human DetectionPerson Re-Identification	CodeCode Available
Aligning Latent Spaces for 3D Hand Pose Estimation	Oct 1, 2019	3D Hand Pose EstimationHand Pose Estimation	—Unverified
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging	Oct 1, 2019	Camera Pose EstimationMotion Compensation	—Unverified
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation	Oct 1, 2019	6D Pose Estimation using RGBPose Estimation	—Unverified
Occlusion-Aware Networks for 3D Human Pose Estimation in Video	Oct 1, 2019	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos	Oct 1, 2019	Action RecognitionAutonomous Driving	—Unverified
ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System	Sep 30, 2019	Monocular Visual OdometryPose Estimation	—Unverified
Single-Network Whole-Body Pose Estimation	Sep 30, 2019	Multi-Task LearningPose Estimation	CodeCode Available
Robust Data Association for Object-level Semantic SLAM	Sep 30, 2019	Objectobject-detection	—Unverified
Exploring Pose Priors for Human Pose Estimation with Joint Angle Representations	Sep 27, 2019	Pose Estimation	—Unverified
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints	Sep 26, 2019	Pose Estimation	—Unverified
Semi-supervised Pose Estimation with Geometric Latent Representations	Sep 25, 2019	ObjectPose Estimation	—Unverified
6D Pose Estimation with Correlation Fusion	Sep 24, 2019	6D Pose Estimation6D Pose Estimation using RGB	—Unverified
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty	Sep 24, 2019	General Classificationimage-classification	CodeCode Available
Pretraining boosts out-of-domain robustness for pose estimation	Sep 24, 2019	Animal Pose EstimationBenchmarking	—Unverified
Multi-Person 3D Human Pose Estimation from Monocular Images	Sep 24, 2019	3D Human Pose Estimation3D Multi-Person Human 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