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Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)

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I followed the repo and download the pretrained model to test the test-subset of apollo. However, the test set have not labels while in your voc_aug_test.py, it has to contains...

When I run train_xxx.py in Windows, those Error occur: ImportError:_ No module named 'models.sync_bn._ext.sync_bn_lib._sync_bn_lib' This error in line ._sync_bn_lib import lib as _lib, ffi as _ffi In Windows, python can...

Hi, thank you for your codes.when I run the sh test sh test_pspnet_multi_scale.sh, A problem that "Import Error: libpython3.5m.so.1.0:cannot open shared object file:No such file or directory“ occured, could you...

The F1-measure of ERFNet on your paper is 70.2, but on [ERFNet-CULane-PyTorch](https://github.com/cardwing/Codes-for-Lane-Detection/blob/master/ERFNet-CULane-PyTorch/README.md#testing) it is 73.1, even better than it with IntRA-KD. What's the difference between them? ![image](https://user-images.githubusercontent.com/67251954/137288288-b26ccbff-89be-4640-86d1-1d3bb875b678.png) ![image](https://user-images.githubusercontent.com/67251954/137288321-d2bc8021-c75e-4a39-96c9-f5b940800d44.png)

The example codes of IntRA-KD are given as follows. The following implementation is slightly different from the original paper and may cause numerical instability in some cases. You may need...

When you do ERFNet-SAD, can you tell me exactly which layer learns from which? I've tried to implement ERFNet-SAD but can't find a way at it, at the moment. cc...

I read your paper, but l am not sure where and which layer or layers to be embedded into a KD?

The mean of moment pooling is whether to calculate the moment of single-channel or the moment of each region by the label mask? Can you offer the code for this...

Do you have a plan to update pytorch version? Current version 0.3.0 is too old. My pytorch version is 1.5.0 and gets the following error: File "/home/test/anaconda3/envs/dl/lib/python3.7/site-packages/torch/utils/ffi/__init__.py", line 1, in...

thanks for your sharing codes ! looking forward to the training codes of IntRA-KD,wish you can finish successfully and quickly!