Abstract: Highlights•We propose a CNN-based Dual-path Hierarchical Relation Network for multi-person human pose estimation.•We design a dual-path interaction module (DIM) to simutaneously capture joint and instance interactions.•Guided by DIM, the model locates joints by integrating information from other instances and joints.•The method excels on COCO, CrowdPose, and OCHuman benchmarks, proving its effectiveness.
Loading