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Multiple attention relation network for few-shot learning

delete2025-06-26
delete0
PRE
AI
N
Na Lü
Z
Zhiyan Cui
H
Huiyang Hu
W
Weifeng Wang
DOI：10.1016/j.asoc.2025.113477delete
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摘要

摘要

En 中文
• 将空间注意力和通道注意力引入基于关系网络的残差模块中，以融合局部和全局空间信息，以及通道内和通道间信息。 • 结合自注意力与交叉注意力机制，提取用于分类的显著和判别特征，从而增强模型的可比性。 • 采用ASPP获取跨不同感受野尺寸的多尺度特征。 • 在mini-ImageNet和CUB-200上的实验表明，所提出的方法达到了当前最优性能。

期刊

Applied Soft Computing 封面图
Applied Soft Computing
IF:
6.6
论文数:
1.4W
被引数:
4.8W

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引用论文

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