论文标题
界面框的检测器算法和掩模R-CNN模型的分割面膜
Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model
论文作者
论文摘要
评估了边界框上的检测性能和掩模R-CNN模型的分割掩模输出。边界框和分割口罩的检测性能存在显着差异，那里前者不断优于后者。在分割面罩中，精确度和线性裂纹，关节，填充物和阴影的谐波值与边界框相比要低得多。其他类显示相似的谐波值。讨论对两个检测器的检测算法的边界框和分割面罩的检测指标进行了讨论。
Detection performances on bounding box and segmentation mask outputs of Mask R-CNN models are evaluated. There are significant differences in detection performances of bounding boxes and segmentation masks, where the former is constantly superior to the latter. Harmonic values of precisions and recalls of linear cracks, joints, fillings, and shadows are significantly lower in segmentation masks than bounding boxes. Other classes showed similar harmonic values. Discussions are made on different performances of detection metrics of bounding boxes and segmentation masks focusing on detection algorithms of both detectors.
