[1] Guo C C, Yu F Q, Chen Y. Image semantic segmentation based on convolutional neural network feature and improved superpixel matching[J]. Laser & Optoelectronics Progress, 55, 081005(2018).

[2] LeCun Y, Bottou L, Bengio Y et al. . Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 86, 2278-2324(1998).

[3] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

[4] 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. New York: IEEE, 248-255(2009).

[5] 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. New York: IEEE, 3431-3440(2015).

[6] Fang X, Wang G H, Yang H C et al. High resolution remote sensing image classification combining with mean-shift segmentation and fully convolution neural network[J]. Laser & Optoelectronics Progress, 55, 022802(2018).

[7] Wang L, Liu Q. A multi-object image segmentation algorithm based on local feature[J]. Laser & Optoelectronics Progress, 55, 061002(2018).

[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. New York: IEEE, 6230-6239(2017).

[9] Chen L C, Papandreou G, Kokkinos I, fully connected CRFs[J/OL] et al. -06-07)[2019-03-30]. https:∥arxiv., org/abs/1412, 7062(2016).

[10] 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).

[11] Chen L C, Papandreou G, Schroff F et al. -12-05)[2019-03-30]. https∥arxiv., org/abs/1706, 05587(2017).

[12] 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. Cham: Springer, 11211, 833-851(2018).

[13] 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. New York: IEEE, 3684-3692(2018).

[14] 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. New York: IEEE, 1743-1751(2017).

[15] 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. New York: IEEE, 7794-7803(2018).

[16] Fu J, Liu J, Tian H J et al. Dual attention network for scene segmentation. [C]∥The IEEE Conference on Computer Vision and Pattern Recognition, June 16-20, 2019, Long Beach, CA, USA. New York: IEEE, 3146-3154(2019).

[17] Huang Z L, Wang X G, Huang L C et al. -11-28) [2019-03-30]. https∥arxiv., org/abs/1811, 11721(2018).

[18] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision - ECCV 2016. Lecture notes in computer science. Cham: Springer, 9905, 21-37(2016).

[19] Cai Z W, Fan Q F, Feris R S et al. A unified multi-scale deep convolutional neural network for fast object detection[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision - ECCV 2016. Lecture notes in computer science. Cham: Springer, 9908, 354-370(2016).

[20] 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. New York: IEEE, 5168-5177(2017).

[21] 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. New York: IEEE, 770-778(2016).

[22] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 936-944(2017).

[23] 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. New York: IEEE(2015).

[24] 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. New York: IEEE, 3213-3223(2016).

[25] 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. New York: IEEE, 7151-7160(2018).