Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding

Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler

2015

Abstract

Classifying single image patches is important in many different applications, such as road detection or scene understanding. In this paper, we present convolutional patch networks, which are convolutional networks learned to distinguish different image patches and which can be used for pixel-wise labeling. We also show how to incorporate spatial information of the patch as an input to the network, which allows for learning spatial priors for certain categories jointly with an appearance model. In particular, we focus on road detection and urban scene understanding, two application areas where we are able to achieve state-of-the-art results on the KITTI as well as on the LabelMeFacade dataset. Furthermore, our paper offers a guideline for people working in the area and desperately wandering through all the painstaking details that render training CNs on image patches extremely difficult.

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Paper Citation


in Harvard Style

Brust C., Sickert S., Simon M., Rodner E. and Denzler J. (2015). Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 510-517. DOI: 10.5220/0005355105100517

in Bibtex Style

@conference{visapp15,
author={Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler},
title={Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={510-517},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005355105100517},
isbn={978-989-758-090-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding
SN - 978-989-758-090-1
AU - Brust C.
AU - Sickert S.
AU - Simon M.
AU - Rodner E.
AU - Denzler J.
PY - 2015
SP - 510
EP - 517
DO - 10.5220/0005355105100517