Learning a Discriminative Feature Network for Semantic Segmentation_CVPR2018
创新点：特征区分网络，分为平滑网络（Smooth network）和边界网络（Border network），解决类内不连续（intra-class inconsistency）和类间模糊（inter-class indistinction） 平滑网络： 采用了RRB配合CAB的结构 RRB实际上就是一个类似ResNet的残差结构 CAB就是一个注意力机制机构，将高级特征和低级特征conc
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