-
Notifications
You must be signed in to change notification settings - Fork 42
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
请教一下batch_size的设定是否对小样本分割有影响 #56
Comments
有影响但不显著,voc数据集大概在1个点左右。如果改动不是很多的话一般与baseline保持相同设置即可。在方案确定后也可以尝试做一下消融确定适合自己网络的超参。 |
好的 谢谢了 |
抱歉又要打扰你了,我对两阶段的训练方式不太理解,比如在spilt0(1-5类别),第一阶段训练完成之后,是生成了6-20类别的分割图继续用于第二阶段吗,我这样理解的对吗 |
是的 训练了能够提供基类预测的base-learner |
请问如果我自meta learner 里面做改动 是否还需要重新训练base learner 呢? |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
作者你好,请教一下,我用3090的显卡可以设置成batch_size为16。但是我看其他论文即使是用的性能更好的显卡,但是batch_size普遍设置成4或者8,我想问一下batch_size的大小对小样本分割的结果影响大嘛?感谢!
The text was updated successfully, but these errors were encountered: