Journal of Applied Optics, Volume. 44, Issue 3, 539(2023)
Real-time segmentation algorithm of crack images based on improved Fast-SCNN
[7] [7] ZHAO H, SHI J, QI X, et al. Pyramid scene parsing network[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2017: 6230-6239.
[9] [9] HOU S K, OU Z G, QIN P X, et al. Image-based crack recognition of tunnel lining using residual U-Net convolutional neural network[J]. IOP Conference Series: Earth and Environmental Science, 2021, 861(7): 072001.
[12] [12] HANATI Tulsenhali, LIN Hang.Intelligent identification of cracks on concrete surface combining self-attention mechanism and deep learning[J]. Journal of Railway Science and Engineering, 2021, 18(4): 844-852.
[13] [13] POUDEL R P K, LIWICKI S, CIPOLLA R. Fast-SCNN: fast semantic segmentation network [EB/OL]. [2019-02-20].https://arxiv.org/pdf/1902.04502/pdf.
[14] [14] SANDLER M, HOWARD A, ZHU M L, et al. MobileNetV2: inverted residuals and linear bottlenecks [C]// 2018 IEEE/ CVF Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2018: 4510-4520.
[16] [16] VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[C]//Advances in Neural Information Processing Systems. [S. l. ]: arXiv, 2017: 5998-6008.
[18] [18] OKTAY O, SCHLEMPER J, FOLGOC L L, et al. Attention U-Net: learning where to look for the pancreas [EB/ OL]. [2020-09-10].https://arxiv. org/pdf/1804. 03999/pdf.
[20] [20] SELVARAJU R R, COGSWELL M, DAS A, et al. Grad-cam: visual explanations from deep networks via gradient-based localization[C]//Proceedings of the IEEE International Conference on Computer Vision. Venice: IEEE, 2017: 618-626.
[21] [21] 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). New York: IEEE, 2017: 6230-6239.
[23] [23] ZHAO H, QI X, SHEN X, et al. Icnet for real-time semantic segmentation on high-resolution images[C]//Proceedings of the European Conference on Computer Vision (ECCV). New York: IEEE, 2018: 405-420.
[24] [24] LI H, XIONG P, FAN H, et al. DFANet: deep feature aggregation for real-time semantic segmentation[C]// Proceedings of 2019 IEEE Conference on Computer Vision and Pattern Recognition. New York: IEEE, 2019: 9514–9523.
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Zheng ZHANG, Qinjian QIAN, Jiazheng ZHOU, Zipeng KE, Xinyu HU. Real-time segmentation algorithm of crack images based on improved Fast-SCNN[J]. Journal of Applied Optics, 2023, 44(3): 539
Category: Research Articles
Received: Jul. 7, 2022
Accepted: --
Published Online: Jun. 19, 2023
The Author Email: Qinjian QIAN (649473676@qq.com)