University of Oulu

Türkmen S., Heikkilä J. (2019) An Efficient Solution for Semantic Segmentation: ShuffleNet V2 with Atrous Separable Convolutions. In: Felsberg M., Forssén PE., Sintorn IM., Unger J. (eds) Image Analysis. SCIA 2019. Lecture Notes in Computer Science, vol 11482. Springer, Cham

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

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Author: Türkmen, Sercan1; Heikkilä, Janne1
Organizations: 1Center for Machine Vision Research, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 4.3 MB)
Persistent link:
Language: English
Published: Springer Nature, 2019
Publish Date: 2020-05-12


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 convolutional neural networks have proved to be a successful solution for the task over the years but most of the work being done focuses primarily on accuracy. In this paper, we present a computationally efficient approach to semantic segmentation, while achieving a high mean intersection over union (mIOU), 70.33% on Cityscapes challenge. The network proposed is capable of running real-time on mobile devices. In addition, we make our code and model weights publicly available.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN: 978-3-030-20205-7
ISBN Print: 978-3-030-20204-0
Pages: 41 - 53
DOI: 10.1007/978-3-030-20205-7_4
Host publication: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings
Host publication editor: Felsberg, Michael
Forssén, Per-Erik
Sintorn, Ida-Maria
Unger, Jonas
Conference: Scandinavian Conference on Image Analysis
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Copyright information: © Springer Nature Switzerland AG 2019. This is a post-peer-review, pre-copyedit version of an article published in 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings. The final authenticated version is available online at: