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 41–50 of 118 papers

TitleStatusHype
EfficientPose: Scalable single-person pose estimationCode1
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose EstimationCode1
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose EstimationCode1
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
Simple Baselines for Human Pose Estimation and TrackingCode1
Differentially Private 2D Human Pose Estimation—0
A New Teacher-Reviewer-Student Framework for Semi-supervised 2D Human Pose Estimation—0
M3GYM: A Large-Scale Multimodal Multi-view Multi-person Pose Dataset for Fitness Activity Understanding in Real-world Settings—0
Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation—0
PCNet: a human pose compensation network based on incremental learning for sports actions estimation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RTMW-xWB70.2—Unverified
2PCNetWB66.4—Unverified
3ZoomNAS (V1.0 data)WB65.4—Unverified
4RTMPoseWB65.3—Unverified
5TCFormerWB64.2—Unverified
6ZoomNet (V1.0 data)WB63—Unverified
7Sapiens-0.3BWB62—Unverified
8ViTPose+-HWB61.2—Unverified
9Zauss et al.WB60.4—Unverified
10RTMW-mWB58—Unverified
#ModelMetricClaimedVerifiedStatus
1UniPoseAP0.76—Unverified
2RTMPose-lAP (gt bbox)0.75—Unverified
3ED-Pose (R50)AP0.72—Unverified
4ViTPose-hAP0.47—Unverified
5ViTPose-lAP0.46—Unverified
6HRNet-w48AP0.42—Unverified
7ViTpose-bAP0.41—Unverified
8HRNet-w32AP0.4—Unverified
9ViTPose-sAP0.38—Unverified
10RTMPose-sAP0.31—Unverified
#ModelMetricClaimedVerifiedStatus
1DeciWatchPCK98.8—Unverified
2PoseidonPCK97.3—Unverified
3SimplePosePCK94.4—Unverified
4DKD (ResNet50)PCK94—Unverified
5LSTM PMPCK93.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SEFDTest AP44.1—Unverified
2ResNet-50Test AP30.4—Unverified
3Pose2SegTest AP23.8—Unverified
#ModelMetricClaimedVerifiedStatus
1mitsimpo10-20% Mask PSNR12—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP5—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP18.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP35.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP39.1—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP36.2—Unverified