• Laser & Optoelectronics Progress
  • Vol. 58, Issue 14, 1410012 (2021)
Xiaolong Chen1、*, Ji Zhao1、2, and Siyi Chen1、**
Author Affiliations
  • 1School of Automation and Electronic Information, Xiangtan University, Xiangtan, Hunan 411100, China
  • 2National CIMS Engineering Technology Research Center, Tsinghua University, Beijing 100084,China
  • show less
    DOI: 10.3788/LOP202158.1410012 Cite this Article Set citation alerts
    Xiaolong Chen, Ji Zhao, Siyi Chen. Lightweight Semantic Segmentation Network Based on Attention Coding[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410012 Copy Citation Text show less
    References

    [1] Cheng X Y, Zhao L Z, Hu Q et al. Real-time semantic segmentation based on dilated convolution smoothing and lightweight up-sampling[J]. Laser & Optoelectronics Progress, 57, 021017(2020).

    [2] Li L F, Hu M. Method for small-bridge-crack segmentation based on generative adversarial network[J]. Laser & Optoelectronics Progress, 56, 101004(2019).

    [3] Cai Y, Huang X G, Zhang Z A et al. Real-time semantic segmentation algorithm based on feature fusion technology[J]. Laser & Optoelectronics Progress, 57, 021011(2020).

    [4] Goodfellow I, Bengio Y, Courville A. Deep learning[M](2016).

    [5] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017). http://users.ics.aalto.fi/perellm1/thesis/summaries_html/node64.html

    [6] Deng J, Dong W, Socher R et al. ImageNet: a large-scale hierarchical image database[C]. //2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009, Miami, FL, USA, 248-255(2009).

    [7] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C]. //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA., 3431-3440(2015).

    [8] Zhao H S, Shi J P, Qi X J et al. Pyramid scene parsing network[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 6230-6239(2017).

    [9] Chen L C, Papandreou G, Kokkinos I et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 834-848(2018). http://europepmc.org/abstract/MED/28463186

    [10] Chen L C, Papandreou G, Schroff F et al. Rethinking atrous convolution for semantic image segmentation[EB/OL]. (2017-12-05) [2020-09-02]. https://arxiv. org/abs/1706.05587

    [11] Chen L C, Zhu Y K, Papandreou G et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11211, 833-851(2018).

    [12] Peng C, Zhang X Y, Yu G et al. Large kernel matters: improve semantic segmentation by global convolutional network[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 1743-1751(2017).

    [13] Wang X L, Girshick R, Gupta A et al. Non-local neural networks[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 7794-7803(2018).

    [14] Fu J, Liu J, Tian H J et al. Dual attention network for scene segmentation[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 3141-3149(2019).

    [15] Yuan Y H, Huang L, Guo J Y et al. OCNet: object context network for scene parsing[EB/OL]. (2018-09-16) [2020-09-02]. https://arxiv.org/abs/1809. 00916

    [16] Badrinarayanan V, Kendall A, Cipolla R. SegNet: a deep convolutional encoder-decoder architecture for image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 2481-2495(2017).

    [17] Ronneberger O, Fischer P, Brox T. U-net:convolutional networks for biomedical image segmentation[M]. //Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).

    [18] Lin G S, Milan A, Shen C H et al. RefineNet: multi-path refinement networks for high-resolution semantic segmentation[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 5168-5177(2017).

    [19] Everingham M, Gool L, Williams C K I et al. The pascal visual object classes (VOC) challenge[J]. International Journal of Computer Vision, 88, 303-338(2010).

    [20] Cordts M, Omran M, Ramos S et al. The cityscapes dataset[C]. //CVPR Workshop on the Future of Datasets in Vision, June 7-12, 2015, Boston, Massachusetts.(2015).

    [21] Cordts M, Omran M, Ramos S et al. The cityscapes dataset for semantic urban scene understanding[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 3213-3223(2016).

    [22] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 770-778(2016).

    [23] Chen B H, Deng W H, Hu J N. Mixed high-order attention network for person re-identification[C]. //2019 IEEE/CVF International Conference on Computer Vision (ICCV), October 27-November 2, 2019, Seoul, Korea (South)., 371-381(2019).

    [24] Li X, Hu X L, Yang J. Spatial group-wise enhance: improving semantic feature learning in convolutional networks[J]. (2018-11-28) [2020-09-02]. https:// arxiv.org/abs/1905.09646

    [25] Liu Z W, Li X X, Luo P et al. Semantic image segmentation via deep parsing network[C]. //2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 1377-1385(2015).

    [26] Wu Z F, Shen C H, van den Hengel A. Wider or deeper: revisiting the ResNet model for visual recognition[J]. Pattern Recognition, 90, 119-133(2019).

    [27] Zhang H, Dana K, Shi J P et al. Context encoding for semantic segmentation[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 7151-7160(2018).

    [28] Yang M K, Yu K, Zhang C et al. DenseASPP for semantic segmentation in street scenes[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 3684-3692(2018).

    Xiaolong Chen, Ji Zhao, Siyi Chen. Lightweight Semantic Segmentation Network Based on Attention Coding[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410012
    Download Citation