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 11511200 of 4228 papers

TitleStatusHype
Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D DataCode0
Numerical Coordinate Regression with Convolutional Neural NetworksCode0
CU-Net: Coupled U-NetsCode0
CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head RedirectionCode0
Nose, eyes and ears: Head pose estimation by locating facial keypointsCode0
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkCode0
Normalized DiversificationCode0
Cross View Fusion for 3D Human Pose EstimationCode0
A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction ScenariosCode0
ACRNet: Attention Cube Regression Network for Multi-view Real-time 3D Human Pose Estimation in TelemedicineCode0
Cross-modal Deep Variational Hand Pose EstimationCode0
Neural Scene Decomposition for Multi-Person Motion CaptureCode0
CrossInfoNet: Multi-Task Information Sharing Based Hand Pose EstimationCode0
Cross-Domain Complementary Learning Using Pose for Multi-Person Part SegmentationCode0
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape EstimationCode0
NeRF-Supervised Feature Point Detection and DescriptionCode0
Cross-Domain 3D Equivariant Image EmbeddingsCode0
NAPA: Neural Art Human Pose AmplifierCode0
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose EstimationCode0
MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose EstimationCode0
NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose EstimationCode0
Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation?Code0
MURAUER: Mapping Unlabeled Real Data for Label AUstERityCode0
Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?Code0
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose EncodingCode0
Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose EstimationCode0
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor EnvironmentsCode0
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking ChallengeCode0
MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth ImageCode0
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual NetworkCode0
Multi-Person Pose Estimation with Local Joint-to-Person AssociationsCode0
SMPR: Single-Stage Multi-Person Pose RegressionCode0
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action RecognitionCode0
Multi-person 3D pose estimation from unlabelled dataCode0
Multi-Context Attention for Human Pose EstimationCode0
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) DistributionsCode0
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributionsCode0
Multi-camera Torso Pose Estimation using Graph Neural NetworksCode0
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic GraphCode0
Multi-body Depth and Camera Pose Estimation from Multiple ViewsCode0
Multimodal Active Measurement for Human Mesh Recovery in Close ProximityCode0
APR-Transformer: Initial Pose Estimation for Localization in Complex Environments through Absolute Pose RegressionCode0
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose EstimationCode0
Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge NetworksCode0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
A Probabilistic Rotation Representation for Symmetric Shapes With an Efficiently Computable Bingham Loss FunctionCode0
FlatteNet: A Simple Versatile Framework for Dense Pixelwise PredictionCode0
A comprehensive framework for occluded human pose estimationCode0
MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh ReconstructionCode0
Convolutional Pose MachinesCode0
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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