主要记录了细粒度分类的主要算法模型
论文名称:用于细粒度识别的注意力卷积二叉神经树
论文名称:用于细粒度识别的多分支和多尺度注意力学习
论文提出的问题
-
类间差异小
-
类内变化大
-
Attention object location Module
ALOM
:用于对象的位置预测 -
Attention part proposal
APPM
自己定义的一个网络模型的模板,用于更改
细粒度分类主要模型
主要记录了细粒度分类的主要算法模型
论文名称:用于细粒度识别的注意力卷积二叉神经树
论文名称:用于细粒度识别的多分支和多尺度注意力学习
论文提出的问题
类间差异小
类内变化大
Attention object location Module ALOM
:用于对象的位置预测
Attention part proposal APPM
自己定义的一个网络模型的模板,用于更改
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