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  • Mask R-CNN-based method for recognizing external breakage of . . .
    Semantic Scholar extracted view of "Mask R-CNN-based method for recognizing external breakage of transmission lines" by Yongbo Huo et al
  • 基于改进Mask R-CNN的输电线路防外破目标检测方法研究
    掩模实例分割神经网络 (Mask-RCNN)训练时使用的像素级掩模标注数据集成本较高，限制了该算法的大规模应用。 针对这些问题，将改进的 Mask-RCNN 网络应用到输电线路外破目标检测领域，在数据集标注过程中，使用边界框标注代替部分掩模标注。 训练时，将检测分支的特征迁移到掩模分支。 实验结果表明，改进后的算法能够在掩模标注样本占比 80%的条件下，对常见外破类别的平均识别准确率高于 91%，为输电线路外破隐患的准确识别与分割提供了一种可行的思路。
  • 基于改进Mask R-CNN的输电线路防外破目标检测方法研究 . . .
    掩模实例分割神经网络 (Mask-RCNN)训练时使用的像素级掩模标注数据集成本较高，限制了该算法的大规模应用。 针对这些问题，将改进的Mask-RCNN网络应用到输电线路外破目标检测领域，在数据集标注过程中，使用边界框标注代替部分掩模标注。 训练时，将检测分支的特征迁移到掩模分支。 实验结果表明，改进后的算法能够在掩模标注样本占比80%的条件下，对常见外破类别的平均识别准确率高于91%，为输电线路外破隐患的准确识别与分割提供了一种可行的思路。 (1 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China; 2
  • Target detection method for external damage of a transmission line . . .
    Target detection method for external damage of a transmission line based on an improved Mask R-CNN algorithm 改良MaskR-CNNに基づく送電線防破目標検出方法に関する研究【JST・京大機械翻訳】
  • A Visual Detection Method for Foreign Objects in Power Lines Based on . . .
    Therefore, this article uses MASK R-CNN as the basic network detection method for detecting foreign objects in the transmission network The experimental results show that compared with the traditional target detection method, the method adopted in this article has achieved good results in the speed, efficiency, and recognition
  • Mask R-CNN-based method for recognizing external breakage of . . .
    To this end, this paper proposes a kind of transmission line external damage recognition method based on Mask R-CNN using the target detection Mask R-CNN model, and utilizes various types of external damage and transmission line data pictures for training
  • Effectiveness of different neural networks on intelligent detection of . . .
    In this paper, three different image recognition algorithms, i e , YOLOv3, Faster R-CNN and Mask R-CNN deep learning models are used for detecting typical external damages of overhead transmission lines such as cranes and excavators
  • 基于改进Mask R-CNN的输电线路防外破目标检测方法研究 . . .
    基于改进Mask R-CNN的输电线路防外破目标检测方法研究 认领 被引量：27 Target detection method for external damage of a transmission line based on an improved Mask R-CNN algorithm
  • 基于改进 Mask R-CNN 的输电线路防外破目标检测方法研究
    algorithm To address these problems, this paper applies an improved Mask-RCNN network to the field of transmission line external breakage target detection by using bounding box annotation instead of partial mask annotation in the process of dataset





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