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 33513400 of 4228 papers

TitleStatusHype
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking0
OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos0
OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB0
On-board Electrical, Electronics and Pose Estimation System for Hyperloop Pod Design0
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos0
ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation0
On-device Scalable Image-based Localization via Prioritized Cascade Search and Fast One-Many RANSAC0
One2Any: One-Reference 6D Pose Estimation for Any Object0
One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation0
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models0
One-Shot Imitation Learning: A Pose Estimation Perspective0
On Linear Structure From Motion for Light Field Cameras0
Online Initialization and Extrinsic Spatial-Temporal Calibration for Monocular Visual-Inertial Odometry0
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network0
Online Localization and Prediction of Actions and Interactions0
Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation0
On-line non-overlapping camera calibration net0
Online Test-time Adaptation for 3D Human Pose Estimation: A Practical Perspective with Estimated 2D Poses0
On Relative Pose Recovery for Multi-Camera Systems0
On the Calibration of Human Pose Estimation0
On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images0
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures0
On the Query Strategies for Efficient Online Active Distillation0
On the Robustness of Human Pose Estimation0
On the role of depth predictions for 3D human pose estimation0
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation0
JOG3R: Towards 3D-Consistent Video Generators0
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images0
OpenCapBench: A Benchmark to Bridge Pose Estimation and Biomechanics0
Open Challenges for Monocular Single-shot 6D Object Pose Estimation0
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose0
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development0
Open-vocabulary object 6D pose estimation0
OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare0
Optimising 2D Pose Representation: Improve Accuracy, Stability and Generalisability Within Unsupervised 2D-3D Human Pose Estimation0
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones0
Optimizing Human Pose Estimation Through Focused Human and Joint Regions0
Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation0
Optimizing Network Structure for 3D Human Pose Estimation0
Orderly Dual-Teacher Knowledge Distillation for Lightweight Human Pose Estimation0
Orientation Keypoints for 6D Human Pose Estimation0
ORTexME: Occlusion-Robust Human Shape and Pose via Temporal Average Texture and Mesh Encoding0
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework0
OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation0
Out of the Box: A combined approach for handling occlusion in Human Pose Estimation0
Overlapping and Non-overlapping Camera Layouts for Robot Pose Estimation0
Overlapping Cover Local Regression Machines0
Overlap Suppression Clustering for Offline Multi-Camera People Tracking0
P^2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation0
P^2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation0
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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