In general object detection, scale variation is always a big challenge. At present, feature pyramid networks are employed in numerous methods to alleviate the problems caused by large range of objects which makes use multi-level features extracted from backbone for top-down upsampling and fusion acquire set multi-scale depth image features. However, network proposed Ghiasi et al. adopts simple ...