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 23512400 of 4228 papers

TitleStatusHype
ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones0
ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft Pose Estimation0
PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation0
Boosting of Head Pose Estimation by Knowledge Distillation0
Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling StrategyCode1
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule AutoencodersCode1
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks0
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose EstimationCode1
Self-Supervised 3D Human Pose Estimation with Multiple-View GeometryCode0
Towards unconstrained joint hand-object reconstruction from RGB videosCode1
Learning Skeletal Graph Neural Networks for Hard 3D Pose EstimationCode0
Reassessing the Limitations of CNN Methods for Camera Pose Regression0
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc LabelingCode1
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and IntegrationCode2
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand SkeletonCode1
MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach0
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?0
MetaPose: Fast 3D Pose from Multiple Views without 3D SupervisionCode0
Visual SLAM with Graph-Cut Optimized Multi-Plane ReconstructionCode1
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos0
Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation0
A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse0
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild0
Transfer Learning for Pose Estimation of Illustrated CharactersCode1
Online Knowledge Distillation for Efficient Pose EstimationCode1
PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time0
Active Perception for Ambiguous Objects Classification0
LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh RenderingCode1
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation0
Instant Visual Odometry Initialization for Mobile ARCode1
Probabilistic Monocular 3D Human Pose Estimation with Normalizing FlowsCode1
Viewpoint-Invariant Exercise Repetition Counting0
Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose EstimationCode1
Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention0
Unsupervised Monocular Depth Estimation in Highly Complex EnvironmentsCode1
Sign and Search: Sign Search Functionality for Sign Language Lexica0
Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization0
Lighter Stacked Hourglass Human Pose Estimation0
Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle0
VIPose: Real-time Visual-Inertial 6D Object Pose Tracking0
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments0
Bangla sign language recognition using concatenated BdSL network0
Efficient Large Scale Inlier Voting for Geometric Vision Problems0
Hand Image Understanding via Deep Multi-Task LearningCode1
A3GC-IP: Attention-Oriented Adjacency Adaptive Recurrent Graph Convolutions for Human Pose Estimation from Sparse Inertial Measurements0
Human Pose Regression with Residual Log-likelihood EstimationCode1
Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior0
Adaptive Dilated Convolution For Human Pose Estimation0
PoseDet: Fast Multi-Person Pose Estimation Using Pose EmbeddingCode1
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