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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。
The text was updated successfully, but these errors were encountered:
CBAM这部分代码没上传
Sorry, something went wrong.
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
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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。
The text was updated successfully, but these errors were encountered: