Multi-Person Pose Estimation
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Benchmarks
CrowdPose
COCO test-dev
MPII Multi-Person
OCHuman
COCO minival
PoseTrack2018
PoseTrack2017
WAF
COCO-WholeBody
COCO
Multi-Person PoseTrack
PoseTrack21
Most implemented
Mask R-CNN
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Deep High-Resolution Representation Learning for Human Pose Estimation
Simple Baselines for Human Pose Estimation and Tracking
Papers
IMPose: Interactive Multi-person Pose Estimation with Dynamic Correction Propagation
High-quality dynamic human pose annotation equips AI with precise motion kinematics to enable human behavior mastery, yet remains labor-intensive and time-consuming. Current annotation tools either lack temporal correcti…
Multi-Person Pose EstimationMulti-Person Pose Estimation Evaluation Using Optimal Transportation and Improved Pose Matching
In Multi-Person Pose Estimation, many metrics place importance on ranking of pose detection confidence scores. Current metrics tend to disregard false-positive poses with low confidence, focusing primarily on a larger nu…
Multi-Person Pose EstimationER-Pose: Rethinking Keypoint-Driven Representation Learning for Real-Time Human Pose Estimation
Single-stage multi-person pose estimation aims to jointly perform human localization and keypoint prediction within a unified framework, offering advantages in inference efficiency and architectural simplicity. Consequen…
Multi-Person Pose EstimationRepresentation LearningObject DetectionEnd-to-End Multi-Person Pose Estimation with Pose-Aware Video Transformer
Existing multi-person video pose estimation methods typically adopt a two-stage pipeline: detecting individuals in each frame, followed by temporal modeling for single person pose estimation. This design relies on heuris…
Multi-Person Pose Estimation2D Human Pose Estimation2D Pose EstimationAn End-to-End Framework for Video Multi-Person Pose Estimation
Video-based human pose estimation models aim to address scenarios that cannot be effectively solved by static image models such as motion blur, out-of-focus and occlusion. Most existing approaches consist of two stages: …
Multi-Person Pose EstimationSEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring
Event-based sensors have emerged as a promising solution for addressing challenging conditions in pedestrian and traffic monitoring systems. Their low-latency and high dynamic range allow for improved response time in sa…
Multi-Person Pose EstimationPose Estimation