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Feb, 2019
一种高效的语义分割解决方案：采用带孔可分离卷积的ShuffleNet V2
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions
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Sercan Türkmen, Janne Heikkilä
TL;DR
本文提出了一种在语义分割任务中具有高计算效率的方法，基于完全卷积神经网络，在同时实现高平均交并比的情况下，可以在移动设备上实时运行。
Abstract
Assigning a label to each pixel in an image, namely
semantic segmentation
, has been an important task in computer vision, and has applications in autonomous driving, robotic navigation, localization, and scene understanding. Fully
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