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 1301–1350 of 4228 papers

TitleStatusHype
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation—0
Learning semantical dynamics and spatiotemporal collaboration for human pose estimation in video—0
VarGes: Improving Variation in Co-Speech 3D Gesture Generation via StyleCLIPSCode0
HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimation—0
Metamorphic Testing for Pose Estimation Systems—0
BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization—0
CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World—0
Matrix3D: Large Photogrammetry Model All-in-One—0
Vision-in-the-loop Simulation for Deep Monocular Pose Estimation of UAV in Ocean Environment—0
Measuring Physical Plausibility of 3D Human Poses Using Physics SimulationCode0
GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation—0
Advanced Object Detection and Pose Estimation with Hybrid Task Cascade and High-Resolution Networks—0
A Real-Time Human Pose Measurement System for Human-In-The-Loop Dynamic Simulators—0
Enhancing Feature Tracking Reliability for Visual Navigation using Real-Time Safety Filter—0
A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration—0
SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-ImagesCode0
DebugAgent: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging—0
Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach—0
NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose EstimationCode0
Towards Better Robustness: Progressively Joint Pose-3DGS Learning for Arbitrarily Long Videos—0
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos—0
Optimizing Human Pose Estimation Through Focused Human and Joint Regions—0
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation—0
Light3R-SfM: Towards Feed-forward Structure-from-Motion—0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing—0
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction—0
VIGS SLAM: IMU-based Large-Scale 3D Gaussian Splatting SLAM—0
Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects—0
BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation—0
Refinement Module based on Parse Graph of Feature Map for Human Pose Estimation—0
A New Teacher-Reviewer-Student Framework for Semi-supervised 2D Human Pose Estimation—0
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement ModuleCode0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Leveraging 2D Masked Reconstruction for Domain Adaptation of 3D Pose Estimation—0
Predicting 4D Hand Trajectory from Monocular Videos—0
Robust Low-Light Human Pose Estimation through Illumination-Texture Modulation—0
AgentPose: Progressive Distribution Alignment via Feature Agent for Human Pose Distillation—0
BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos—0
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics—0
eKalibr: Dynamic Intrinsic Calibration for Event Cameras From First Principles of EventsCode0
Towards Balanced Continual Multi-Modal Learning in Human Pose Estimation—0
KN-LIO: Geometric Kinematics and Neural Field Coupled LiDAR-Inertial Odometry—0
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer—0
Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation—0
Spiking monocular event based 6D pose estimation for space application—0
HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos—0
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation—0
SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation—0
Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation—0
WorldPose: A World Cup Dataset for Global 3D Human Pose Estimation—0
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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