\شماره٪٪۱
Krizhevsky, A., Sutskever, I. and Hinton, G.E. ``Imagenet classification
with deep convolutional neural networks'', {\it Advances in
Neural Information
Processing Systems}, {\bf 25}(2), pp. 1097-1105 (2012).
\شماره٪٪۲
O. Russakovsky, J. Deng, H. Su. and et al.
``Imagenet large scale visual recognition
challenge'', {\it
International Journal of Computer Vision}, {\bf
115}(3)pp.211-252 (2015).
\شماره٪٪۳
Cha, Y.J, Choi, W. and Buyukozturk, O.
``Deep learning-based crack damage detection using convolutional
neural networks'', {\it Computer-Aided Civil and Infrastructure Engineering},
{\bf 32}(5), pp. 361-378 (2017).
\شماره٪٪۴
Cha, Y.J. Choi, W. and Suh, S.
``Autonomous structural visual inspection using region-based deep
learning for detecting multiple damage types'', {\it Computer-Aided Civil and
Infrastructure Engineering}, {\bf 33}(9), pp. 731-747 (2018).
\شماره٪٪۵
Mohtasham Khani, M., Vahidnia, S., Ghasemzadeh, L. and et al.
``Deep-learning-based crack
detection with applications for the structural health monitoring of gas
turbines'', {\it Structural Health Monitoring}, {\bf
19}(5), pp. 1440-1452 (2020).
\شماره٪٪۶
Feng, C., Zhang, H., Wang, S. and et al. ``Structural
damage detection using deep convolutional neural network and transfer
learning'', {\it KSCE Journal of Civil Engineering}, {\bf
23}(10), pp. 4493-4502
(2019).
\شماره٪٪۷
Long, J., Shelhamer, E. and Darrell, T. ``Fully convolutional networks for
semantic segmentation'', {\it Proceedings of the IEEE Conference on Computer
Vision and Pattern Recognition}, pp. 3431-3440 (2015).
\شماره٪٪۸
Yang, X., Li, H., Yu, Y. and et al. ``Automatic
pixel-level crack detection and measurement using fully convolutional
network'', {\it Computer-Aided Civil and Infrastructure Engineering},
{\bf 33}(12),
pp. 1090-1109 (2018).
\شماره٪٪۹
Zhang, L., Yang, F., Zhang, Y.D. and et al. ``Road crack detection using
deep convolutional neural network'', {\it 2016 IEEE International Conference
on Image Processing (ICIP), IEEE}, pp. 3708-3712 (2016).
\شماره٪٪۱۱
Ronneberger, O., Fischer, P. and Brox, T. ``U-net: Convolutional networks
for biomedical image segmentation'', {\it International Conference on Medical
Image Computing and Computer-Assisted Intervention}, Springer, pp. 234-241
(2015).
\شماره٪٪۱۲
Liu, Z., Cao, Y., Wang, Y. and et al. ``Computer vision-based concrete
crack detection using U-net fully convolutional networks'', {\it Automation in
Construction}, {\bf 104}, pp. 129-139 (2019).
\شماره٪٪۱۷
Tan, M. and Le, Q. ``Efficientnet: Rethinking model scaling for
convolutional neural networks'', {\it International Conference on Machine
Learning, PMLR}, pp. 6105-6114 (2019).
\شماره٪٪۱۸
Simonyan, K. and Zisserman, A. ``Very deep convolutional networks for
large-scale image recognition'', {\it ArXiv Preprint ArXiv},
{\bf 1409}, pp. 1556 (2014).
\شماره٪٪۱۹
Deng, J., Dong, W., Socher, R. and et al.
``Imagenet: A large-scale hierarchical image database'', {\it 2009 IEEE
Conference on Computer Vision and Pattern Recognition, Ieee}, pp. 248-255
(2009).
\شماره٪٪۲۰
He, K., Zhang, X., Ren, S. and et al. ``Deep residual learning for image
recognition'', {\it Proceedings of the IEEE Conference on Computer Vision and
Pattern Recognition}, pp. 770-778 (2016).
\شماره٪٪۲۱
Xie, S., Girshick, R. and Dollar, Z. and et al.
``Aggregated residual transformations for deep
neural networks'', {\it Proceedings of the IEEE Conference on Computer Vision
and pattern recognition}, pp. 1492-1500 (2017).
\شماره٪٪۲۲
Zoph, B., Vasudevan, V., Shlens, J. and et al. ``Learning transferable
architectures for scalable image recognition'', {\it Proceedings of the IEEE
Conference on Computer Vision and Pattern Recognition}, pp. 8697-8710 (2018).
\شماره٪٪۲۳
Huang, Y., Cheng, Y., Bapna, A. and et al.
``Gpipe: Efficient training of giant neural
networks using pipeline parallelism'', {\it Advances in neural information
Processing Systems}, {\bf 32}, pp. 103-112 (2019).
\شماره٪٪۲۴
Sandler, M., Howard, A., Zhu, M. and et al.
``Mobilenetv2: Inverted residuals and linear bottlenecks'', {\it Proceedings
of the IEEE Conference on Computer Vision and Pattern Recognition}, pp.
4510-4520 (2018).
\شماره٪٪۲۵
Abadi, M., Agarwal, A., and Barham, P.
``TensorFlow: Large-scale machine learning on heterogeneous
Systems'', {\it Journal article, Co