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 27512800 of 4228 papers

TitleStatusHype
A Novel Approach to Vehicle Pose Estimation using Automotive Radar0
A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS0
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning0
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation0
Feature-based Event Stereo Visual Odometry0
Uncertainty-Aware Camera Pose Estimation from Points and Lines0
Relation-Based Associative Joint Location for Human Pose Estimation in VideosCode0
A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing0
FasterPose: A Faster Simple Baseline for Human Pose Estimation0
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation0
RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach0
Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes0
Test-Time Personalization with a Transformer for Human Pose Estimation0
Empowering cyberphysical systems of systems with intelligence0
VolNet: Estimating Human Body Part Volumes from a Single RGB Image0
Can Super Resolution be used to improve Human Pose Estimation in Low Resolution Scenarios?0
6D Object Pose Estimation using Keypoints and Part Affinity Fields0
HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks0
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks0
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human DigitizationCode0
Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos0
Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data0
ChaLearn Looking at People: Inpainting and Denoising challenges0
CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head RedirectionCode0
Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion0
Keypoint-Graph-Driven Learning Framework for Object Pose Estimation0
Visual Correspondence Hallucination0
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking0
Automatic Main Character Recognition for Photographic Studies0
Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking0
Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation0
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework0
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training0
Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation0
SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency0
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation ManifoldCode0
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in TimeCode0
Probabilistic Scan Matching: Bayesian Pose Estimation from Point Clouds0
3D Human Pose Estimation Based on 2D-3D Consistency with Synchronized Adversarial Training0
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking0
Task-Generic Hierarchical Human Motion Prior using VAEs0
Stein ICP for Uncertainty Estimation in Point Cloud MatchingCode0
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices0
Full-Resolution Encoder-Decoder Networks with Multi-Scale Feature Fusion for Human Pose Estimation0
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions0
Using Convolutional Neural Networks for Relative Pose Estimation of a Non-Cooperative Spacecraft with Thermal Infrared Imagery0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation0
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone InteractionCode0
Video-Based Inpatient Fall Risk Assessment: A Case Study0
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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