layerlayer correlation
时间: 2023-08-20 12:13:47 浏览: 52
回答: Layer-layer correlation是指在神经网络中使用的一种层,用于计算两个层之间的相关性。这个层可以通过2D或1D卷积操作来实现,称为correlation layer。与L2距离相比,correlation layer的主要优势在于它不需要经过训练,因为其卷积核参数实质上是来自网络的第二个分支计算得到的特征。correlation layer的作用是衡量两个feature map之间的位置相似性,通过计算两个feature map上不同位置的点之间的相关性来实现。\[1\]\[2\]\[3\]
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- *1* *2* [Correlation Layer](https://blog.csdn.net/PMPWDF/article/details/108987510)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [深度学习基础--卷积--correlation layer(相关联层/互相关层)](https://blog.csdn.net/wydbyxr/article/details/84061628)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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