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 751800 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
Domain Knowledge-Informed Self-Supervised Representations for Workout Form AssessmentCode1
Location-Sensitive Visual Recognition with Cross-IOU LossCode1
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point CloudsCode1
Double-chain Constraints for 3D Human Pose Estimation in Images and VideosCode1
Loose Inertial Poser: Motion Capture with IMU-attached Loose-Wear JacketCode1
A Visual Navigation Perspective for Category-Level Object Pose EstimationCode1
Mask2Hand: Learning to Predict the 3D Hand Pose and Shape from ShadowCode1
Mask R-CNNCode1
MatchFormer: Interleaving Attention in Transformers for Feature MatchingCode1
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose EstimationCode1
DITTO: Demonstration Imitation by Trajectory TransformationCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human PoseCode1
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose EstimationCode1
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationCode1
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
DistilPose: Tokenized Pose Regression with Heatmap DistillationCode1
MIMIC: Masked Image Modeling with Image CorrespondencesCode1
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose EstimationCode1
Do Different Tracking Tasks Require Different Appearance Models?Code1
Modeling Uncertain Feature Representation for Domain GeneralizationCode1
Modulated Graph Convolutional Network for 3D Human Pose EstimationCode1
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose EstimationCode1
Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field RegistrationCode1
Animatable Neural Radiance Fields from Monocular RGB VideosCode1
Monocular Real-time Hand Shape and Motion Capture using Multi-modal DataCode1
DVMNet++: Rethinking Relative Pose Estimation for Unseen ObjectsCode1
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement TransformersCode1
Ego-Body Pose Estimation via Ego-Head Pose EstimationCode1
DiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression ApproachCode1
Direct Multi-view Multi-person 3D Pose EstimationCode1
Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose EstimationCode1
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose EstimationCode1
Comparative Evaluation of 3D Reconstruction Methods for Object Pose EstimationCode1
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical SolutionsCode1
MRC-Net: 6-DoF Pose Estimation with MultiScale Residual CorrelationCode1
DirectPose: Direct End-to-End Multi-Person Pose EstimationCode1
Multi-Instance Pose Networks: Rethinking Top-Down Pose EstimationCode1
3D Human Pose Estimation With Spatio-Temporal Criss-Cross AttentionCode1
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth SupervisionCode1
Compressed Volumetric Heatmaps for Multi-Person 3D Pose EstimationCode1
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis AggregationCode1
NeFSAC: Neurally Filtered Minimal SamplesCode1
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
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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