Comments (5)
Hi @luuil ,
Sorry for the delay of releasing the segmentation code. Our code is mostly based on the code in the CIRKD repo.
We will release our segmentation code this week (within 1~2 days if everything goes well).
Thanks,
Tao
from dist_kd.
Hi @luuil ,
Sorry for the delay of releasing the segmentation code. Our code is mostly based on the code in the CIRKD repo.
We will release our segmentation code this week (within 1~2 days if everything goes well).
Thanks, Tao
Hi @luuil ,
We have released the segmentation code. You can check the segmentation folder in this repo for instructions.
If you have any question about the code or our paper, please feel free to contact us.
Best,
Tao
from dist_kd.
Thank you for releasing so quickly.
By the way, I have another question.
As you mentioned in chapter Appendix-A.5-Limitations
of your paper
it would be less-effective on binary classification task
And I am working on a binary mask segmentation task(that is, for a input image, the goal of the task is to segment the fore&back ground)
What do you suggest for this?
from dist_kd.
The binary classification tasks are often easily to be converged, and thus the prediction scores are very close to 0 or 1 (like one-hot labels). As a result, the teacher's logits have less relation information to be transferred than the challenging multi-task classification.
However, you can still try DIST and see if it is better than the conventional KD loss :)
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Thanks for the suggestion, I'll give it a try.
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Related Issues (8)
- About student checkpoint HOT 4
- ModuleNotFoundError: No module named 'dataset' HOT 2
- About the KD Loss on the RetinaNet One-Stage Object Detectors HOT 2
- How could I apply this KD method to other segmentation teacher/student models? HOT 2
- After the 3rd epoch it breaks down HOT 4
- How to train with custom datasets ? HOT 7
- The Segmentation of val mIoU is not 74.21 --->77.10,which is using DIST KD method based on DeepLabV3-ResNet18 HOT 5
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