Learning a Discriminative Feature Network for Semantic Segmentation_CVPR2018
創新點：特徵區分網絡，分爲平滑網絡（Smooth network）和邊界網絡（Border network），解決類內不連續（intra-class inconsistency）和類間模糊（inter-class indistinction） 平滑網絡： 採用了RRB配合CAB的結構 RRB實際上就是一個類似ResNet的殘差結構 CAB就是一個注意力機制機構，將高級特徵和低級特徵conc
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