Opto-Electronic Engineering, Volume. 51, Issue 1, 230304-1(2024)

Design of Swin Transformer for semantic segmentation of road scenes

Hao Hang, Yingping Huang*, Xurui Zhang, and Xin Luo
Author Affiliations
  • School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
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    References(26)

    [7] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C], 6000-6010(2017).

    [11] Chen L C, Papandreou G, Kokkinos I et al. Semantic image segmentation with deep convolutional nets and fully connected CRFs[C](2015).

    [15] Dosovitskiy A, Beyer L, Kolesnikov A et al. An image is worth 16x16 words: transformers for image recognition at scale[C](2021).

    [21] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C], 1106-1114(2012).

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    Hao Hang, Yingping Huang, Xurui Zhang, Xin Luo. Design of Swin Transformer for semantic segmentation of road scenes[J]. Opto-Electronic Engineering, 2024, 51(1): 230304-1

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    Paper Information

    Category: Article

    Received: Dec. 14, 2023

    Accepted: Jan. 24, 2024

    Published Online: Apr. 19, 2024

    The Author Email: Yingping Huang (黄影平)

    DOI:10.12086/oee.2024.230304

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