Permutohedral Lattice CNNs

Conference object, Preprint English OPEN
Kiefel, M.; Jampani, V.; Gehler, P.;
(2014)
  • Subject: Computer Science - Computer Vision and Pattern Recognition | Computer Science - Neural and Evolutionary Computing | Computer Science - Learning
    acm: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

This paper presents a convolutional layer that is able to process sparse input features. As an example, for image recognition problems this allows an efficient filtering of signals that do not lie on a dense grid (like pixel position), but of more general features (such... View more
  • References (10)

    Adams, Andrew, Gelfand, Natasha, Dolson, Jennifer, and Levoy, Marc. Gaussian kd-trees for fast high-dimensional filtering. In ACM SIGGRAPH 2009 Papers, SIGGRAPH '09, pp. 21:1-21:12, New York, NY, USA, 2009.

    Adams, Andrew, Baek, Jongmin, and Davis, Myers Abraham. Fast high-dimensional filtering using the permutohedral lattice. Comput. Graph. Forum, 29(2):753-762, 2010.

    Arbelez, Pablo, Maire, Michael, Fowlkes, Charless, and Malik, Jitendra. Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell., 33(5):898-916, May 2011.

    Aurich, Volker and Weule, Jo¨ rg. Non-linear Gaussian filters performing edge preserving diffusion. In Mustererkennung 1995, 17. DAGM-Symposium, Bielefeld, 13.-15. September 1995, Proceedings, pp. 538-545, 1995.

    Jia, Yangqing, Shelhamer, Evan, Donahue, Jeff, Karayev, Sergey, Long, Jonathan, Girshick, Ross, Guadarrama, Sergio, and Darrell, Trevor. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093, 2014.

    LeCun, Yann, Bottou, Le´on, Bengio, Yoshua, and Haffner, Patrick. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998.

    Mallat, Ste´phane. Group invariant scattering. Communications in Pure and Applied Mathematics, 65(10):1331-1398, 2012.

    Paris, Sylvain and Durand, Fre´do. A fast approximation of the bilateral filter using a signal processing approach. International Journal of Compututer Vision, 81(1):24-52, January 2009.

    Smith, Stephen M. and Brady, J. Michael. SUSAN - a new approach to low level image processing. Int. J. Comput. Vision, 23(1):45-78, May 1997. ISSN 0920-5691.

    Tomasi, Carlo and Roberto, Manduchi. Bilateral filtering for gray and color images. In Proceedings of the Sixth International Conference on Computer Vision, ICCV '98, pp. 839-846, Washington, DC, USA, 1998. IEEE Computer Society.

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