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 29513000 of 4228 papers

TitleStatusHype
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation0
SMPLy Benchmarking 3D Human Pose Estimation in the Wild0
SniffyArt: The Dataset of Smelling Persons0
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation0
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations0
Soft-Margin Mixture of Regressions0
SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning0
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation0
Spacecraft depth completion based on the gray image and the sparse depth map0
SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing0
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views0
Sparse and Privacy-enhanced Representation for Human Pose Estimation0
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices0
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs0
Sparse Optical Flow-Based Line Feature Tracking0
SparsePose: Sparse-View Camera Pose Regression and Refinement0
Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis0
Spatial Attention-based Distribution Integration Network for Human Pose Estimation0
Spatial Attention Improves Iterative 6D Object Pose Estimation0
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos0
Spatial Feature Mapping for 6DoF Object Pose Estimation0
Spatial Shortcut Network for Human Pose Estimation0
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition0
Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation0
Spatiotemporal Characterization of Gait from Monocular Videos with Transformers0
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos0
SPCNet:Spatial Preserve and Content-aware Network for Human Pose Estimation0
Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images0
SPGNet: Semantic Prediction Guidance for Scene Parsing0
SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space0
Spiking monocular event based 6D pose estimation for space application0
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong0
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM0
SplatLoc: 3D Gaussian Splatting-based Visual Localization for Augmented Reality0
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting0
Sports Analysis and VR Viewing System Based on Player Tracking and Pose Estimation with Multimodal and Multiview Sensors0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds0
SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation0
SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations0
SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience0
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression0
SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation0
StablePose: Learning 6D Object Poses from Geometrically Stable Patches0
Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses0
STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM0
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection0
STAR-Pose: Efficient Low-Resolution Video Human Pose Estimation via Spatial-Temporal Adaptive Super-Resolution0
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos0
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation0
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS0
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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