Skip to content
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

能否解释下,为什么你在进行推理精度的时候,仍然使用辅助分割头? #109

Closed
085410 opened this issue Dec 17, 2024 · 0 comments

Comments

@085410
Copy link

085410 commented Dec 17, 2024

image
如图,你给出的源码在推理阶段仍然采用get_seg_model的方法来返回model对象,在模型底层设置的argument参数永远是True,在Fullmodel这个类里面返回的[x_extra_p, x_bag],这样也就解释了你设置输出nums数目为2,测试时的索引为1,我没理解错误的话,应该是要获取x_bag的结果吧?但是,推理阶段按照论文的说法,不应该只保留x_bag这一个结果吗?如果你仍然采用get_seg_model来获取测试时的结果,是不是说明辅助分支也影响到了推理精度?只不过在单纯速度的推理指标方面,你舍弃了辅助分割头吧

@085410 085410 closed this as completed Dec 17, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant