机译:改进掩模R-CNN,具有距离引导与联盟的引导交叉,用于GPR签名检测和分割
Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China|Univ Tennessee Dept Civil & Environm Engn Knoxville TN USA;
Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China;
Univ Tennessee Dept Civil & Environm Engn Knoxville TN USA;
Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China;
Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China;
Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China;
Ground penetrating radar (GPR); Deep learning (DL); Civil infrastructure; Mask R-CNN; Detection and segmentation; Intersection over union (IoU);
机译:基于改进掩模R-CNN的面部检测与分割
机译:注意掩模R-CNN用于遥感图像的船舶检测和分割
机译:使用掩模R-CNN在结肠镜检查期间腺瘤结直肠息肉的自动检测和分割
机译:基于Mask R-CNN的联合广义交叉口人脸检测与分割
机译:开发GPR引导波数据分析的改进技术
机译:使用掩模R-CNN在结肠镜检查期间腺瘤结直肠息肉的自动检测和分割
机译:基于改进掩模R-CNN的堆叠电子元件的实例分割方法