[1]WANG Xiaotang,YAN He,LIU Jianqi,et al.A new deeplabv3+ semantic segmentation model of edge gradient interpolation with double branch structure[J].CAAI Transactions on Intelligent Systems,2023,18(3):604-612.[doi:10.11992/tis.202111023]
Copy

A new deeplabv3+ semantic segmentation model of edge gradient interpolation with double branch structure

References:
[1] CHEN L C, PAPANDREOU G, KOKKINOS I, et al. Semantic image segmentation with deep convolutional nets and fully connected CRFs[EB/OL]. (2014?12?22)[2021?11?12].https://arxiv.org/abs/1412.7062. 2014.
[2] 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, 2018, 40(4): 834–848.
[3] CHEN L C, PAPANDREOU G, SCHROFF F, et al. Rethinking atrous convolution for semantic image segmentation[EB/OL]. (2017?06?17) [2021?11?12].https://arxiv.org/abs/1706.05587.
[4] CHEN L C, ZHU Yukun, PAPANDREOU G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[C]//European Conference on Computer Vision. Cham: Springer, 2018: 833?851.
[5] HE K, ZHANG X, REN S, et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE transactions on pattern analysis and machine intelligence, 2015, 37(9): 1904–1916.
[6] 任凤雷, 何昕, 魏仲慧, 等. 基于DeepLabV3+与超像素优化的语义分割[J]. 光学精密工程, 2019, 27(12): 2722–2729
REN Fenglei, HE Xin, WEI Zhonghui, et al. Semantic segmentation based on DeepLabV3+ and superpixel optimization[J]. Optical precision engineering, 2019, 27(12): 2722–2729
[7] 吴涛, 董肖莉, 孟伟, 等. 基于语义分割的简洁线条肖像画生成方法[J]. 智能系统学报, 2021, 16(1): 134–141
WU Tao, DONG Xiaoli, MENG Wei, et al. Concise line portrait generation method based on semantic segmentation[J]. CAAI transactions on intelligent systems, 2021, 16(1): 134–141
[8] RUKUNDO O, CAO HANQIANG. Nearest neighbor value interpolation[EB/OL]. (2012?11?08)[2021?11?12].https://arxiv.org/abs/1211.1768.
[9] KIRKLAND E J. Bilinear interpolation[M]// Advanced Computing in Electron Microscopy. Boston: Springer, 2010: 261?263.
[10] HUANG Zhengzhong, CAO Liangcai. Bicubic interpolation and extrapolation iteration method for high resolution digital holographic reconstruction[J]. Optics and lasers in engineering, 2020, 130: 106090.
[11] RUKUNDO O. Effects of improved floor function on the accuracy of bilinear interpolation algorithm[EB/OL]. (2021?04?08)[2021?11?12].https://arxiv.org/abs/2104.03646.
[12] 王庆, 唐涛, 项德良, 等. 基于梯度比率的SAR图像局部特征提取方法研究[J]. 智能系统学报, 2017, 12(3): 286–292
WANG Qing, TANG Tao, XIANG Deliang, et al. Research on local feature extraction of SAR images based on gradient ratio[J]. CAAI transactions on intelligent systems, 2017, 12(3): 286–292
[13] 伍锡如, 凌星雨. 基于改进的Faster RCNN面部表情检测算法[J]. 智能系统学报, 2021, 16(2): 210–217
WU Xiru, LING Xingyu. Facial expression recognition based on improved Faster RCNN[J]. CAAI transactions on intelligent systems, 2021, 16(2): 210–217
[14] 徐聪, 王丽. 基于改进DeepLabv3+网络的图像语义分割方法[J]. 激光与光电子学进展, 2021, 58(16): 1610008
XU Cong, WANG Li. Image semantic segmentation method based on improved DeepPlabv 3+Network[J]. Laser & optoelectronics progress, 2021, 58(16): 1610008
[15] 王兴武, 雷涛, 王营博, 等. 基于多模态互补特征学习的遥感影像语义分割[J]. 智能系统学报, 2022, 17(6): 1123–1133
WANG Xingwu, LEI Tao, WANG Yingbo, et al. Semantic segmentation of remote sensing image based on multimodal complementary feature learning[J]. CAAI transactions on intelligent systems, 2022, 17(6): 1123–1133
[16] PANDA J, MEHER S. An efficient image interpolation using edge-error based sharpening[C]//2020 IEEE 17th India Council International Conference. New Delhi: IEEE, 2021: 1?6.
[17] VINCENT O, FOLORUNSO O. A descriptive algorithm for sobel image edge detection[C]//Proceedings of the 2009 InSITE Conference. Washington: Informing Science Institute. 2009, 40: 97?107.
[18] HOUBRECHTS K, DAS R, KEUPERS M, et al. A complete procedure to prepare virtual clinical trials in digital breast tomosynthesis[C]//Proceedings Volume 12463, Medical Imaging 2023: Physics of Medical Imaging. San Diego: SPIE. 2023, 12463: 267?274.
[19] HUANG Zhengzhong, CAO Liangcai. Bicubic interpolation and extrapolation iteration method for high resolution digital holographic reconstruction[J]. Optics and lasers in engineering, 2020, 130: 106090.
[20] HORé A, ZIOU D. Image quality metrics: PSNR vs. SSIM[C]//2010 20th International Conference on Pattern Recognition. Istanbul: IEEE, 2010: 2366?2369.
[21] HAENDEL A, ANDERSON J G, PILZ M, et al. A frequency-dependent model for the shape of the Fourier amplitude spectrum of acceleration at high frequencies[J]. Bulletin of the seismological society of America, 2020, 110(6): 2743–2754.
[22] YU Lei, DENG Qiuyue, LIU Bin, et al. Dual-branch feature learning network for single image super-resolution[J]. Multimedia tools and applications, 2023: 1?18.
[23] EVERINGHAM M, ALI ESLAMI S M, VAN GOOL L, et al. The pascal visual object classes challenge: a retrospective[J]. International journal of computer vision, 2015, 111(1): 98–136.
[24] LI YUANZHI, WEI C, MA TENGYU. Towards explaining the regularization effect of initial large learning rate in training neural networks[EB/OL]. (2019?07?10)[2021?11?12].https://arxiv.org/abs/1907.04595.
[25] LIN T Y, GOYAL P, GIRSHICK R, et al. Focal loss for dense object detection[C]//2017 IEEE International Conference on Computer Vision. Venice: IEEE, 2017: 2999?3007.
Similar References:

Memo

-

Last Update: 1900-01-01

Copyright © CAAI Transactions on Intelligent Systems