We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
很感谢OTA这个工作被提出,省去了FCOS中的很多人工参数的麻烦。 这里我有一个小疑问,就是使用OTA的时候,训练期间的正样本数量是不是会比原生的FCOS少一些?还是说只在训练的早期会少(可能是这个时候模型还没有收敛到一个比较好的性能,致使不好的预测可能会占比多一些)? 期待作者的解答~
The text was updated successfully, but these errors were encountered:
No branches or pull requests
很感谢OTA这个工作被提出,省去了FCOS中的很多人工参数的麻烦。
这里我有一个小疑问,就是使用OTA的时候,训练期间的正样本数量是不是会比原生的FCOS少一些?还是说只在训练的早期会少(可能是这个时候模型还没有收敛到一个比较好的性能,致使不好的预测可能会占比多一些)?
期待作者的解答~
The text was updated successfully, but these errors were encountered: