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 22512300 of 4228 papers

TitleStatusHype
6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping0
Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features0
Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing0
Direct Multi-view Multi-person 3D Pose EstimationCode1
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity TrackingCode1
Improving Pose Estimation through Contextual Activity Fusion0
Efficient 3D Deep LiDAR OdometryCode1
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertaintyCode1
Learning Eye-in-Hand Camera Calibration from a Single Image0
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation0
3DP3: 3D Scene Perception via Probabilistic ProgrammingCode1
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation0
A Comparative Study of Coarse to Dense 3D Indoor Scene Registration Algorithms0
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D PoseCode1
Incremental Learning for Animal Pose Estimation using RBF k-DPP0
SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real WorldCode1
A Dynamic Keypoints Selection Network for 6DoF Pose Estimation0
Occlusion-Robust Object Pose Estimation with Holistic RepresentationCode1
Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization0
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose EstimationCode1
Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation0
TransFusion: Cross-view Fusion with Transformer for 3D Human Pose EstimationCode1
Accurate and Robust Object-oriented SLAM with 3D Quadric Landmark Construction in Outdoor Environment0
HRFormer: High-Resolution Transformer for Dense PredictionCode1
Differentiable Rendering with Perturbed Optimizers0
Do You See What I See: Using Augmented Reality and Artificial Intelligence0
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer GraphCode0
3D Human Pose Estimation for Free-form Activity Using WiFi Signals0
Learning Temporal 3D Human Pose Estimation with Pseudo-LabelsCode0
HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive MediaCode1
A Review on Human Pose Estimation0
Event-Based high-speed low-latency fiducial marker tracking0
PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasetsCode0
Real-time, low-cost multi-person 3D pose estimation0
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose EstimationCode1
Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation0
6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-based Instance Representation Learning0
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
Unsupervised Pose-Aware Part Decomposition for 3D Articulated Objects0
A Multi-viewpoint Outdoor Dataset for Human Action RecognitionCode0
Towards Accurate Cross-Domain In-Bed Human Pose EstimationCode1
A Baseline Framework for Part-level Action Parsing and Action Recognition0
Construction Site Safety Monitoring and Excavator Activity Analysis System0
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain GapCode1
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion0
Shape-aware Multi-Person Pose Estimation from Multi-View Images0
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers0
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the WildCode1
Keypoint CommunitiesCode1
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation0
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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