• Laser & Optoelectronics Progress
  • Vol. 60, Issue 2, 0215004 (2023)
Zhaozhong Xu1, Li Peng1,2,*, and Feifei Dai3
Author Affiliations
  • 1Engineering Research Center of Internet of Things Technology Applications, School of IoT Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China
  • 2Jiangsu Province Internet of Things Application Technology Key Construction Laboratory, Wuxi Taihu College, Wuxi 214122, Jiangsu, China
  • 3Taizhou Product Quality and Safety Monitoring Institute, Taizhou 318000, Zhejiang, China
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    DOI: 10.3788/LOP212814 Cite this Article Set citation alerts
    Zhaozhong Xu, Li Peng, Feifei Dai. Semantic Segmentation Method Based on Multiscale Feature Alignment and Aggregation[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0215004 Copy Citation Text show less
    References

    [1] Wang L F, Yan C M. Review on semantic segmentation of road scenes[J]. Laser & Optoelectronics Progress, 58, 1200002(2021).

    [2] Csurka G, Perronnin F. An efficient approach to semantic segmentation[J]. International Journal of Computer Vision, 95, 198-212(2011).

    [3] Zhang H, Qiu D W, Feng Y B et al. Improved U-net models and its applications in medical image segmentation: a review[J]. Laser & Optoelectronics Progress, 59, 1200002(2022).

    [4] An Z, Xu X P, Yang J H et al. Design of augmented reality head-up display system based on image semantic segmentation[J]. Acta Optica Sinica, 38, 0710004(2018).

    [5] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C], 3431-3440(2015).

    [6] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[EB/OL]. https://arxiv.org/abs/1409.1556

    [7] Lu H, Dai Y T, Shen C H et al. Indices matter: learning to index for deep image matting[C], 3265-3274(2019).

    [8] Jaderberg M, Simonyan K, Zisserman A et al. Spatial transformer networks[C], 2017-2025(2015).

    [9] Mazzini D. Guided upsampling network for real-time semantic segmentation[C], 117(2018).

    [10] Li X T, You A S, Zhu Z et al. Semantic flow for fast and accurate scene parsing[M]. Vedaldi A, Bischof H, Brox T, et al. Computer vision-ECCV 2020, 12346, 775-793(2020).

    [11] Huang Z L, Wei Y C, Wang X G et al. AlignSeg: feature-aligned segmentation networks[EB/OL]. https://arxiv.org/abs/2003.00872

    [12] Misra D. Mish: a self regularized non-monotonic activation function[EB/OL]. https://arxiv.org/abs/1908.08681

    [13] Zhang Z H, Fang W, Du L L et al. Semantic segmentation of remote sensing image based on encoder-decoder convolutional neural network[J]. Acta Optica Sinica, 40, 0310001(2020).

    [14] Chen L C, Papandreou G, Kokkinos I et al. Semantic image segmentation with deep convolutional nets and fully connected CRFs[EB/OL]. https://arxiv.org/abs/1412.7062

    [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, 40, 834-848(2018).

    [16] Chen L C, Papandreou G, Schroff F et al. Rethinking atrous convolution for semantic image segmentation[EB/OL]. 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[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer Vision-ECCV 2018, 11211, 833-851(2018).

    [18] He K M, Zhang X Y, Ren S Q et al. Delving deep into rectifiers: surpassing human-level performance on ImageNet classification[C], 1026-1034(2015).

    [19] Ramachandran P, Zoph B, Le Q V. Swish: a self-gated active function[EB/OL]. https://arxiv.org/abs/1710.05941v1

    [20] 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, 39, 2481-2495(2017).

    [21] Zhao H S, Shi J P, Qi X J et al. Pyramid scene parsing network[C], 6230-6239(2017).

    [22] Zhao X, Bai Y, Ni Y T et al. A review of semantic segmentation algorithm based on deep learning[J]. Aerospace Shanghai, 36, 71-82(2019).

    Zhaozhong Xu, Li Peng, Feifei Dai. Semantic Segmentation Method Based on Multiscale Feature Alignment and Aggregation[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0215004
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