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 16011650 of 4228 papers

TitleStatusHype
Adversarial Constraint Learning for Structured PredictionCode0
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAMCode0
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open WorldCode0
Generalizable Pose Estimation Using Implicit Scene RepresentationsCode0
Discovery of Latent 3D Keypoints via End-to-end Geometric ReasoningCode0
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall RepresentationsCode0
Adversarial Attacks on Monocular Pose EstimationCode0
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender RecognitionCode0
DSR: Direct Simultaneous Registration for Multiple 3D ImagesCode0
Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric LocalizationCode0
Ball-and-socket joint pose estimation using magnetic fieldCode0
Hybrid coarse-fine classification for head pose estimationCode0
InLoc: Indoor Visual Localization with Dense Matching and View SynthesisCode0
Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose EstimationCode0
Human Pose Regression by Combining Indirect Part Detection and Contextual InformationCode0
Human pose estimation via Convolutional Part Heatmap RegressionCode0
Human Pose Estimation with Iterative Error FeedbackCode0
D-InLoc++: Indoor Localization in Dynamic EnvironmentsCode0
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-IdentificationCode0
Human Pose Estimation for Real-World Crowded ScenariosCode0
HRVMamba: High-Resolution Visual State Space Model for Dense PredictionCode0
HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose EstimationCode0
Diffusion Features for Zero-Shot 6DoF Object Pose EstimationCode0
Learnable Triangulation of Human PoseCode0
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic ModelCode0
DiffSLVA: Harnessing Diffusion Models for Sign Language Video AnonymizationCode0
HPERL: 3D Human Pose Estimation from RGB and LiDARCode0
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth ForecastingCode0
3D Semantic Scene Perception using Distributed Smart Edge SensorsCode0
How Robust is 3D Human Pose Estimation to Occlusion?Code0
A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young InfantsCode0
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera PoseCode0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
Self-Supervised Learning of Depth and Motion Under Photometric InconsistencyCode0
HiFi-CS: Towards Open Vocabulary Visual Grounding For Robotic Grasping Using Vision-Language ModelsCode0
Hierarchical Graph Networks for 3D Human Pose EstimationCode0
DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose EstimationCode0
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose ModelsCode0
3D Robot Pose Estimation from 2D ImagesCode0
Heuristic Weakly Supervised 3D Human Pose EstimationCode0
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose EstimationCode0
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformERCode0
ADG-Pose: Automated Dataset Generation for Real-World Human Pose EstimationCode0
GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative SpacecraftCode0
AutoPose: Searching Multi-Scale Branch Aggregation for Pose EstimationCode0
Head Pose Estimation Based on 5D Rotation RepresentationCode0
HEViTPose: High-Efficiency Vision Transformer for Human Pose EstimationCode0
Automating 3D Dataset Generation with Neural Radiance FieldsCode0
Automatic vocal tract landmark localization from midsagittal MRI dataCode0
HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic LabelingCode0
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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