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Updated: Jan 15, 2026

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基于以类为中心的损失为细粒度视觉分类的特征增强模块

Daohui Wang, He Xinyu, Shujing Lyu

    IEEE transactions on neural networks and learning systems
    |October 9, 2025
    PubMed
    概括

    一个新的功能增强模块通过改进像素级别的功能和使用以类为中心的损失函数来改善细粒度的视觉分类. 这种方法在各种网络架构中提高了准确性,在鸟类和锁筒数据集上展示了强大的性能.

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