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

Showing 13511400 of 4228 papers

TitleStatusHype
A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System0
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle AdjustmentCode2
MIMIC: Masked Image Modeling with Image CorrespondencesCode1
Automatic Labeling of Parkinson’s Disease Gait Videos with Weak SupervisionCode0
LightGlue: Local Feature Matching at Light SpeedCode4
Shape-Constraint Recurrent Flow for 6D Object Pose EstimationCode1
S2LD: Sparse-to-Local-Dense Matching for Geometry-Guided Correspondence EstimationCode1
Data-Free Backbone Fine-Tuning for Pruned Neural NetworksCode0
UltraGlove: Hand Pose Estimation with Mems-Ultrasonic Sensors0
Affine Correspondences between Multi-Camera Systems for Relative Pose EstimationCode1
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network0
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition0
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models0
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors0
CAD-Estate: Large-scale CAD Model Annotation in RGB VideosCode1
Generating Images with 3D Annotations Using Diffusion Models0
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB ImagesCode1
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguityCode1
MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth ImageCode0
detrex: Benchmarking Detection Transformers0
D3L: Decomposition of 3D Rotation and Lift from 2D Joint to 3D for Human Mesh Recovery0
Motion-DVAE: Unsupervised learning for fast human motion denoising0
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs0
Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings0
Does Image Anonymization Impact Computer Vision Training?Code2
BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis0
Efficient Vision Transformer for Human Pose Estimation via Patch Selection0
BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics PrimitivesCode1
Learning Probabilistic Coordinate Fields for Robust Correspondences0
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?0
Two-View Geometry Scoring Without CorrespondencesCode1
Strengths and Weaknesses of 3D Pose Estimation and Inertial Motion Capture System for Movement Therapy0
A Probabilistic Relaxation of the Two-Stage Object Pose Estimation Paradigm0
Self-supervised Vision Transformers for 3D Pose Estimation of Novel ObjectsCode0
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow0
Dictionary Learning under Symmetries via Group Representations0
Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training0
A Probabilistic Rotation Representation for Symmetric Shapes With an Efficiently Computable Bingham Loss FunctionCode0
ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes0
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose EstimationCode0
Counter-Hypothetical Particle Filters for Single Object Pose Tracking0
Generalizable Pose Estimation Using Implicit Scene RepresentationsCode0
Shape-based pose estimation for automatic standard views of the knee0
Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality0
Robust Category-Level 3D Pose Estimation from Synthetic Data0
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural LanguageCode1
EgoHumans: An Egocentric 3D Multi-Human BenchmarkCode0
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One ReferenceCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1yoloposeAP5090.3Unverified
2ViTPose (ViTAE-G, ensemble)AP81.1Unverified
3ViTPose (ViTAE-G)AP80.9Unverified
4PoseBH-HAP79.5Unverified
5UDP-Pose-PSA(384x288)AP79.5Unverified
64xRSN-50 (ensemble)AP79.2Unverified
7UDP-Pose-PSA(256x192)AP78.9Unverified
8CCM+AP78.9Unverified
94xRSN-50AP78.6Unverified
10PCT (256x256)AP78.3Unverified
#ModelMetricClaimedVerifiedStatus
1PCT (swin-l, test set)PCKh-0.594.3Unverified
2Soft-gated Skip ConnectionsPCKh-0.594.1Unverified
3Cascade Feature AggregationPCKh-0.593.9Unverified
4PCT (swin-b, test set)PCKh-0.593.8Unverified
5TransPosePCKh-0.593.5Unverified
6UniHCP (FT)PCKh-0.593.2Unverified
