[1] 魏云超,赵耀.基于DCNN的图像语义分割综述[J].北京交通大学学报,2016,40(4):82-91. WEI Y C,ZHAO Y.A review on image semantic segmentation based on DCNN[J].Journal of Beijing Jiaotong University,2016,40(4):82-91.(in Chinese)
[2] 易盟,隋立春.基于改进全卷积神经网络的航拍图像语义分类方法[J].计算机工程,2017,43(10):216-221. YI M,SUI L C.Aerial image semantic classification method based on improved full convolution neural network[J].Computer Engineering,2017,43(10):216-221.(in Chinese)
[3] SIAM M,ELKERDAWY S,JAGERSAND M,et al.Deep semantic segmentation for automated driving:taxonomy,roadmap and challenges[C]//Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems.Washington D.C.,USA:IEEE Press,2017:1-8.
[4] 曾碧,黄文.一种融合多特征聚类集成的室内点云分割方法[J].计算机工程,2018,44(3):281-286. ZENG B,HUANG W.An indoor point cloud segmentation method combining multi-feature clustering integration[J].Computer Engineering,2018,44(3):281-286.(in Chinese)
[5] 于旭宅,王瑞瑞,陈伟杰.改进分水岭算法在无人机遥感影像树冠分割中的应用[J].福建农林大学学报(自然科学版),2018,47(4):428-434. YU X Z,WANG R R,CHEN W J.Forest canopy segmentation of UAV remote sensing images using improved watershed algorithm[J].Journal of Fujian Agriculture and Forestry University(Natural Science Edition),2018,47(4):428-434.(in Chinese)
[6] SHI J,MALIK J.Normalized cuts and image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(8):888-905.
[7] VINCENT L,SOILLE P.Watersheds in digital spaces:an efficient algorithm based on immersion simulations[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,1991,13(6):583-598.
[8] ACHANTA R,SHAJI A,SMITH K,et al.SLIC superpixels compared to state-of-the-art superpixel methods[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(11):2274-2282.
[9] 罗嗣卿,张志超,岳琪.基于改进SEGNET模型的图像语义分割[J].计算机工程,2021,47(4):256-261. LUO Siqing,ZHANG Zhichao,YUE Qi.Semantic image segmentation based on improved SEGNET model[J].Computer Engineering,2021,47(4):256-261.(in Chinese)
[10] LONG J,SHELHAMER E,DARRELL T.Fully convolutional networks for semantic segmentation[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:3431-3440.
[11] 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.
[12] PASZKE A,CHAURASIA A,KIM S,et al.ENet:a deep neural network architecture for real-time semantic segmentation[EB/OL].[2020-03-20].https://arxiv.org/abs/1606.02147.
[13] YU F,KOLTUN V.Multi-scale context aggregation by dilated convolutions[EB/OL].[2020-03-20].https://arxiv.org/abs/1511.07122.
[14] ZHAO H,SHI J,QI X,et al.Pyramid scene parsing network[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2017:2881-2890.
[15] 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,2017,40(4):834-848.
[16] CHEN L C,PAPANDREOU G,SCHROFF F,et al.Rethinking atrous convolution for semantic image segmentation[EB/OL].[2020-03-20].https://arxiv.org/abs/1706.05587.
[17] CHEN L C,ZHU Y K,PAPANDREOU G,et al.Encoder-decoder with atrous separable convolution for semantic image segmentation[C]//Proceedings of IEEE ECCV'18.Washington D.C.,USA:IEEE Press,2018:801-808.
[18] CHEN L C,PAPANDREOU G,KOKKINOS I,et al.Semantic image segmentation with deep convolutional nets and fully connected CRFs[EB/OL].[2020-03-20].https://arxiv.org/abs/1412.7062.
[19] HUANG Q,XIA C,ZHENG W,et al.Object boundary guided semantic segmentation[C]//Proceedings of IEEE ACCV'16.Washington D.C.,USA:IEEE Press,2016:197-212.
[20] KITTLER J.On the accuracy of the Sobel edge detector[J].Image and Vision Computing,1983,1(1):37-42.
[21] CANNY J.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679-698.
[22] GANIN Y,LEMPITSKY V.N4-Fields:neural network nearest neighbor fields for image transforms[EB/OL].[2020-03-20].https://arxiv.org/abs/1406.6558.
[23] BERTASIUS G,SHI J,TORRESANI L.DeepEdge:a multi-scale bifurcated deep network for top-down contour detection[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:4380-4389.
[24] SHEN W,WANG X,WANG Y,et al.DeepContour:a deep convolutional feature learned by positive-sharing loss for contour detection[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:3982-3991.
[25] XIE S,TU Z.Holistically-nested edge detection[C]//Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:1395-1403.
[26] LIU Y,CHENG M M,HU X,et al.Richer convolutional features for edge detection[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2017:3000-3009.
[27] LYU H,FU H,HU X,et al.ESNet:edge-based segmentation network for real-time semantic segmentation in traffic scenes[C]//Proceedings of IEEE International Conference on Image Processing.Washington D.C.,USA:IEEE Press,2019:1855-1859.
[28] 杨威,张建林,徐智勇,等.一种改进的FocalLos在语义分割上的应用[J].半导体光电,2019,40(4):555-559. YANG E,ZHANG J L,XU Z Y,et al.An improved Focal Loss function for semantic segmentation[J]. Semiconductor Optoelectronics,2019,40(4):555-559.(in Chinese)
[29] CAO G,XIE X,YANG W,et al.Feature-fused SSD:fast detection for small objects[C]//Proceedings of the 9th International Conference on Graphic and Image Processing.Washington D.C.,USA:IEEE Press,2018:106-151.
[30] SACHIN M.ESPNetv2:Light-weighta,efficientpower, and general purpose convolutional neural network[EB/OL].[2020-03-20].https://arxiv.org/abs/1811.11431.
[31] SANDLER M,HOWARD A,ZHU M L,et al.MobileNetV2:inverted residuals and linear bottlenecks[EB/OL].[2020-03-20].https://arxiv.org/abs/1801.04381. |