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 37513800 of 4228 papers

TitleStatusHype
Mesh-based Dynamics with Occlusion Reasoning for Cloth ManipulationCode0
PEnG: Pose-Enhanced Geo-LocalisationCode0
Measuring Physical Plausibility of 3D Human Poses Using Physics SimulationCode0
MBE-ARI: A Multimodal Dataset Mapping Bi-directional Engagement in Animal-Robot InteractionCode0
YOLOv11: An Overview of the Key Architectural EnhancementsCode0
Enhancing 3D Human Pose Estimation Amidst Severe Occlusion with Dual Transformer FusionCode0
End-to-end Hand Mesh Recovery from a Monocular RGB ImageCode0
Self Adversarial Training for Human Pose EstimationCode0
A Temporal Densely Connected Recurrent Network for Event-based Human Pose EstimationCode0
Consensus-Driven Uncertainty for Robotic Grasping based on RGB PerceptionCode0
2D/3D Pose Estimation and Action Recognition using Multitask Deep LearningCode0
Embedding Pose Information for Multiview Vehicle Model RecognitionCode0
Person-in-WiFi: Fine-grained Person Perception using WiFiCode0
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding ModelCode0
A Survey of Advanced Computer Vision Techniques for SportsCode0
Trifocal Relative Pose from Lines at Points and its Efficient SolutionCode0
Learning Local RGB-to-CAD Correspondences for Object Pose EstimationCode0
Synthetic Humans for Action Recognition from Unseen ViewpointsCode0
Self-Paced Deep Regression Forests with Consideration of Ranking FairnessCode0
EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of ImagesCode0
eKalibr: Dynamic Intrinsic Calibration for Event Cameras From First Principles of EventsCode0
Matching Features without Descriptors: Implicitly Matched Interest PointsCode0
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose EstimationCode0
Consensus-based Optimization for 3D Human Pose Estimation in Camera CoordinatesCode0
Ego-Pose Estimation and Forecasting as Real-Time PD ControlCode0
Associative Embedding: End-to-End Learning for Joint Detection and GroupingCode0
3D Robot Pose Estimation from 2D ImagesCode0
Adversarial Attacks on Monocular Pose EstimationCode0
Self-Supervised 3D Human Pose Estimation with Multiple-View GeometryCode0
MaskedFusion: Mask-based 6D Object Pose EstimationCode0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPLCode0
EgoHumans: An Egocentric 3D Multi-Human BenchmarkCode0
PifPaf: Composite Fields for Human Pose EstimationCode0
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023Code0
Manipulation-Oriented Object Perception in Clutter through Affordance Coordinate FramesCode0
Ego3DPose: Capturing 3D Cues from Binocular Egocentric ViewsCode0
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose EstimationCode0
Pix3D: Dataset and Methods for Single-Image 3D Shape ModelingCode0
Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable DecoderCode0
Efficient, Self-Supervised Human Pose Estimation with Inductive Prior TuningCode0
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose EstimationCode0
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object PoseCode0
Cross-Camera Human Motion Transfer by Time Series AnalysisCode0
Self-Supervised Learning based Depth Estimation from Monocular ImagesCode0
Self-Supervised Learning of 3D Human Pose using Multi-view GeometryCode0
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian SplattingCode0
MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group SettingsCode0
Self-supervised Learning of Contextualized Local Visual EmbeddingsCode0
A PnP Algorithm for Two-Dimensional Pose EstimationCode0
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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