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 9511000 of 4228 papers

TitleStatusHype
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB VideoCode1
From Image Collections to Point Clouds with Self-supervised Shape and Pose NetworksCode1
SAMP: Shape and Motion Priors for 4D Vehicle ReconstructionCode1
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic DataCode1
Deep Orientation Uncertainty Learning based on a Bingham LossCode1
Motion Guided 3D Pose Estimation from VideosCode1
EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data AssociationCode1
EfficientPose: Scalable single-person pose estimationCode1
Deep Global RegistrationCode1
RGBD-Dog: Predicting Canine Pose from RGBD SensorsCode1
Self6D: Self-Supervised Monocular 6D Object Pose EstimationCode1
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild EnvironmentCode1
Verification of Deep Convolutional Neural Networks Using ImageStarsCode1
End-to-end Learning Improves Static Object Geo-localization in Monocular VideoCode1
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric FusionCode1
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth SupervisionCode1
Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose EstimationCode1
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the WildCode1
Towards Better Generalization: Joint Depth-Pose Learning without PoseNetCode1
Compressed Volumetric Heatmaps for Multi-Person 3D Pose EstimationCode1
EPOS: Estimating 6D Pose of Objects with SymmetriesCode1
Optical Non-Line-of-Sight Physics-based 3D Human Pose EstimationCode1
HOPE-Net: A Graph-based Model for Hand-Object Pose EstimationCode1
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric ApproachCode1
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector FeaturesCode1
Peeking into occluded joints: A novel framework for crowd pose estimationCode1
Deep Soft Procrustes for Markerless Volumetric Sensor AlignmentCode1
Monocular Real-time Hand Shape and Motion Capture using Multi-modal DataCode1
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse pointsCode1
DeepURL: Deep Pose Estimation Framework for Underwater Relative LocalizationCode1
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in VideoCode1
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape EstimationCode1
Learning Delicate Local Representations for Multi-Person Pose EstimationCode1
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPSCode1
PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge DistillationCode1
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive HandsCode1
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose EstimationCode1
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot NavigationCode1
Robust 6D Object Pose Estimation by Learning RGB-D FeaturesCode1
Toward fast and accurate human pose estimation via soft-gated skip connectionsCode1
Anatomy-aware 3D Human Pose Estimation with Bone-based Pose DecompositionCode1
Towards High Performance Human Keypoint DetectionCode1
Nonparametric Structure Regularization Machine for 2D Hand Pose EstimationCode1
Attention! A Lightweight 2D Hand Pose Estimation ApproachCode1
UniPose: Unified Human Pose Estimation in Single Images and VideosCode1
Deep Reinforcement Learning for Active Human Pose EstimationCode1
HybridPose: 6D Object Pose Estimation under Hybrid RepresentationsCode1
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose EstimationCode1
Quaternion Equivariant Capsule Networks for 3D Point CloudsCode1
VIBE: Video Inference for Human Body Pose and Shape EstimationCode1
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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