360SFUDA++:通过学习可靠的类型原型来实现全景细分的无源UDA

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Updated: Jul 10, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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Xu Zheng, Peng Yuan Zhou, Athanasios V Vasilakos

    IEEE transactions on pattern analysis and machine intelligence
    |November 4, 2024
    PubMed
    概括

    本研究介绍了360SFUDA++用于语义细分的无源无监督域调整,使知识从针孔转移到全景图像. 该方法克服了领域差距,使用新的投影和适应模块来提高性能.

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