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 |Show fewer author(s)
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] A Vaswani, N Shazeer, N Parmar et al. Attention is all you need, 6000-6010(2017).

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

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

    [21] A Krizhevsky, I Sutskever, G E Hinton. ImageNet classification with deep convolutional neural networks, 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: Huang Yingping (黄影平)

    DOI:10.12086/oee.2024.230304

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