A Full-Level Context Squeeze-and-Excitation ROI Extractor for SAR Ship Instance Segmentation

被引:0
|
作者
Zhang, Tianwen [1 ]
Zhang, Xiaoling [1 ]
机构
[1] University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu,611731, China
关键词
D O I
暂无
中图分类号
学科分类号
摘要
31
引用
收藏
相关论文
共 13 条
  • [1] A Full-Level Context Squeeze-and-Excitation ROI Extractor for SAR Ship Instance Segmentation
    Zhang T.
    Zhang X.
    Shao Z.
    Zeng T.
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2023, 52 (03): : 357 - 365
  • [2] A Full-Level Context Squeeze-and-Excitation ROI Extractor for SAR Ship Instance Segmentation
    Zhang, Tianwen
    Zhang, Xiaoling
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [3] Contextual Squeeze-and-Excitation Mask R-CNN for SAR Ship Instance Segmentation
    Zhang, Tianwen
    Zhang, Xiaoling
    Li, Jianwei
    Shi, Jun
    2022 IEEE RADAR CONFERENCE (RADARCONF'22), 2022,
  • [4] USING SQUEEZE-AND-EXCITATION VISION TRANSFORMER WITH LOCAL FEATURE FUSION FOR SHIP CLASSIFICATION IN SAR IMAGES
    Qi, Yuhang
    Wang, Lu
    Zhao, Chunhui
    Wang, Ning
    Chen, Jikang
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 7499 - 7502
  • [5] Squeeze-and-Excitation Laplacian Pyramid Network With Dual-Polarization Feature Fusion for Ship Classification in SAR Images
    Zhang, Tianwen
    Zhang, Xiaoling
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [6] Squeeze-and-Excitation Laplacian Pyramid Network with Dual-Polarization Feature Fusion for Ship Classification in SAR Images
    Zhang, Tianwen
    Zhang, Xiaoling
    IEEE Geoscience and Remote Sensing Letters, 2022, 19
  • [7] GCBANet: A Global Context Boundary-Aware Network for SAR Ship Instance Segmentation
    Ke, Xiao
    Zhang, Xiaoling
    Zhang, Tianwen
    REMOTE SENSING, 2022, 14 (09)
  • [8] Related Study Based on Otsu Watershed Algorithm and New Squeeze-and-Excitation Networks for Segmentation and Level Classification of Tea Buds
    Qi, Fang
    Xie, Zuoqi
    Tang, Zhe
    Chen, Huarong
    NEURAL PROCESSING LETTERS, 2021, 53 (03) : 2261 - 2275
  • [9] Related Study Based on Otsu Watershed Algorithm and New Squeeze-and-Excitation Networks for Segmentation and Level Classification of Tea Buds
    Fang Qi
    Zuoqi Xie
    Zhe Tang
    Huarong Chen
    Neural Processing Letters, 2021, 53 : 2261 - 2275
  • [10] Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection
    Song, Taeyong
    Kim, Sunok
    Kim, SungTai
    Lee, Jaeseok
    Sohn, Kwanghoon
    2022 IEEE RADAR CONFERENCE (RADARCONF'22), 2022,