SOTAVerified

Multi-Person Pose Estimation

Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.

( Image credit: Human Pose Estimation with TensorFlow )

Papers

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Showing 1–10 of 151 papers

TitleStatusHype
SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring—0
DETRPose: Real-time end-to-end transformer model for multi-person pose estimationCode2
LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation—0
MultiFormer: A Multi-Person Pose Estimation System Based on CSI and Attention Mechanism—0
Multi-person Physics-based Pose Estimation for Combat Sports—0
RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a MillisecondCode0
SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-ImagesCode0
Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature FusionCode1
Waterfall Transformer for Multi-person Pose Estimation—0
VoxelKeypointFusion: Generalizable Multi-View Multi-Person Pose EstimationCode0
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All datasetsCrowdPoseCOCO (Common Objects in Context)COCO test-devMPII Multi-PersonOCHumanCOCO minivalPoseTrack2018PoseTrack2017WAFCOCOMulti-Person PoseTrackPoseTrack21

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PoseidonMean mAP87.8—Unverified
2DCPoseMean mAP79—Unverified
3PoseWarperMean mAP78—Unverified
4RefineMean mAP73.8—Unverified