• Electronics Optics & Control
  • Vol. 29, Issue 3, 47 (2022)
SANG Yonglong1、2 and HAN Jun1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2022.03.010 Cite this Article
    SANG Yonglong, HAN Jun. Improved DeepLabV3+ Algorithm for Scene Segmentation[J]. Electronics Optics & Control, 2022, 29(3): 47 Copy Citation Text show less
    References

    [1] LONG J T,SHELHAMER E,DARRELL T.Fully convolutional networks for semantic segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Boston:IEEE,2015:3431-3440.

    [2] 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.

    [3] RONNEBERGER O,FISCHER P,BROX T.U-net:convolutional networks for biomedical image segmentation[C]//International Conference on Medical Image Computing and Computer-assisted Intervention.Cham:Springer,2015:234-241.

    [4] CHEN L C,PAPANDREOU G,KOKKINOS I,et al.Semantic image segmentation with deep convolutional nets and fully connected CRFs[R].Los Alamos: arXiv Preprint,2014:arXiv:1412.7062.

    [5] 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.

    [6] CHEN L C,PAPANDREOU G,SCHROFF F,et al.Rethinking atrous convolution for semantic image segmentation[R].Los Alamos: arXiv Preprint,2017:arXiv:1706.05587.

    [7] CHEN L C,ZHU Y,PAPANDREOU G,et al.Encoder-decoder with atrous separable convolution for semantic image segmentation[C]//Proceedings of the European Conference on Computer Vision (ECCV).Cham:Springer,2018: 801-818.

    [8] ZHONG Z L,LIN Z Q,BIDART R,et al.Squeeze-and-attention networks for semantic segmentation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Seattle:IEEE,2020:13065-13074.

    [9] ZHANG D,ZHANG H,TANG J,et al.Feature pyramid transformer[C]//European Conference on Computer Vision.Cham:Springer,2020:323-339.

    [10] GRAUMAN K,DARRELL T.The pyramid match kernel:discriminnative classification with sets of image features[C]//The IEEE International Conference on Computer Vision(ICCV05).Beijing:IEEE,2005:1458-1465.

    [11] LAZEBNIK S,SCHMID C,PONCE J.Beyond bags of features: spatial pyramid matching for recognizing natural scene categories[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR’06).New York:IEEE,2006:17-22.

    [12] HE K M,ZHANG X Y,REN S Q,et al.Spatial pyramid pooling in deep convolutional networks for visual recognition[M]//FLEET D,PAJDLA T,SCHIELE B,et al.Computer vision-ECCV 2014,lecture notes in computer science.Cham:Springer,2014:346-361.

    [13] HANG H,WU C R,ZHANG Z Y,et al.Resnest:split-attention networks[R].Los Alamos: arXiv Preprint,2020: arXiv:2004.08955.

    [14] HE K M,ZHANG X Y,REN S Q,et al.Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas:IEEE,2016:770-778.

    [15] IOANNOU Y,ROBERTSON D,CIPOLLA R,et al.Deep roots:improving CNN efficiency with hierarchical filter groups[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu:IEEE,2017:1231-1240.

    [16] HUANG G,LIU Z,WEINBERGER K Q,et al.Densely connected convolutional networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu:IEEE,2017:4700-4708.

    [17] CORDTS M,OMRAN M,RAMOS S,et al.The cityscapes dataset for semantic urban scene understanding[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas:IEEE,2016:3213-3223.

    SANG Yonglong, HAN Jun. Improved DeepLabV3+ Algorithm for Scene Segmentation[J]. Electronics Optics & Control, 2022, 29(3): 47
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