74xRSN-50PCKh-0.593Unverified
8UniPosePCKh-0.592.7Unverified
9MSPNPCKh-0.592.6Unverified
10Spatial ContextPCKh-0.592.5Unverified
#ModelMetricClaimedVerifiedStatus
1ViTPose (ViTAE-G, GT bounding boxes)Test AP93.3Unverified
2UniHCP (direct eval)Test AP87.4Unverified
3PoseBH-HTest AP87Unverified
4RTMPose(RTMPose-l, GT bounding boxes)Test AP80.3Unverified
5TransPose-HValidation AP62.3Unverified
6BBox-Mask-Pose 2xTest AP48.3Unverified
7BUCTD (CID-W32)Test AP47.2Unverified
8HQNet (ViT-L)Test AP45.6Unverified
9MaskPose-bTest AP45Unverified
10CID (HRNet-W48)Test AP45Unverified
#ModelMetricClaimedVerifiedStatus
1OmniPosePCK99.5Unverified
2Soft-gated Skip ConnectionsPCK94.8Unverified
3Residual Hourglass + ASR + AHOPCK94.5Unverified
4UniPosePCK94.5Unverified
5Chou et al. arXiv'17PCK94Unverified
6Pyramid Residual Modules (PRMs)PCK93.9Unverified
7Stacked hourglass + Inception-resnetPCK93.9Unverified
8Multi-Context AttentionPCK92.6Unverified
9FPDPCK90.8Unverified
10Part heatmap regression (ResNet-152)PCK90.7Unverified
#ModelMetricClaimedVerifiedStatus
1BUCTD-W48 (w/cond. input from PETR, and generative sampling)AP78.5Unverified
2ViTPose-GAP78.3Unverified
3BUCTD-W48 (w/cond. input from PETR)AP76.7Unverified
4SwinV2-L 1K-MIMAP75.5Unverified
5SwinV2-B 1K-MIMAP74.9Unverified
6BUCTD-W48AP72.9Unverified
7OpenPifPafAP70.5Unverified
8MIPNet (HRNet-W48)AP70Unverified
9KAPAO-LAP68.9Unverified
10KAPAO-MAP67.1Unverified
#ModelMetricClaimedVerifiedStatus
1CCNet (ViTPose-B_GT-bbox_256x192)AP78.1Unverified
2MogaNet-B (384x288)AP77.3Unverified
3ViTPose-B (Single-task_GT-bbox_256x192)AP77.3Unverified
4MogaNet-S (384x288)AP76.4Unverified
5Bias (HRNet_256x192)AP75.8Unverified
6ViTPose-B (Single-task_Det-bbox_256x192)AP75.8Unverified
7HRNet (256x192)AP75.3Unverified
8MogaNet-S (256x192)AP74.9Unverified
9MogaNet-T (256x192)AP73.2Unverified
10RLE (256x192)AP71.3Unverified
#ModelMetricClaimedVerifiedStatus
1Hulk(Finetune, ViT-L)AP37.1Unverified
2Hulk(Finetune, ViT-B)AP35.6Unverified
3HRFormer (HRFomer-B)AP34.4Unverified
4UniHCP (finetune)AP33.6Unverified
5HRNet (HRNet-w48 )AP33.5Unverified
6HRNet (HRNet-w32)AP32.3Unverified
7HRFormer (HRFomer-S)AP31.6Unverified
8SimpleBaseline (ResNet-152)AP29.9Unverified
9SimpleBaseline (ResNet-101)AP29.4Unverified
10SimpleBaseline (ResNet-50)AP28Unverified
#ModelMetricClaimedVerifiedStatus
1BUCTD (PETR, with generative sampling)APL83.7Unverified
2OmniPose (WASPv2)AP79.5Unverified
3MetaPrompt-SDAP79Unverified
4Hulk(Finetune, ViT-L)AP78.7Unverified
5BUCTD (PETR, with generative sampling)AP77.8Unverified
6Hulk(Finetune, ViT-B)AP77.5Unverified
7I²R-Net (1st stage:HRFormer-B)AP77.3Unverified
8PATH (Partial FT)AP77.1Unverified
9SOLIDER (swin-B)AP76.6Unverified
10PEFORMER-Xcit-dino-p8AP72.6Unverified
#ModelMetricClaimedVerifiedStatus
1GIM-DKMDUC1-Acc@0.25m,10°57.1Unverified
2GIM-LoFTRDUC1-Acc@0.25m,10°54.5Unverified
3GIM-SuperGlueDUC1-Acc@0.25m,10°53.5Unverified
4DKMDUC1-Acc@0.25m,10°51.5Unverified
5SuperGlueDUC1-Acc@0.25m,10°49Unverified
6LoFTRDUC1-Acc@0.25m,10°47.5Unverified
#ModelMetricClaimedVerifiedStatus
1AdaPoseMean mAP93.38Unverified
2DECA-D3Mean mAP88.75Unverified
3V2V-PoseNetMean mAP88.74Unverified
4A2JMean mAP88Unverified
5RENMean mAP84.9Unverified
6Multi-task learning + viewpoint invarianceMean mAP77.4Unverified
#ModelMetricClaimedVerifiedStatus
1SimpleBaseline + HANetMean PCK@0.299.6Unverified
2DeciWatchMean PCK@0.299Unverified
3LSTM PMMean PCK@0.293.6Unverified
4CPMMean PCK@0.291.9Unverified
5UniTrack_i18Mean PCK@0.280.5Unverified
#ModelMetricClaimedVerifiedStatus
14xRSN-50PCKh@0.593Unverified
2RefinePCKh@0.592.1Unverified
3EfficientPose IVPCKh@0.591.2Unverified
4OpenPosePCKh@0.588.8Unverified
5Adversarial LearningPCKh@0.588.6Unverified
#ModelMetricClaimedVerifiedStatus
1OmniPoseMean PCK@0.299.4Unverified
2UniPose-LSTMMean PCK@0.299.3Unverified
3LSTM PMMean PCK@0.297.7Unverified
4Thin-SlicingMean PCK@0.296.5Unverified
5Iqbal et al.Mean PCK@0.281.1Unverified
#ModelMetricClaimedVerifiedStatus
1DP-RCNN-DeepLab (ResNet-101)AP68Unverified