• Optoelectronics Letters
  • Vol. 13, Issue 5, 381 (2017)
Hui-qiang GENG, Hua ZHANG*, Yan-bing XUE, Mian ZHOU, Guang-ping XU, and Zan GAO
Author Affiliations
  • Key Laboratory of Computer Vision and System of Ministry of Education, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384, China
  • show less
    DOI: 10.1007/s11801-017-7086-6 Cite this Article
    GENG Hui-qiang, ZHANG Hua, XUE Yan-bing, ZHOU Mian, XU Guang-ping, GAO Zan. Semantic image segmentation with fused CNN features[J]. Optoelectronics Letters, 2017, 13(5): 381 Copy Citation Text show less
    References

    [1] S. Bu, P. Han, Z. Liu and J. Han, Pattern Recognition 59, 188 (2016).

    [2] Y. Bengio, Found. Trends Mach. Learn. 2, 1 (2009).

    [3] S. Zheng, S. Jayasuamana, B. Romera-Paredes, V. Vineet, Z. Su, D. Du, C. Huang and P. Torr, Conditional Random Fields as Recurrent Neural Networks, 1529 (2015).

    [4] L-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy and A.L. Yuille, Computer Science 4, 357 (2014).

    [5] J. Long, E. Shelhamer and T. Darrell, Fully Convolutional Networks for Semantic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition, 2015.

    [6] H. Caesar, U. Jasper and V. Ferrari, Region-Based Semantic Segmentation with End-to-End Training, Computer Vision – ECCV 2016, Springer International Publishing, 2016.

    [7] B. Hariharan, P. Arbelaez, R. Girshick and J. Malik, Simultaneous Detection and Segmentation, European Conference on Computer Vision, 297 (2014).

    [8] J. Carreira, R. Caseiro, R. J. Batista and C. Sminchisescu, Semantic Segmentation with Second-Order Pooling, European Conference on Computer Vision, 430 (2012).

    [9] J. Uijlings, K. van de Sande, T. Gevers and A. Smeulders, International Journal of Computer Vision 104, 154 (2013).

    [10] R. Girshick, Fast R-CNN, Computer Science, 2015.

    [11] R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua and S. Susstrunk, IEEE Trans. Pattern Anal. Mach. Intell. 34, 2274 (2012).

    [12] P. Krahenbuhl and V. Koltun, Efficient Inference in Fully Connected CRFS with Gaussian Edge Potentials, The Neural Information Processing Systems Conference, 109 (2012).

    [13] C. Liu, J. Yuen and A. Torralba, IEEE Transactions on Pattern Analysis & Machine Intelligence 33, 2368 (2011).

    [14] A. Vedaldi and K. Lenc, Matconvnet Convolutional Neural Networks for Matlab, CoRR abs/1412.4564, 689 (2014).

    [15] C. Farabet, C. Couprie, L. Najman and Y. LeCun, IEEE Transactions on Pattern Analysis & Machine Intelligence 35, 1915 (2013).

    [16] G. Singh and J. Kosecka, Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context, IEEE Computer Vision and Pattern Recognition, 3151 (2013).

    [17] S. Gould, J. Zhao and X. He, Superpixel Graph Label Transfer with Learned Distance Metric, European Conference on Computer Vision, 632 (2014).

    [18] C. Gatta, A. Romero and J. van de Veijer, Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks, IEEE Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, 504 (2014).

    [19] P. Pinheiro and R. Collobert, Recurrent Convolutional Neural Networks for Scene Labeling, International Conference on Machine Learning, 82 (2014).

    [20] W. Byeon, T.M. Breuel, F. Raue and M. Liwicki, Scene Labeling with LSTM Recurrent Neural Network, IEEE Computer Vision and Pattern Recognition, 3547 (2015).

    GENG Hui-qiang, ZHANG Hua, XUE Yan-bing, ZHOU Mian, XU Guang-ping, GAO Zan. Semantic image segmentation with fused CNN features[J]. Optoelectronics Letters, 2017, 13(5): 381
    Download Citation