• Laser & Optoelectronics Progress
  • Vol. 55, Issue 8, 81005 (2018)
Guo Chengcheng, Yu Fengqin, and Chen Ying
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/lop55.081005 Cite this Article Set citation alerts
    Guo Chengcheng, Yu Fengqin, Chen Ying. Image Semantic Segmentation Based on Convolutional Neural Network Feature and Improved Superpixel Matching[J]. Laser & Optoelectronics Progress, 2018, 55(8): 81005 Copy Citation Text show less
    References

    [1] Ye G L, Sun S Y, Gao K J, et al. Nighttime pedestrian detection based on faster region convolution neural network[J]. Laser & Optoelectronics Progress, 2017, 54(8): 081003.

    [2] Wang M, Xiao L, Yang F. Blind road segmentation based on saliency detection and improved projective dictionary pair[J]. Laser & Optoelectronics Progress, 2017, 54(4): 041001.

    [3] Shi C J, Ruan Q Q. Feature selection with enhanced sparsity for web image annotation[J]. Journal of Software, 2015, 26(7): 1800-1811.

    [4] Bearman A, Russakovsky O, Ferrari V, et al. What′s the point: semantic segmentation with point supervision[C]. European Conference on Computer Vision, 2016: 549-565.

    [5] Wei Y C, Liang X D, Chen Y P, et al. STC: a simple to complex framework for weakly-supervised semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(11): 2314-2320.

    [6] Shi Z Y, Yang Y X, Hospedales T M, et al. Weakly-supervised image annotation and segmentation with objects and attributes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(12): 2525-2538.

    [7] Gao K J, Sun S Y, Yao G S, et al. Semantic segmentation of night vision images for unmanned vehicles based on deep learning[J]. Journal of Applied Optics, 2017, 38(3): 421-428.

    [8] Liu D, Liu X J, Wang M Z. Semantic segmentation with multi-scale convolutional neural network[J]. Remote Sensing Information, 2017, 32(1): 57-64.

    [9] Liu C, Yuen J, Torralba A. Nonparametric scene parsing via label transfer[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2368-2382.

    [10] Tighe J, Lazebnik S. Superparsing: scalable nonparametric image parsing with superpixels[C]. European Conference on Computer Vision, 2010: 352-365.

    [11] Tighe J, Lazebnik S. Finding things: image parsing with regions and per-exemplar detectors[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013: 3001-3008.

    [12] Yang J M, Price B, Cohen S, et al. Context driven scene parsing with attention to rare classes[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2014: 3294-3301.

    [13] Tung F, Little J J. Scene parsing by nonparametric label transfer of content-adaptive windows[J]. Computer Vision and Image Understanding, 2016, 143: 191-200.

    [14] Najafi M, Namin S T, Salzmann M, et al. Sample and filter: nonparametric scene parsing via efficient filtering[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016: 607-615.

    [15] Felzenszwalb P F, Huttenlocher D P. Efficient graph-based image segmentation[J]. International Journal of Computer Vision, 2004, 59(2): 167-181.

    [16] Shimazaki H, Shinomoto S. Kernel bandwidth optimization in spike rate estimation[J]. Journal of Computational Neuroscience, 2010, 29: 171-182.

    [17] Menze M, Geiger A. Object scene flow for autonomous vehicles[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015: 3061-3070.

    Guo Chengcheng, Yu Fengqin, Chen Ying. Image Semantic Segmentation Based on Convolutional Neural Network Feature and Improved Superpixel Matching[J]. Laser & Optoelectronics Progress, 2018, 55(8): 81005
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