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 31513200 of 4228 papers

TitleStatusHype
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning0
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature ExtractionCode0
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision0
HintPose0
Single-Shot Pose Estimation of Surgical Robot Instruments' Shafts from Monocular Endoscopic Images0
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images0
Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose EstimationCode0
Object 6D Pose Estimation with Non-local Attention0
On-line non-overlapping camera calibration net0
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians0
A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare0
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation0
Vision based body gesture meta features for Affective Computing0
6DoF Object Pose Estimation via Differentiable Proxy Voting Loss0
3D Human Pose Estimation via Explicit Compositional Depth Maps0
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition0
AnimePose: Multi-person 3D pose estimation and animation0
Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation0
Combining 3D Model Contour Energy and Keypoints for Object Tracking0
Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps0
L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation with Small Datasets0
Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators0
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions0
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals0
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target ShiftCode0
LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching0
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning0
Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning0
Indoor Layout Estimation by 2D LiDAR and Camera Fusion0
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark0
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation0
Visual Perception and Modelling in Unstructured Orchard for Apple Harvesting Robots0
Silhouette-Net: 3D Hand Pose Estimation from Silhouettes0
One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation0
Category-Level Articulated Object Pose EstimationCode0
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression0
Extreme Relative Pose Network under Hybrid RepresentationsCode0
Minimal Solutions for Relative Pose with a Single Affine Correspondence0
Joint Forward-Backward Visual Odometry for Stereo Cameras0
DeepSFM: Structure From Motion Via Deep Bundle AdjustmentCode0
P^2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation0
PointVoteNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds0
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion CaptureCode0
Mimetics: Towards Understanding Human Actions Out of Context0
ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation0
Necessary and Sufficient Polynomial Constraints on Compatible Triplets of Essential Matrices0
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action RecognitionCode0
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong0
One Framework to Register Them All: PointNet Encoding for Point Cloud AlignmentCode0
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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