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
3D-Aware Ellipse Prediction for Object-Based Camera Pose EstimationCode0
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces0
Weakly-supervised 3D Human Pose Estimation with Cross-view U-shaped Graph Convolutional Network0
Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose DataCode0
A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks0
Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation0
Heuristic Weakly Supervised 3D Human Pose EstimationCode0
DSR: Direct Simultaneous Registration for Multiple 3D ImagesCode0
Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds0
3D Human Pose Regression using Graph Convolutional NetworkCode0
Physically Plausible Pose Refinement using Fully Differentiable Forces0
Composite Localization for Human Pose Estimation0
TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video0
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation0
Galois/monodromy groups for decomposing minimal problems in 3D reconstruction0
Estimation of 3D Human Pose Using Prior Knowledge0
Improving Robustness for Pose Estimation via Stable Heatmap Regression0
Towards Real-World Category-level Articulation Pose Estimation0
Neural Monocular 3D Human Motion Capture with Physical Awareness0
Parallel mesh reconstruction streams for pose estimation of interacting hands0
Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective0
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation0
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition0
Orderly Dual-Teacher Knowledge Distillation for Lightweight Human Pose Estimation0
Soft Expectation and Deep Maximization for Image Feature DetectionCode0
Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation0
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition0
Single-view robot pose and joint angle estimation via render & compare0
LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network0
Optimal Pose and Shape Estimation for Category-level 3D Object PerceptionCode0
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty0
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation0
Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence0
Holistic Guidance for Occluded Person Re-IdentificationCode0
Egocentric Pose Estimation from Human Vision Span0
GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion0
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency0
Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting0
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation0
Learning Spatial Context with Graph Neural Network for Multi-Person Pose GroupingCode0
End-to-end learning of keypoint detection and matching for relative pose estimation0
Learning to Track Instances without Video Annotations0
SimPoE: Simulated Character Control for 3D Human Pose Estimation0
Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs0
Physics-based Differentiable Depth Sensor Simulation0
An Adversarial Human Pose Estimation Network Injected with Graph Structure0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation0
TFPose: Direct Human Pose Estimation with Transformers0
A Marker-free Head Tracker Using Vision-based Head Pose Estimation with Adaptive Kalman Filter0
Measuring and modeling the motor system with machine learning0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1yoloposeAP5090.3Unverified
2ViTPose (ViTAE-G, ensemble)AP81.1Unverified
3ViTPose (ViTAE-G)AP80.9Unverified
4UDP-Pose-PSA(384x288)AP79.5Unverified
5PoseBH-HAP79.5Unverified
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
9CID (HRNet-W48)Test AP45Unverified
10MaskPose-bTest AP45Unverified
#ModelMetricClaimedVerifiedStatus
1OmniPosePCK99.5Unverified
2Soft-gated Skip ConnectionsPCK94.8Unverified
3UniPosePCK94.5Unverified
4Residual Hourglass + ASR + AHOPCK94.5Unverified
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