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 33013350 of 4228 papers

TitleStatusHype
How to improve CNN-based 6-DoF camera pose estimation0
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression0
FlatteNet: A Simple Versatile Framework for Dense Pixelwise PredictionCode0
Gaze Estimation for Assisted Living Environments0
EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye CamerasCode0
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning0
Self-Supervised Learning of Depth and Motion Under Photometric InconsistencyCode0
Adaptive Graphical Model Network for 2D Handpose EstimationCode0
Pose Neural Fabrics SearchCode0
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust0
Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency0
Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices0
VeREFINE: Integrating Object Pose Verification with Physics-guided Iterative RefinementCode0
Automated Animal Training and Iterative Inference of Latent Learning Policy0
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB0
Learning Enhanced Resolution-wise features for Human Pose Estimation0
Deep Workpiece Region Segmentation for Bin Picking0
Pose Estimation for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization0
Detector With Focus: Normalizing Gradient In Image Pyramid0
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense0
Cross View Fusion for 3D Human Pose EstimationCode0
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose RefinementCode0
CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining0
3D Face Pose and Animation Tracking via Eigen-Decomposition based Bayesian Approach0
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose EstimationCode0
SPGNet: Semantic Prediction Guidance for Scene Parsing0
Camera Pose Correction in SLAM Based on Bias Values of Map Points0
Single-Stage Multi-Person Pose MachinesCode0
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos0
Trajectory Space Factorization for Deep Video-Based 3D Human Pose EstimationCode0
BIM-assisted object recognition for the on-site autonomous robotic assembly of discrete structures0
In-bed Pressure-based Pose Estimation using Image Space Representation Learning0
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"Code0
Resolving 3D Human Pose Ambiguities with 3D Scene ConstraintsCode0
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose EstimationCode0
Instance Scale Normalization for image understanding0
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning0
Long-Duration Fully Autonomous Operation of Rotorcraft Unmanned Aerial Systems for Remote-Sensing Data Acquisition0
On the Robustness of Human Pose Estimation0
Cascaded Parallel Filtering for Memory-Efficient Image-Based LocalizationCode0
Cross-Domain Adaptation for Animal Pose Estimation0
FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks0
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation0
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras0
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild0
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM0
Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks0
To Learn or Not to Learn: Visual Localization from Essential Matrices0
Learning to Train with Synthetic HumansCode0
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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