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DLLXW avatar DLLXW commented on June 25, 2024

CBAM这部分代码没上传

from data-science-competition.

DLLXW avatar DLLXW commented on June 25, 2024

由于数据集中存在大量的干扰背景，真正对最终分类结果影响较大的区域占比较小，因此团队在原始的swsl_resnext101_32x8d的基础上添加注意力机制模块CBAM，让模型能够更有效的学到关键区域。

请问这个加入CBAM的代码在哪里?没有找到。

感兴趣可以自己找一下CBAM怎么即插即用到现有的任何网络里面，比较方便

from data-science-competition.

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