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 3551–3600 of 4228 papers

Title	Date	Tasks	Status	Hype
Fast Human Pose Estimation	Nov 13, 2018	Pose Estimation	CodeCode Available	0
Improved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras	Nov 13, 2018	Image RegistrationPose Estimation	—Unverified	0
OriNet: A Fully Convolutional Network for 3D Human Pose Estimation	Nov 12, 2018	3D Human Pose EstimationPose Estimation	CodeCode Available	0
Improving Multi-Person Pose Estimation using Label Correction	Nov 8, 2018	Missing LabelsMulti-Person Pose Estimation	—Unverified	0
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos	Nov 1, 2018	Face AlignmentPose Estimation	CodeCode Available	0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation	Oct 31, 2018	3D Object DetectionCamera Pose Estimation	CodeCode Available	0
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade	Oct 29, 2018	Camera Pose EstimationPose Estimation	CodeCode Available	0
HANDS18: Methods, Techniques and Applications for Hand Observation	Oct 25, 2018	Gesture RecognitionHand Gesture Recognition	—Unverified	0
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	Oct 25, 2018	Depth EstimationDepth Prediction	CodeCode Available	1
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking	Oct 19, 2018	Multi-Person Pose EstimationMulti-Person Pose Estimation and Tracking	—Unverified	0
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories	Oct 19, 2018	3D Pose EstimationObject	CodeCode Available	0
Visions of a generalized probability theory	Oct 18, 2018	Object TrackingPose Estimation	—Unverified	0
Pose Estimation for Objects with Rotational Symmetry	Oct 13, 2018	Pose Estimation	—Unverified	0
Equivalent Constraints for Two-View Geometry: Pose Solution/Pure Rotation Identification and 3D Reconstruction	Oct 13, 2018	3D ReconstructionPose Estimation	—Unverified	0
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation	Oct 10, 2018	Pose EstimationSemantic Segmentation	CodeCode Available	0
A Summary of the 4th International Workshop on Recovering 6D Object Pose	Oct 9, 2018	6D Pose Estimation using RGBObject	—Unverified	0
Domain Transfer for 3D Pose Estimation from Color Images without Manual Annotations	Oct 8, 2018	3D Hand Pose Estimation3D Pose Estimation	—Unverified	0
SFV: Reinforcement Learning of Physical Skills from Videos	Oct 8, 2018	Deep Reinforcement LearningPose Estimation	CodeCode Available	0
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks	Oct 8, 2018	6D Pose Estimation using RGBObject	—Unverified	0
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images	Oct 6, 2018	Hand Pose EstimationPose Estimation	—Unverified	0
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge	Oct 3, 2018	2D Pose Estimation3D Human Pose Estimation	—Unverified	0
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation	Oct 3, 2018	GPUobject-detection	—Unverified	0
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation	Oct 3, 2018	Depth EstimationDepth Prediction	—Unverified	0
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain	Oct 1, 2018	Point Cloud SegmentationPose Estimation	CodeCode Available	0
Camera Pose Estimation from Sequence of Calibrated Images	Sep 28, 2018	Camera Pose EstimationPose Estimation	—Unverified	0
Conscious Inference for Object Detection	Sep 27, 2018	2D Object Detection6D Pose Estimation using RGB	—Unverified	0
Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors On an Autonomous Racecar	Sep 27, 2018	3D Pose EstimationObject	—Unverified	0
Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images	Sep 27, 2018	Pose Estimation	—Unverified	0
RPNet: an End-to-End Network for Relative Camera Pose Estimation	Sep 22, 2018	Camera Pose EstimationPose Estimation	CodeCode Available	0
Focus On What's Important: Self-Attention Model for Human Pose Estimation	Sep 22, 2018	Pose EstimationSelf-Learning	—Unverified	0
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision	Sep 21, 2018	3D Human Pose EstimationPose Estimation	—Unverified	0
Pose Estimation for Non-Cooperative Spacecraft Rendezvous Using Convolutional Neural Networks	Sep 19, 2018	BenchmarkingImage Generation	—Unverified	0
3D Human Pose Estimation with Siamese Equivariant Embedding	Sep 19, 2018	3D Human Pose EstimationData Augmentation	CodeCode Available	0
SilhoNet: An RGB Method for 6D Object Pose Estimation	Sep 18, 2018	3D Pose Estimation6D Pose Estimation	CodeCode Available	0
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge	Sep 17, 2018	3D Human Pose EstimationPose Estimation	CodeCode Available	0
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks	Sep 16, 2018	Depth EstimationMonocular Visual Odometry	—Unverified	0
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation	Sep 13, 2018	3D Human Pose EstimationData Augmentation	CodeCode Available	0
PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections	Sep 10, 2018	3D Pose EstimationPose Estimation	—Unverified	0
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding	Sep 10, 2018	3D Object ReconstructionObject	CodeCode Available	0
Dense Pose Transfer	Sep 6, 2018	Pose EstimationPose Transfer	—Unverified	0
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization	Sep 4, 2018	Pose EstimationVisual Localization	CodeCode Available	0
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence	Sep 3, 2018	Pose EstimationViewpoint Estimation	CodeCode Available	0
Good Line Cutting: towards Accurate Pose Tracking of Line-assisted VO/VSLAM	Sep 1, 2018	Pose EstimationPose Tracking	—Unverified	0
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera	Sep 1, 2018	3D Pose EstimationPose Estimation	—Unverified	0
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation	Sep 1, 2018	Multi-Person Pose EstimationPose Estimation	—Unverified	0
3D Ego-Pose Estimation via Imitation Learning	Sep 1, 2018	Domain AdaptationImitation Learning	—Unverified	0
HBE: Hand Branch Ensemble Network for Real-time 3D Hand Pose Estimation	Sep 1, 2018	3D Hand Pose EstimationHand Pose Estimation	—Unverified	0
Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation	Sep 1, 2018	Pose EstimationTranslation	—Unverified	0
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation	Sep 1, 2018	Human ParsingMulti-Task Learning	—Unverified	0
Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template	Sep 1, 2018	Motion EstimationPose Estimation	—Unverified	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