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Bi-aggregation and self-merging network for few-shot image semantic segmentation
Image Processing | 更新时间：2024-10-09
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    • Bi-aggregation and self-merging network for few-shot image semantic segmentation

    • “In the field of image semantic segmentation, researchers have proposed a new method that effectively improves the segmentation accuracy of small sample images through dual aggregation and self merging networks, providing new ideas for new object recognition.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 10, Pages: 1421-1430(2024)

    • DOI：10.37188/CJLCD.2024-0074    

      CLC： TP391.4

    • Received：08 March 2024，

      Revised：15 April 2024，

      Published：05 October 2024

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  • LIU Yu, YU Ming, ZHU Ye. Bi-aggregation and self-merging network for few-shot image semantic segmentation[J]. Chinese journal of liquid crystals and displays, 2024, 39(10): 1421-1430. DOI： 10.37188/CJLCD.2024-0074.

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