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 28012850 of 4228 papers

TitleStatusHype
Robust Person Re-Identification through Contextual Mutual Boosting0
Robust Registration and Geometry Estimation from Unstructured Facial Scans0
Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations0
Robust Self-Supervised Extrinsic Self-Calibration0
The Impact of Loss Functions and Scene Representations for 3D/2D Registration on Single-view Fluoroscopic X-ray Pose Estimation0
Robust Statistical Approach for Extraction of Moving Human Silhouettes from Videos0
Robust Visual Sim-to-Real Transfer for Robotic Manipulation0
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking0
Rolling-Shutter-Aware Differential SfM and Image Rectification0
Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template0
RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior0
Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition0
Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation0
RSB-Pose: Robust Short-Baseline Binocular 3D Human Pose Estimation with Occlusion Handling0
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation0
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose0
RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation0
RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark0
RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges0
Rule Of Thumb: Deep derotation for improved fingertip detection0
S3LAM: Structured Scene SLAM0
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects0
SABER-6D: Shape Representation Based Implicit Object Pose Estimation0
Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses0
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network0
Sampling Based Scene-Space Video Processing0
SASSE: Scalable and Adaptable 6-DOF Pose Estimation0
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results0
Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning0
Scalable Structure From Motion for Densely Sampled Videos0
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition0
Scale-Net: Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching0
Scaling 4D Representations0
SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping0
Scene 3-D Reconstruction System in Scattering Medium0
Scene-Aware Feature Matching0
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects0
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training on Indoor Segmentation?0
SceneSqueezer: Learning To Compress Scene for Camera Relocalization0
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision0
SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow0
SeamPose: Repurposing Seams as Capacitive Sensors in a Shirt for Upper-Body Pose Tracking0
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery0
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones0
Secure Navigation using Landmark-based Localization in a GPS-denied Environment0
SecurePose: Automated Face Blurring and Human Movement Kinematics Extraction from Videos Recorded in Clinical Settings0
“Seeing is Believing”: Pedestrian Trajectory Forecasting Using Visual Frustum of Attention0
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG0
SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization0
Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning0
Show:102550
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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