CrissCrossAttention注意力机制
时间: 2023-08-12 17:06:43 浏览: 74
CrissCrossAttention注意力机制是一种用于特征图内部的交叉注意力计算方法,旨在捕获不同空间位置上的相关信息。具体实现时,可以将特征图分成不同的块,并在这些块之间进行交叉卷积操作,以实现区域间的交叉信息传递。这种注意力机制可以应用于语义分割等任务中,使网络更加关注待检测目标,从而提高检测效果。\[1\]\[2\]\[3\]
#### 引用[.reference_title]
- *1* [加强版YOLOv8:引入CrissCrossAttention注意力机制](https://blog.csdn.net/wellcoder/article/details/131017139)[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^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [YOLOv5、v7改进之三十一:CrissCrossAttention注意力机制](https://blog.csdn.net/m0_70388905/article/details/127312771)[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^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [加强目标检测模型:YOLOv8系列新增CrissCrossAttention](https://blog.csdn.net/wellcoder/article/details/131028040)[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^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
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