[2] [2] XU C H,SHI C,CHEN Y N.End-to-end dilated convolution network for document image semantic segmentation[J].Journal of Central South University,2021,28(6):1765-1774.

[4] [4] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition［EB/OL］.(2015-04-10) ［2021-06-07］. https://arxiv.org/abs/1409.1556v6.

[5] [5] HE K M,ZHANG X Y,REN S Q,et al.Deep residual learning for image recognition［C］//IEEE Conference on Computer Vision and Pattern Recognition,June 27-30,2016,Las Vegas,NV,USA.Washington DC:IEEE Computer Society,2016,770-778.

[6] [6] KRIZHEVSKY A, SUTSKEVER I, HINTON G. ImageNet classification with deep convolutional neural networks[J].Communications of the ACM,2017,60(6):84-90.

[7] [7] LONG J,SHELHAMER E,DARRELL T.Fully convolutional networks for semantic segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,39(4):640-651.

[8] [8] 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,2017,39(12):2481-2495.

[9] [9] ZHANG Z L,ZHANG X Y,PENG C,et al. Exfuse: enhancing feature fusion for semantic segmentation［C］//The 15th European Conference on Computer Vision,September 8-14,2018,Munich,Germany.Berlin:Springer-Verlag,2018:273-288.

[10] [10] LIN G S,MILAN A,SHEN C H,et al. RefineNet:multi-path refinement networks for high-resolution semantic segmentation［C］//IEEE Conference on Computer Vision and Pattern Recognition,July 21-26,2017,Honolulu,HI,USA.Washington DC:IEEE,2017:1063-1069.

[12] [12] HU J,SHEN L,ALBANIE S,et al.Squeeze-and-excitation networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2020,42(8):2011-2023.

[13] [13] ZHAO H S,SHI J P,QI X J,et al.Pyramid scene parsing network［C］//IEEE Conference on Computer Vision and Pattern Recognition,July 21-26,2017,Honolulu,HI,USA.Washington DC:IEEE, 2017:2881-2890.

[14] [14] CHEN L C,ZHU Y K,PAPANDREOU G,et al.Encoder-decoder with atrous separable convolution for semantic image segmentation［C］//European Conference on Computer Vision,September 8-14,2018,Munich,Germany.Berlin:Springer,2018:833-851.

[15] [15] PENG C,ZHANG X Y,YU G,et al. Large kernel matters: improve semantic segmentation by global convolutional network［C］//IEEE Conference on Computer Vision and Pattern Recognition,July 21-26, 2017,Honolulu,HI,USA.Washington DC:IEEE,2017:1743-1751.

[16] [16] YU C Q,WANG J B,PENG C,et al.Learning a discriminative feature network for semantic segmentation［C］//IEEE Conference on Computer Vision and Pattern Recognition,June 18-23,2018,Salt Lake City,UT,USA. Washington DC:IEEE,2018:1857-1866.