Sep 2026
CL-HPE: enhancing human pose estimation via lightweight structural attention mechanisms
CL-HPE is presented, a lightweight framework for competitive and efficient pose estimation that provides a practical solution in resource-constrained environments and suggests a favorable accuracy–efficiency trade-off among lightweight pose estimators.
Yue-Han Liu, Shu-Yi She, Ya-Ting Li et al.
· The Visual Computer · 0 citations