-
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
About pretrained model #7
Comments
Hi. The KITTI results only contain our training logs and results under 64x512 inputs. |
@ohosh @huixiancheng I have trained the CENet which can achieve 65 mIoU on SemanticKITTI test set with 64x512 input resolution. The trained model will be put in https://github.com/cardwing/Codes-for-PVKD. |
More powerful range-image-based models built on the awesome CENet will also be put in that repo (70+ mIoU on SemanticKITTI test set). |
@cardwing Incredible. 😮 😱 🙈 That's awesome and amazing work. |
The CENet with 64x512 input resolution has been uploaded to https://github.com/cardwing/Codes-for-PVKD. The reproduced performance (67.6% mIoU) is much higher than the reported value on SemanticKITTI test set. |
Glad to hear this. 👏 👍 |
Is the CENet model with 64x512 in your repository trained with distillation? |
Dear author,
Thanks for the sharing code.
when I use the pretrained model about Kitti result you gave to run the datasets, the results can not reach the effect in your article. I don't know if there is a problem with the model I used, because there are multiple models in the file. I would like to ask which model you used to get the results in your article.
Thanks!
The text was updated successfully, but these errors were encountered: