论文阅读笔记：Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation
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[En]
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主要贡献：提出了一种基于位置先验和聚类的自注意模块(PCAM)，且 PCAM 可以
灵活地插入网络，具有更少的 GPU 内存消耗和计算负担。
PCAM 分为三个部分: 位置先验模块，基于聚类的模块和自注意模块
; Position-prior 模块
设计了位置先验模块来排除侧输出的 false positives，以提高特征聚类的准确性。
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[En]
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基于聚类的模块
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[En]
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[En]
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Original: https://blog.csdn.net/weixin_44085432/article/details/126411118
Author: weixin_44085432
Title: 论文阅读笔记：Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation
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