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你好,这个*local的类里面的base_size为什么设置成train size的1.5倍,还有这个base_size是什么意思呢,train_size是只网络训练的时候的数据尺寸吗?谢谢
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你好,抱歉现在才回复你
base_size可以理解为测试时“虚拟的数据裁切尺寸(local window)”。它并不会真的让网络在测试时裁切原始数据,但会影响“数据统计操作”的感受野。例如,SE中的avgpool的pool size。 它是一个超参数,可以根据需要进行设置。默认设置为训练数据尺寸(train_size)的1.5倍。该超参数是两方面的权衡:
因此默认值根据经验设置为1.5来平衡正面影响和负面影响。具体实验和解释见论文章节4.2
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你好,这个*local的类里面的base_size为什么设置成train size的1.5倍,还有这个base_size是什么意思呢,train_size是只网络训练的时候的数据尺寸吗?谢谢
The text was updated successfully, but these errors were encountered: