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 29012950 of 4228 papers

TitleStatusHype
PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields0
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation0
A Video Database of Human Faces under Near Infra-Red Illumination for Human Computer Interaction Aplications0
A Video-Based Method for Objectively Rating Ataxia0
A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation0
Point Pair Feature based Object Detection for Random Bin Picking0
PointVoteNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds0
A Vector-based Representation to Enhance Head Pose Estimation0
Point-to-Point Regression PointNet for 3D Hand Pose Estimation0
Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer0
LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-frame 3D Human Pose Estimation0
3D Human Pose Estimation on a Configurable Bed from a Pressure Image0
Automatic Main Character Recognition for Photographic Studies0
3D Human Pose Estimation in the Wild by Adversarial Learning0
Polarimetric Information for Multi-Modal 6D Pose Estimation of Photometrically Challenging Objects with Limited Data0
Polarimetric Pose Prediction0
Polarimetric Relative Pose Estimation0
Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models0
Automatic infant 2D pose estimation from videos: comparing seven deep neural network methods0
PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation0
Automated Identification of Trampoline Skills Using Computer Vision Extracted Pose Estimation0
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only0
Automated Animal Training and Iterative Inference of Latent Learning Policy0
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis0
A Unified Framework for Multi-View Multi-Class Object Pose Estimation0
A Unified Framework for Human-centric Point Cloud Video Understanding0
Pos3R: 6D Pose Estimation for Unseen Objects Made Easy0
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues0
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera0
UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction0
Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory0
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning0
POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method0
Augmenting Vision-Based Human Pose Estimation with Rotation Matrix0
Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation0
Pose-Based Fall Detection System: Efficient Monitoring on Standard CPUs0
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions0
Augmented Reality Warnings in Roadway Work Zones: Evaluating the Effect of Modality on Worker Reaction Times0
Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation0
Posebits for Monocular Human Pose Estimation0
Combining the Silhouette and Skeleton Data for Gait Recognition0
Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction0
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose0
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning0
Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose0
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction0
Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control0
Attention Models for Point Clouds in Deep Learning: A Survey0
PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation0
Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization0
Show:102550
← PrevPage 59 of 85Next →

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