@misc{Brust2015ECPN, type = {misc}, key = {Brust2015ECPN}, title = {Efficient Convolutional Patch Networks for Scene Understanding}, author = {Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler}, note = {Poster presentation and extended abstract}, year = {2015}, abstract = {In this paper, we present convolutional patch networks, which are convolutional (neural) networks (CNN) learned to distinguish different image patches and which can be used for pixel-wise labeling. We show how to easily learn spatial priors for certain categories jointly with their appearance. Experiments for urban scene understanding demonstrate state-of-the-art results on the LabelMeFacade dataset. Our approach is implemented as a new CNN framework especially designed for semantic segmentation with fully-convolutional architectures.}, howpublished = {CVPR Workshop on Scene Understanding (CVPR-WS)}, groups = {semanticsegmentation,deeplearning,urbansceneunderstanding}, }