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 41514200 of 4228 papers

TitleStatusHype
Graph Context Transformation Learning for Progressive Correspondence PruningCode0
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action CountingCode0
Resolving 3D Human Pose Ambiguities with 3D Scene ConstraintsCode0
A generalizable approach for multi-view 3D human pose regressionCode0
Speeding Up Iterative Closest Point Using Stochastic Gradient DescentCode0
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose EstimationCode0
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent SpaceCode0
Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and AlgorithmCode0
Globally Tuned Cascade Pose Regression via Back Propagation with Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT ImagesCode0
GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative SpacecraftCode0
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNsCode0
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose ModelsCode0
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera PoseCode0
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion CaptureCode0
Generic 3D Representation via Pose Estimation and MatchingCode0
Reuse your features: unifying retrieval and feature-metric alignmentCode0
Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and RegressionCode0
Deep ChArUco: Dark ChArUco Marker Pose EstimationCode0
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density NetworkCode0
Generalizing Monocular 3D Human Pose Estimation in the WildCode0
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose EstimationCode0
ACRNet: Attention Cube Regression Network for Multi-view Real-time 3D Human Pose Estimation in TelemedicineCode0
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose EstimationCode0
Generalizable Pose Estimation Using Implicit Scene RepresentationsCode0
GAF-Net: Video-Based Person Re-Identification via Appearance and Gait RecognitionsCode0
ReynoldsFlow: Exquisite Flow Estimation via Reynolds Transport TheoremCode0
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical InstrumentsCode0
ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose EstimationCode0
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single ImageCode0
A fast minimal solver for absolute camera pose with unknown focal length and radial distortion from four planar pointsCode0
Form2Fit: Learning Shape Priors for Generalizable Assembly from DisassemblyCode0
Decanus to Legatus: Synthetic training for 2D-3D human pose liftingCode0
Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose EstimationCode0
ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlueCode0
Appearance-based gaze estimation enhanced with synthetic images using deep neural networksCode0
Automatic Labeling of Parkinson’s Disease Gait Videos with Weak SupervisionCode0
FocalPose++: Focal Length and Object Pose Estimation via Render and CompareCode0
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace ApplicationsCode0
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraCode0
Flowing ConvNets for Human Pose Estimation in VideosCode0
Flexible graph convolutional network for 3D human pose estimationCode0
FishNet: A Camera Localizer using Deep Recurrent NetworksCode0
SPP-Net: Deep Absolute Pose Regression with Synthetic ViewsCode0
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep LearningCode0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
Data-Free Backbone Fine-Tuning for Pruned Neural NetworksCode0
DAC: Data-free Automatic Acceleration of Convolutional NetworksCode0
CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line CorrespondencesCode0
CU-Net: Coupled U-NetsCode0
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great againCode0
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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