[1] 陈鸿翔.基于卷积神经网络的图像语义分割[D].杭州:浙江大学,2016.
[2] Thoma M.A survey of semantic segmentation[J].IEEE Access,2016,5:1-11.
[3] 陈天华,郑司群,于峻川.采用改进DeepLab网络的遥感图像分割[J].测控技术,2018,37(11):40-45. CHEN Tianhua,ZHEN Siqun,YU Junchuan.Remote sensing image segmentation based on improved deeplab network[J].Measurement and Control Technology,2018,37(11):40-45.(in Chinese)
[4] Siam M,Elkerdawy S,Jagersand M,et al.Deep semantic segmentation for automated driving:Taxonomy,roadmap and challenges[J].IEEE Access,2017,1:1-8.
[5] 李琳辉,钱波,连静,等.基于卷积神经网络的交通场景语义分割方法研究[J].通信学报,2018,39(4):123-130. LI Linhui,QIAN Bo,LIAN Jing,et al.Study on traffic scene semantic segmentation method based on convolutional neural network[J].Journal of Communications,2018,39(4):123-130.(in Chinese)
[6] Zeng Z,Xie W,Zhang Y,et al.RIC-Unet:Animproved neural network based on Unet for nuclei segmentation in histology images[J].IEEE Access,2019,7:21420-21428.
[7] 林志伟,涂伟豪,黄嘉航,等.深度语义分割的无人机图像植被识别[J].山地学报,2018,36(6):953-963.
[8] Malmberg F,Lindblad J,Sladoje N,Nystrom I.A graph-based framework for sub-pixel image segmentation[J].Theoretical Computer Science,2011,412(15):1338-1349.
[9] Mahipal S C,Rajiv K.Performance Analysis of fuzzy C-means clustering methods for MRI image segmentation[J].Procedia Computer Science,2016,89:749-758.
[10] Geman S.Stochastic relaxation,Gibbs distribution,and Bayesian restoration of images[J].IEEE Trans Pattern Anal Mach Intell,1984,6(6):721-741.
[11] Caesar H,Uijlings J,Ferrari V.Region-based semantic segmentation with end-to-end training[J].IEEE Access,2016,4:1-13.
[12] Long J,Shelhamer E,Darrell T.Fullyconvolutional networks for semantic segmentation[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2014,39(4):640-651.
[13] Simonyan K,Zisserman A.VeryDeep Convolutional Networks for Large-scale Image Recognition[EB/OL].https://arxiv.org/abs/1409.1556,2014.
[14] Szegedy C,Liu W,Jia Y,et al.Going Deeper With Convolutions[EB/OL].https://arxiv.org/abs/1409.4842,2014.
[15] Yu F,Koltun V.Multi-scale Context Aggregation by Dilated Convolutions[EB/OL].https://arxiv.org/abs/1511.07122,2014.
[16] Ronneberger O,Fischer P,Brox T.U-Net:convolutional networks for biomedical image segmentation[J].IEEE Access,2015,11:1-10.
[17] He K,Zhang X,Ren S,et al.Deepresidual learning for image recognition[J].IEEE Access,2015,9:1-16.
[18] 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 & Machine Intelligence,2016,40(4):834-848.
[19] Chen L C,Papandreou G,Schroff F,et al.Rethinking Atrous Convolution for Semantic Image Segmentation[EB/OL].https://arxiv.org/abs/1706.05587,2017.
[20] Zhao H,Shi J,Qi X,et al.Pyramidscene parsing network[J].IEEE Access,2016,9:1-13.
[21] Hu J,Shen L,Albanie S,et al.Squeeze-and-excitation Networks[EB/OL].https://arxiv.org/abs/1709.01507,2019.
[22] Yu C,Wang J,Peng C,et al.Learning adiscriminative feature network for semantic segmentation[J].IEEE Access,2018,3:1-11.
[23] Badrinarayanan V,Kendall A,Cipolla R.SegNet:a deep convolutional encoder-decoder architecture for image segmentation[J].IEEE Access,2015,7:1-18.
[24] He K,Zhang X,Ren S,et al.Identitymappings in deep residual networks[J].IEEE Access,2016,11:1-9.
[25] Huang G,Sun Y,Liu Z,et al.Deepnetworks with stochastic depth[J].IEEE Access,2016,4:1-8.
[26] Howard A G,Zhu M,Chen B,et al.MobileNets:efficient convolutional neural networks for mobile vision applications[J].IEEE Access,2017,6:1-14.
[27] Sandler M,Howard A,Zhu M,et al.Mobile NetV2:inverted residuals and linear bottlenecks[J].IEEE Access,2018,5:1-12.
[28] Zhao H,Qi X,Shen X,et al.ICNet forreal-time semantic segmentation on high-resolution images[J].IEEE Access,2017,3:1-21.
[29] Abadi,Martín,Agarwal,Ashish,Barham,Paul,Brevdo,et al.TensorFlow:large-scale machine learning on heterogeneous distributed systems[J].IEEE Access,2016,7:1-46.
[30] Hanchao Li,Pengfei Xiong,Haoqing Fan,Jian Sun.DFANet:Deep Feature Aggregation for Real-time Semantic Segmentation[EB/OL].https://arxiv.org/abs/1904.02216,2019.
[31] Hengshuang Zhao,XiaoJuan Qi,Xiaoyong Shen,Jianping Shi,Jiaya Jia.ICNet forreal-time semantic segmentation on high-resolution images[A].15th European Conference on Computer Vision[C].New York:IEEE,2018.418-434.
[32] Yu Wang,Quan Zhou,Xiaofu Wu.ESNet:An Efficient Symmetric Network for Real-time Semantic Segmentation[EB/OL].https://arxiv.org/abs/1906.09826,2019. |