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 13011350 of 4228 papers

TitleStatusHype
Markerless human pose estimation for biomedical applications: a survey0
Lightweight Super-Resolution Head for Human Pose EstimationCode1
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation0
Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication SystemsCode1
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation0
Effective Whole-body Pose Estimation with Two-stages DistillationCode4
Iterative Graph Filtering Network for 3D Human Pose EstimationCode0
Revisiting Fully Convolutional Geometric Features for Object 6D Pose EstimationCode1
Robust Visual Sim-to-Real Transfer for Robotic Manipulation0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving0
Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control0
PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose EstimationCode1
Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior0
FDCT: Fast Depth Completion for Transparent ObjectsCode1
TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation0
Pūioio: On-device Real-Time Smartphone-Based Automated Exercise Repetition Counting System0
Challenges for Monocular 6D Object Pose Estimation in Robotics0
Pyramid Semantic Graph-based Global Point Cloud Registration with Low OverlapCode2
Design Space Exploration on Efficient and Accurate Human Pose Estimation from Sparse IMU-SensingCode0
LAMP: Leveraging Language Prompts for Multi-person Pose EstimationCode1
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation0
KVN: Keypoints Voting Network with Differentiable RANSAC for Stereo Pose EstimationCode1
SimCol3D -- 3D Reconstruction during Colonoscopy ChallengeCode1
POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical ActivitiesCode1
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting0
Self-supervised Monocular Depth Estimation: Let's Talk About The WeatherCode1
Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View TransformerCode1
Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents0
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic DataCode2
Deep learning-based estimation of whole-body kinematics from multi-view imagesCode0
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular VideoCode1
ResMatch: Residual Attention Learning for Local Feature MatchingCode1
TransPose: A Transformer-based 6D Object Pose Estimation Network with Depth Refinement0
Equivariant Single View Pose Prediction Via Induced and Restricted Representations0
RCDN -- Robust X-Corner Detection Algorithm based on Advanced CNN Model0
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose EstimationCode1
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning0
A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition0
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones0
Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach0
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose EstimationCode1
Automatic Solver Generator for Systems of Laurent Polynomial EquationsCode1
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling0
Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned0
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023Code0
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models0
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation0
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion SensingCode1
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects0
GoalieNet: A Multi-Stage Network for Joint Goalie, Equipment, and Net Pose Estimation in Ice Hockey0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1yoloposeAP5090.3Unverified
2ViTPose (ViTAE-G, ensemble)AP81.1Unverified
3ViTPose (ViTAE-G)AP80.9Unverified
4UDP-Pose-PSA(384x288)AP79.5Unverified
5PoseBH-HAP79.5Unverified
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
9CID (HRNet-W48)Test AP45Unverified
10MaskPose-bTest AP45Unverified
#ModelMetricClaimedVerifiedStatus
1OmniPosePCK99.5Unverified
2Soft-gated Skip ConnectionsPCK94.8Unverified
3UniPosePCK94.5Unverified
4Residual Hourglass + ASR + AHOPCK94.5Unverified
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