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您好,我是用rsenet50训练一个缺陷分类模型时,使用预训练的imagenet模型训练时,测试集分类精度很高,但使用layercam获取浅层的cam存在很多噪声;相反,不使用预训练的imagenet模型训练时,测试集分类精度低很多,但使用layercam获取浅层的cam的噪声少,想请教一下您这是为什么?后者分类精度低是我学习率设置的有问题吗
The text was updated successfully, but these errors were encountered:
你好,有不同层的cam图和实验细节吗? 可以发我邮箱,我先看下。
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您好,我是用rsenet50训练一个缺陷分类模型时,使用预训练的imagenet模型训练时,测试集分类精度很高,但使用layercam获取浅层的cam存在很多噪声;相反,不使用预训练的imagenet模型训练时,测试集分类精度低很多,但使用layercam获取浅层的cam的噪声少,想请教一下您这是为什么?后者分类精度低是我学习率设置的有问题吗
The text was updated successfully, but these errors were encountered: