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机译:使用DENSENET主干使用面膜R-CNN的道路损伤检测和分类
School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450000 China;
SIPPR Engineering Group Co. Ltd. Zhengzhou 450000 China;
School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450000 China;
School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450000 China;
College of Electronic and Electrical Engineering Sungkyunkwan University Suwon 440746 Korea;
Road damage detection; road damage classification; Mask R-CNN framework; densely connected network;
机译:用掩模R-CNN检测和分类乳腺肿瘤在声图上的乳腺肿瘤
机译:工业应用的时间序列分类:路面损坏检测用例
机译:使用具有智能手机图像的深度神经网络对道路损坏进行检测和分类
机译:道路损伤检测和Detectron2和更快的R-CNN分类
机译:基于掩模R-CNN提取数据与VGG神经网络分类的猪姿势估计
机译:在超声图上使用掩模R-CNN对乳腺肿瘤进行检测和分类
机译:道路损伤检测和Detectron2和更快的R-CNN分类