scale-deep
时间: 2023-08-19 08:10:34 浏览: 47
回答: 在引用的论文中,"scale-deep"是指在图像去模糊任务中使用的一种多尺度和多层级的描述符。这个描述符是通过将每个阶段生成的特征连接起来形成的,并使用层次注意机制来调整特征的权重。通过计算特征的平均强度来衡量可分辨性,并使用全连接层获取可训练的注意力图。最终,通过使用残差图来保存主要的多尺度和多层级特征。这种方法类似于另一篇论文《Deep Stacked Hierarchical Multi-patch Network for Image Deblurring》,只是在结构上有所展开。\[2\]\[3\]
#### 引用[.reference_title]
- *1* *3* [论文阅读笔记之——《Scale-recurrent Network for Deep Image Deblurring》](https://blog.csdn.net/gwplovekimi/article/details/93170926)[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]
- *2* [Multi-Scale Deep Feature Fusion for Vehicle Re-Identification翻译(IEEE2020)](https://blog.csdn.net/weixin_42666085/article/details/105492304)[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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