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 25512600 of 4228 papers

TitleStatusHype
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers0
AIMusicGuru: Music Assisted Human Pose Correction0
A Real World Dataset for Multi-view 3D Reconstruction0
DiffPoseNet: Direct Differentiable Camera Pose Estimation0
3D Human Pose Estimation Using Möbius Graph Convolutional Networks0
HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions0
Transforming Gait: Video-Based Spatiotemporal Gait Analysis0
On the sensitivity of pose estimation neural networks: rotation parameterizations, Lipschitz constants, and provable boundsCode0
Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation0
RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry0
Object-Based Visual Camera Pose Estimation From Ellipsoidal Model and 3D-Aware Ellipse Prediction0
Probabilistic Rotation Representation With an Efficiently Computable Bingham Loss Function and Its Application to Pose Estimation0
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators0
NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation0
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation0
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM0
Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation FrameworkCode0
Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation0
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV0
Sim2Real Instance-Level Style Transfer for 6D Pose Estimation0
Instance-aware multi-object self-supervision for monocular depth prediction0
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects0
Object Pose Estimation using Mid-level Visual RepresentationsCode0
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data0
Adversarial samples for deep monocular 6D object pose estimationCode0
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects0
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training0
TwistSLAM: Constrained SLAM in Dynamic Environment0
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization0
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study0
Combining the Silhouette and Skeleton Data for Gait Recognition0
Towards Simple and Accurate Human Pose Estimation with Stair Network0
AKB-48: A Real-World Articulated Object Knowledge Base0
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation0
Embedding Pose Information for Multiview Vehicle Model RecognitionCode0
HeadPosr: End-to-end Trainable Head Pose Estimation using Transformer Encoders0
Imposing Temporal Consistency on Deep Monocular Body Shape and Pose Estimation0
LwPosr: Lightweight Efficient Fine-Grained Head Pose EstimationCode0
A survey of top-down approaches for human pose estimation0
Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language0
CLA-NeRF: Category-Level Articulated Neural Radiance Field0
Sim2Real Object-Centric Keypoint Detection and Description0
ADG-Pose: Automated Dataset Generation for Real-World Human Pose EstimationCode0
Rigidity Preserving Image Transformations and Equivariance in Perspective0
Combining Local and Global Pose Estimation for Precise Tracking of Similar Objects0
Light field Rectification based on relative pose estimation0
Low-Cost Inertial Aiding for Deep-Urban Tightly-Coupled Multi-Antenna Precise GNSS0
Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks0
Tracking and Planning with Spatial World Models0
FN-Net:Remove the Outliers by Filtering the Noise0
Show:102550
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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