SOTAVerified

2D Human Pose Estimation

What is Human Pose Estimation? Human pose estimation is the process of estimating the configuration of the body (pose) from a single, typically monocular, image. Background. Human pose estimation is one of the key problems in computer vision that has been studied for well over 15 years. The reason for its importance is the abundance of applications that can benefit from such a technology. For example, human pose estimation allows for higher-level reasoning in the context of human-computer interaction and activity recognition; it is also one of the basic building blocks for marker-less motion capture (MoCap) technology. MoCap technology is useful for applications ranging from character animation to clinical analysis of gait pathologies.

Papers

Showing 76100 of 118 papers

TitleStatusHype
On the Calibration of Human Pose Estimation0
On the role of depth predictions for 3D human pose estimation0
Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology0
Part-Aligned Bilinear Representations for Person Re-identification0
PCNet: a human pose compensation network based on incremental learning for sports actions estimation0
Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task0
2D Human Pose Estimation: A Survey0
Advanced Baseline for 3D Human Pose Estimation: A Two-Stage Approach0
Efficient Human Pose Estimation with Depthwise Separable Convolution and Person Centroid Guided Joint Grouping0
Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History0
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos0
Distilling Token-Pruned Pose Transformer for 2D Human Pose Estimation0
Active Human Pose Estimation via an Autonomous UAV Agent0
Prior-guided Source-free Domain Adaptation for Human Pose Estimation0
Differentially Private 2D Human Pose Estimation0
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation0
Removing the Bias of Integral Pose Regression0
Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing0
Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation0
What is it Like to Be a Bot: Simulated, Situated, Structurally Coherent Qualia (S3Q) Theory of Consciousness0
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information0
DeepSkeleton: Skeleton Map for 3D Human Pose Regression0
Contextual Graph Reasoning Networks0
Second-order Information in First-order Optimization Methods0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RTMW-xWB70.2Unverified
2PCNetWB66.4Unverified
3ZoomNAS (V1.0 data)WB65.4Unverified
4RTMPoseWB65.3Unverified
5TCFormerWB64.2Unverified
6ZoomNet (V1.0 data)WB63Unverified
7Sapiens-0.3BWB62Unverified
8ViTPose+-HWB61.2Unverified
9Zauss et al.WB60.4Unverified
10RTMW-mWB58Unverified
#ModelMetricClaimedVerifiedStatus
1UniPoseAP0.76Unverified
2RTMPose-lAP (gt bbox)0.75Unverified
3ED-Pose (R50)AP0.72Unverified
4ViTPose-hAP0.47Unverified
5ViTPose-lAP0.46Unverified
6HRNet-w48AP0.42Unverified
7ViTpose-bAP0.41Unverified
8HRNet-w32AP0.4Unverified
9ViTPose-sAP0.38Unverified
10RTMPose-sAP0.31Unverified
#ModelMetricClaimedVerifiedStatus
1DeciWatchPCK98.8Unverified
2PoseidonPCK97.3Unverified
3SimplePosePCK94.4Unverified
4DKD (ResNet50)PCK94Unverified
5LSTM PMPCK93.6Unverified
#ModelMetricClaimedVerifiedStatus
1SEFDTest AP44.1Unverified
2ResNet-50Test AP30.4Unverified
3Pose2SegTest AP23.8Unverified
#ModelMetricClaimedVerifiedStatus
1mitsimpo10-20% Mask PSNR12Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP5Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP18.6Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP35.6Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP39.1Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP36.2Unverified