SOTAVerified

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 751–800 of 4228 papers

TitleStatusHype
Anatomy-aware 3D Human Pose Estimation with Bone-based Pose DecompositionCode1
3D/2D Registration of Angiograms using Silhouette-based Differentiable RenderingCode1
Anatomy-guided domain adaptation for 3D in-bed human pose estimationCode1
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point CloudsCode1
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPSCode1
PASS: An ImageNet replacement for self-supervised pretraining without humansCode1
An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDARCode1
DeepHuman: 3D Human Reconstruction from a Single ImageCode1
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic GraspingCode1
PE-former: Pose Estimation TransformerCode1
Learning Equivariant RepresentationsCode1
Learning Local-Global Contextual Adaptation for Multi-Person Pose EstimationCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human PoseCode1
Lifting Monocular Events to 3D Human PosesCode1
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion CaptureCode1
CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionCode1
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from VideoCode1
Coherent Reconstruction of Multiple Humans from a Single ImageCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
Collaborative Dense SLAMCode1
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait RecognitionCode1
CPPF: Towards Robust Category-Level 9D Pose Estimation in the WildCode1
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in VideoCode1
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose EstimatorCode1
LAMP: Leveraging Language Prompts for Multi-person Pose EstimationCode1
Coupled Iterative Refinement for 6D Multi-Object Pose EstimationCode1
Generalizable Single-view Object Pose Estimation by Two-side Generating and MatchingCode1
Animatable Neural Radiance Fields from Monocular RGB VideosCode1
Generating 3D People in Scenes without PeopleCode1
3D Human Pose Estimation with Spatial and Temporal TransformersCode1
Generative 3D Part Assembly via Dynamic Graph LearningCode1
CPF: Learning a Contact Potential Field to Model the Hand-Object InteractionCode1
Geometric Estimation via Robust Subspace RecoveryCode1
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound VideosCode1
landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D ImagesCode1
Application of Ghost-DeblurGAN to Fiducial Marker DetectionCode1
Comparative Evaluation of 3D Reconstruction Methods for Object Pose EstimationCode1
KVN: Keypoints Voting Network with Differentiable RANSAC for Stereo Pose EstimationCode1
PCKRF: Point Cloud Completion and Keypoint Refinement With Fusion Data for 6D Pose EstimationCode1
CosyPose: Consistent multi-view multi-object 6D pose estimationCode1
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular VideoCode1
3D Human Pose Estimation With Spatio-Temporal Criss-Cross AttentionCode1
LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited EnvironmentsCode1
Compressed Volumetric Heatmaps for Multi-Person 3D Pose EstimationCode1
LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose EstimationCode1
CorrI2P: Deep Image-to-Point Cloud Registration via Dense CorrespondenceCode1
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose EstimationCode1
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All datasetsCOCO test-devMPII Human PoseOCHumanLeeds Sports PosesCrowdPoseCOCO val2017AICCOCO (Common Objects in Context)InLocITOP front-viewJ-HMDBMPII Single Person

