Our manuscript aims to tackle the two tricky problems in pose estimation, confusion caused by the complex background interferences and small persons with low-resolution. Those two problems, even the state-of-the-art methods, such as MultiPoseNet, Detectron2, can’t solve them well. But we achieve superior performances than them.

Our method surpasses the state-of-the-art methods because our novel auxiliary network, which has never appeared in all the previous networks.