Semantic segmentation using Three-Dimensional Cellular Evolutionary Networks

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@InProceedings{Shimazaki:2016:SMC,
  author =       "Ken Shimazaki and Tomoharu Nagao",
  booktitle =    "2016 IEEE International Conference on Systems, Man,
                 and Cybernetics (SMC)",
  title =        "Semantic segmentation using Three-Dimensional Cellular
                 Evolutionary Networks",
  year =         "2016",
  pages =        "001411--001416",
  abstract =     "Image segmentation and image recognition are
                 challenging processes, and the methods of merging those
                 two processes like semantic segmentation have been
                 studied. However, it is a lot of labour to construct
                 the processes of segmentation and recognition manually,
                 so automatic construction of those approaches using
                 machine learning or evolutionary computation have been
                 proposed. In this paper, we propose a model of
                 pixel-wise image segmentation and recognition using
                 Cellular Evolutionary Networks (CEN). Our proposed
                 model is composed of a regular array of the identical
                 feed forward networks, represented in Cartesian Genetic
                 Programming (CGP), and each CGP connects with neighbour
                 CGPs. Besides, we also propose a new model of CEN
                 called Three-Dimensional Cellular Evolutionary Networks
                 (3D-CEN), which is composed of multiple CENs. We
                 applied CEN and 3D-CEN to road scene images and
                 verified the effectiveness of our method, and
                 experimental results showed that our new model acquired
                 better performance compared with other methods if
                 efficient evolution for CEN is done.",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  DOI =          "doi:10.1109/SMC.2016.7844434",
  month =        oct,
  notes =        "Also known as \cite{7844434}",
}

Genetic Programming entries for Ken Shimazaki Tomoharu Nagao

Citations