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1yoloposeAP5090.3—Unverified
2ViTPose (ViTAE-G, ensemble)AP81.1—Unverified
3ViTPose (ViTAE-G)AP80.9—Unverified
4PoseBH-HAP79.5—Unverified
5UDP-Pose-PSA(384x288)AP79.5—Unverified
64xRSN-50 (ensemble)AP79.2—Unverified
7UDP-Pose-PSA(256x192)AP78.9—Unverified
8CCM+AP78.9—Unverified
94xRSN-50AP78.6—Unverified
10PCT (256x256)AP78.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PCT (swin-l, test set)PCKh-0.594.3—Unverified
2Soft-gated Skip ConnectionsPCKh-0.594.1—Unverified
3Cascade Feature AggregationPCKh-0.593.9—Unverified
4PCT (swin-b, test set)PCKh-0.593.8—Unverified
5TransPosePCKh-0.593.5—Unverified
6UniHCP (FT)PCKh-0.593.2—Unverified
74xRSN-50PCKh-0.593—Unverified
8UniPosePCKh-0.592.7—Unverified
9MSPNPCKh-0.592.6—Unverified
10Spatial ContextPCKh-0.592.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ViTPose (ViTAE-G, GT bounding boxes)Test AP93.3—Unverified
2UniHCP (direct eval)Test AP87.4—Unverified
3PoseBH-HTest AP87—Unverified
4RTMPose(RTMPose-l, GT bounding boxes)Test AP80.3—Unverified
5TransPose-HValidation AP62.3—Unverified
6BBox-Mask-Pose 2xTest AP48.3—Unverified
7BUCTD (CID-W32)Test AP47.2—Unverified
8HQNet (ViT-L)Test AP45.6—Unverified
9MaskPose-bTest AP45—Unverified
10CID (HRNet-W48)Test AP45—Unverified
#ModelMetricClaimedVerifiedStatus
1OmniPosePCK99.5—Unverified
2Soft-gated Skip ConnectionsPCK94.8—Unverified
3Residual Hourglass + ASR + AHOPCK94.5—Unverified
4UniPosePCK94.5—Unverified
5Chou et al. arXiv'17PCK94—Unverified
6Pyramid Residual Modules (PRMs)PCK93.9—Unverified
7Stacked hourglass + Inception-resnetPCK93.9—Unverified
8Multi-Context AttentionPCK92.6—Unverified
9FPDPCK90.8—Unverified
10Part heatmap regression (ResNet-152)PCK90.7—Unverified
#ModelMetricClaimedVerifiedStatus
1BUCTD-W48 (w/cond. input from PETR, and generative sampling)AP78.5—Unverified
2ViTPose-GAP78.3—Unverified
3BUCTD-W48 (w/cond. input from PETR)AP76.7—Unverified
4SwinV2-L 1K-MIMAP75.5—Unverified
5SwinV2-B 1K-MIMAP74.9—Unverified
6BUCTD-W48AP72.9—Unverified
7OpenPifPafAP70.5—Unverified
8MIPNet (HRNet-W48)AP70—Unverified
9KAPAO-LAP68.9—Unverified
10KAPAO-MAP67.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CCNet (ViTPose-B_GT-bbox_256x192)AP78.1—Unverified
2MogaNet-B (384x288)AP77.3—Unverified
3ViTPose-B (Single-task_GT-bbox_256x192)AP77.3—Unverified
4MogaNet-S (384x288)AP76.4—Unverified
5Bias (HRNet_256x192)AP75.8—Unverified
6ViTPose-B (Single-task_Det-bbox_256x192)AP75.8—Unverified
7HRNet (256x192)AP75.3—Unverified
8MogaNet-S (256x192)AP74.9—Unverified
9MogaNet-T (256x192)AP73.2—Unverified
10RLE (256x192)AP71.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Hulk(Finetune, ViT-L)AP37.1—Unverified
2Hulk(Finetune, ViT-B)AP35.6—Unverified
3HRFormer (HRFomer-B)AP34.4—Unverified
4UniHCP (finetune)AP33.6—Unverified
5HRNet (HRNet-w48 )AP33.5—Unverified
6HRNet (HRNet-w32)AP32.3—Unverified
7HRFormer (HRFomer-S)AP31.6—Unverified
8SimpleBaseline (ResNet-152)AP29.9—Unverified
9SimpleBaseline (ResNet-101)AP29.4—Unverified
10SimpleBaseline (ResNet-50)AP28—Unverified
#ModelMetricClaimedVerifiedStatus
1BUCTD (PETR, with generative sampling)APL83.7—Unverified
2OmniPose (WASPv2)AP79.5—Unverified
3MetaPrompt-SDAP79—Unverified
4Hulk(Finetune, ViT-L)AP78.7—Unverified
5BUCTD (PETR, with generative sampling)AP77.8—Unverified
6Hulk(Finetune, ViT-B)AP77.5—Unverified
7I²R-Net (1st stage:HRFormer-B)AP77.3—Unverified
8PATH (Partial FT)AP77.1—Unverified
9SOLIDER (swin-B)AP76.6—Unverified
10PEFORMER-Xcit-dino-p8AP72.6—Unverified
#ModelMetricClaimedVerifiedStatus
1GIM-DKMDUC1-Acc@0.25m,10°57.1—Unverified
2GIM-LoFTRDUC1-Acc@0.25m,10°54.5—Unverified
3GIM-SuperGlueDUC1-Acc@0.25m,10°53.5—Unverified
4DKMDUC1-Acc@0.25m,10°51.5—Unverified
5SuperGlueDUC1-Acc@0.25m,10°49—Unverified
6LoFTRDUC1-Acc@0.25m,10°47.5—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaPoseMean mAP93.38—Unverified
2DECA-D3Mean mAP88.75—Unverified
3V2V-PoseNetMean mAP88.74—Unverified
4A2JMean mAP88—Unverified
5RENMean mAP84.9—Unverified
6Multi-task learning + viewpoint invarianceMean mAP77.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SimpleBaseline + HANetMean PCK@0.299.6—Unverified
2DeciWatchMean PCK@0.299—Unverified
3LSTM PMMean PCK@0.293.6—Unverified
4CPMMean PCK@0.291.9—Unverified
5UniTrack_i18Mean PCK@0.280.5—Unverified
#ModelMetricClaimedVerifiedStatus
14xRSN-50PCKh@0.593—Unverified
2RefinePCKh@0.592.1—Unverified
3EfficientPose IVPCKh@0.591.2—Unverified
4OpenPosePCKh@0.588.8—Unverified
5Adversarial LearningPCKh@0.588.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OmniPoseMean PCK@0.299.4—Unverified
2UniPose-LSTMMean PCK@0.299.3—Unverified
3LSTM PMMean PCK@0.297.7—Unverified
4Thin-SlicingMean PCK@0.296.5—Unverified
5Iqbal et al.Mean PCK@0.281.1—Unverified
#ModelMetricClaimedVerifiedStatus
1DP-RCNN-DeepLab (ResNet-101)AP68—Unverified