论文笔记：DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution,and......
文章目录 1 摘要 2 亮点 2.1 空洞卷积 2.2 空洞空间金字塔池化（ASPP） 2.3 条件随机场（CRF） 2.4 实现过程 3 部分效果 4 结论 5 参考文献 1 摘要 本文提出了一种用于语义分割的DeepLab系统，主要有三大贡献：① 使用“空洞卷积”代替传统的普通卷积；② 提出空洞空间金字塔池化（ASPP）有效地解决图像多尺度问题；③ 使用条件随机场（CRF）对特征图进行后处理，
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