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 34013450 of 4228 papers

TitleStatusHype
DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation0
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud0
FishNet: A Camera Localizer using Deep Recurrent NetworksCode0
LO-Net: Deep Real-time Lidar Odometry0
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter0
Disentangling Pose from Appearance in Monochrome Hand Images0
Matrix and tensor decompositions for training binary neural networks0
Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking0
Gyroscope-aided Relative Pose Estimation for Rolling Shutter Cameras0
Absolute Human Pose Estimation with Depth Prediction NetworkCode0
Generalizing Monocular 3D Human Pose Estimation in the WildCode0
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density NetworkCode0
Improved training of binary networks for human pose estimation and image recognition0
High-Resolution Representations for Labeling Pixels and RegionsCode1
Unsupervised 3D Pose Estimation with Geometric Self-Supervision0
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin0
POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method0
3D Local Features for Direct Pairwise Registration0
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering0
Normalized DiversificationCode0
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations0
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects0
Spatial Shortcut Network for Human Pose Estimation0
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments0
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor0
DeceptionNet: Network-Driven Domain Randomization0
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences0
Monocular 3D Human Pose Estimation by Generation and Ordinal RankingCode1
The RGB-D Triathlon: Towards Agile Visual Toolboxes for RobotsCode0
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis0
Person-in-WiFi: Fine-grained Person Perception using WiFiCode0
Outlier-Robust Spatial Perception: Hardness, General-Purpose Algorithms, and GuaranteesCode0
A Novel Method for the Absolute Pose Problem with Pairwise Constraints0
Generalized Feedback Loop for Joint Hand-Object Pose Estimation0
KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation0
Fast Underwater Image Enhancement for Improved Visual PerceptionCode0
Trifocal Relative Pose from Lines at Points and its Efficient SolutionCode0
Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray NavigationCode0
Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning0
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation0
Multi-person Articulated Tracking with Spatial and Temporal Embeddings0
GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments0
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM0
Understanding the Limitations of CNN-based Absolute Camera Pose RegressionCode0
Hand range of motion evaluation for Rheumatoid Arthritis patients0
Live Reconstruction of Large-Scale Dynamic Outdoor WorldsCode0
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation0
PifPaf: Composite Fields for Human Pose EstimationCode0
DeepHuman: 3D Human Reconstruction from a Single ImageCode1
Adversarial Networks for Camera Pose Regression and Refinement0
Show:102550
← PrevPage 69 of 85Next →

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