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 701750 of 4228 papers

TitleStatusHype
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose EstimationCode1
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
Progressive Correspondence Pruning by Consensus LearningCode1
Convex Hull-based Algebraic Constraint for Visual Quadric SLAMCode1
IFTD: Image Feature Triangle Descriptor for Loop Detection in Driving ScenesCode1
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose EstimationCode1
Image and AIS Data Fusion Technique for Maritime Computer Vision ApplicationsCode1
iMatching: Imperative Correspondence LearningCode1
img2pose: Face Alignment and Detection via 6DoF, Face Pose EstimationCode1
BabelCalib: A Universal Approach to Calibrating Central CamerasCode1
BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics PrimitivesCode1
Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose EstimationCode1
Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative KeypointsCode1
INeRF: Inverting Neural Radiance Fields for Pose EstimationCode1
Invariant Representation Learning for Infant Pose Estimation with Small DataCode1
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal DenoiserCode1
CATRE: Iterative Point Clouds Alignment for Category-level Object Pose RefinementCode1
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
Interweaved Graph and Attention Network for 3D Human Pose EstimationCode1
Causal Transformer for Fusion and Pose Estimation in Deep Visual Inertial OdometryCode1
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose EstimationCode1
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple ViewsCode1
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth ImageCode1
Key Frame Proposal Network for Efficient Pose Estimation in VideosCode1
AWR: Adaptive Weighting Regression for 3D Hand Pose EstimationCode1
Direct Multi-view Multi-person 3D Pose EstimationCode1
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose EstimationCode1
Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global OptimizationCode1
DiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression ApproachCode1
Context-Aware Sequence Alignment using 4D Skeletal AugmentationCode1
LAMP: Leveraging Language Prompts for Multi-person Pose EstimationCode1
Full-Body Articulated Human-Object InteractionCode1
LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose EstimationCode1
DirectPose: Direct End-to-End Multi-Person Pose EstimationCode1
CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural NetworkCode1
ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee BehaviorsCode1
Learning Affine Correspondences by Integrating Geometric ConstraintsCode1
Learning from Simulated and Unsupervised Images through Adversarial TrainingCode1
Learning from synthetic data generated with GRADECode1
CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space DataCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose EstimationCode1
Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose EstimationCode1
An Analysis of SVD for Deep Rotation EstimationCode1
Learning To Detect Scene Landmarks for Camera LocalizationCode1
ClearPose: Large-scale Transparent Object Dataset and BenchmarkCode1
Learning to Estimate External Forces of Human Motion in VideoCode1
A Visual Navigation Perspective for Category-Level Object Pose EstimationCode1
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose 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