pixel attention
时间: 2023-08-07 09:07:29 浏览: 105
像素注意力(Pixel Attention)是特征注意力机制(Feature Attention)中的一部分,它用于生成hxwxc维度的注意力权重,其中h和w分别表示图像的高度和宽度,c表示通道数。通过像素注意力机制,网络可以自适应地学习不同特征映射的权重,使得网络更加关注高频和浓密的像素区域,从而提高图像去雾网络对雾度分布不均匀和加权通道的处理能力。\[2\]\[3\]
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- *1* *3* [论文笔记:FFA-Net Feature Fusion Attention Network for Single Image Dehazing](https://blog.csdn.net/qq_46688314/article/details/109083866)[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* [ECCV2020Workshop-PAN-270k参数量SISR网络 | Efficient Image Super-Resolution Using Pixel Attention](https://blog.csdn.net/weixin_42096202/article/details/108961388)[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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