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 501550 of 4228 papers

TitleStatusHype
DiffPose: Toward More Reliable 3D Pose EstimationCode1
Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in VideosCode1
SliceMatch: Geometry-guided Aggregation for Cross-View Pose EstimationCode1
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose EstimationCode1
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing IndustryCode1
Pose-disentangled Contrastive Learning for Self-supervised Facial RepresentationCode1
CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote AggregationCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
Anatomy-guided domain adaptation for 3D in-bed human pose estimationCode1
Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular VisionCode1
Normalizing Flows for Human Pose Anomaly DetectionCode1
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot ManipulationCode1
Interacting Hand-Object Pose Estimation via Dense Mutual AttentionCode1
Robust Collaborative 3D Object Detection in Presence of Pose ErrorsCode1
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable PartsCode1
MEVID: Multi-view Extended Videos with Identities for Video Person Re-IdentificationCode1
Bootstrapping Human Optical Flow and PoseCode1
THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervisionCode1
Video based Object 6D Pose Estimation using TransformersCode1
HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave RadarCode1
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement TransformersCode1
MEEV: Body Mesh Estimation On Egocentric VideoCode1
Parallel Inversion of Neural Radiance Fields for Robust Pose EstimationCode1
Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement AssessmentCode1
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose EstimationCode1
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the WildCode1
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose EstimationCode1
Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting TransformersCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
DCL-Net: Deep Correspondence Learning Network for 6D Pose EstimationCode1
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene ReconstructionCode1
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric LocalizationCode1
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose RegressionCode1
PCKRF: Point Cloud Completion and Keypoint Refinement With Fusion Data for 6D Pose EstimationCode1
MBW: Multi-view Bootstrapping in the WildCode1
Generative Category-Level Shape and Pose Estimation with Semantic PrimitivesCode1
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual TasksCode1
Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB VideosCode1
D&D: Learning Human Dynamics from Dynamic CameraCode1
PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimationCode1
TempCLR: Reconstructing Hands via Time-Coherent Contrastive LearningCode1
Light curve completion and forecasting using fast and scalable Gaussian processes (MuyGPs)Code1
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic GraspingCode1
PoseBERT: A Generic Transformer Module for Temporal 3D Human ModelingCode1
Unifying Visual Perception by Dispersible Points LearningCode1
MoCapDeform: Monocular 3D Human Motion Capture in Deformable ScenesCode1
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic WorkflowsCode1
PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose EstimationCode1
Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose EstimationCode1
Show:102550
← PrevPage 11 of 85Next →

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