-
Notifications
You must be signed in to change notification settings - Fork 13
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
finetune #22
Comments
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
After the training is completed by train_net.py, the terminal prints the verification results on COCO_val. I understand that according to the self-supervised process, you should fix the self-supervised training part of the backbone network, then fine-tune the detection head on the labeled data, and then go to COCO_val to evaluate the performance. But I don't see where InsLoc is fine-tuned training, where is this step achieved? Hope to get your answer
通过train_net.py训练完成后,终端打印了在COCO_val上的验证结果。我理解按照自监督的流程,应该固定自监督训练得到的主干网络部分,然后在有标签数据上微调检测头后,再去COCO_val上评估性能。但我没看到InsLoc是在哪里进行微调训练的,请问这一步是在哪里实现的呢?希望得到您的解答
The text was updated successfully, but these errors were encountered: