
A novel one-stage end-to-end algorithm called Joint Coordinate Regression and Association (JCRA) that directly predicts full-body poses without any post-processing, achieving state-of-the-art performance in accuracy and efficiency.


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a-novel-one-stage-end-to-end-approach-for-efficient-and-accurate-multi-person-pose-estimation


A Novel One-Stage End-to-End Approach for Efficient and Accurate Multi-Person Pose Estimation


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The proposed Dual-Path Hierarchical Relation Network (DHRNet) leverages complementary cross-instance and cross-joint interactive information to enhance multi-person pose estimation performance.


dual-path-hierarchical-relation-network-for-accurate-multi-person-pose-estimation


Dual-Path Hierarchical Relation Network for Accurate Multi-Person Pose Estimation
