论文阅读笔记《A High-Efficiency Fully Convolutional Networks for Pixel-Wise Surface Defect Detection》
核心思想 本文提出一种基于全卷积神经网络的表面缺陷检测方法，整个算法分成三个任务阶段：分割阶段，检测阶段和修边阶段（Matting Stage）。分割阶段就是用一个全卷积神经网络（FCN）输出缺陷区域的分割图，对缺陷区域进行像素级别的分割。检测阶段是对分割结果进行更精细的修正，因为有些区域被误判为缺陷，需要重新对其进行分类。修边阶段就是对预测结果的边缘进行修整，使其反映出真实的缺陷区域。整个算
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