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Dual cross-attention Transformer network for few-shot image semantic segmentation
Image Processing | 更新时间：2024-11-28

    • Dual cross-attention Transformer network for few-shot image semantic segmentation

    • “In the field of image semantic segmentation, researchers have proposed a small sample segmentation method based on dual cross attention network, which effectively improves the performance of new category segmentation.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 11, Pages: 1494-1505(2024)

    • DOI：10.37188/CJLCD.2024-0151    

      CLC： TP391.4

    • Received：22 May 2024，

      Revised：30 June 2024，

      Published：05 November 2024

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  • LIU Yu, GUO Yingchun, ZHU Ye, et al. Dual cross-attention Transformer network for few-shot image semantic segmentation[J]. Chinese journal of liquid crystals and displays, 2024, 39(11): 1494-1505. DOI： 10.37188/CJLCD.2024-0151.

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