Search Results for author: Sercan Türkmen

Found 1 papers, 1 papers with code

An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions

1 code implementation20 Feb 2019 Sercan Türkmen, Janne Heikkilä

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.

Autonomous Driving Scene Understanding +2

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