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看res2net的layer1部分:26*4 = 104 ==conv1x1==> 256 想减小通道数,把256 改成 64 请问,可以把26改成13,或者更小吗?会有什么不好的影响吗
比如下面: ① 134 = 52 ==conv1x1==> 64 ② 74 = 28 ==conv1x1==> 64 谢谢
The text was updated successfully, but these errors were encountered:
通道数可以减少,但是一般情况下由于参数量下降性能也会相应的下降。
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多谢回复~ 尝试改成 7,发现训练的曲线跟13和26基本吻合。 可能是我的场景下,特征比较容易提取。 请问,有对比过不同通道数对性能指标的影响吗?有可以参考的论文吗? 谢谢~
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看res2net的layer1部分:26*4 = 104 ==conv1x1==> 256
想减小通道数,把256 改成 64
请问,可以把26改成13,或者更小吗?会有什么不好的影响吗
比如下面:
① 134 = 52 ==conv1x1==> 64
② 74 = 28 ==conv1x1==> 64
谢谢
The text was updated successfully, but these errors were encountered: