Comments (3)
cardwing
commented on June 12, 2024
1
To my knowledge, the PyTorch-based ERFNet model achieves the best F1-measure on CULane-test. I have tried to find a better teacher but failed. You can have a try.
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cardwing
commented on June 12, 2024
The ERFNet model provided in that GitHub repo is trained with several bells and whistles (e.g., warmup pretraining, finetuning, etc). In our CVPR paper, we use the Torch-based ERFNet and it has much lower performance compared with the PyTorch version.
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Yibin122
commented on June 12, 2024
Then did you try guiding the PyTorch version with a better teacher network other than ResNet-101 (72.8)?
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Related Issues (20)
- Problems with the trained ResNet-101 and ERFNet HOT 3
- update pytorch version HOT 1
- moment pooling HOT 1
- ERFNet-SAD HOT 3
- how to add KD in intrRA-KD network? thanks
- Example codes of IntRA-KD
- Confused about the F1-measure of ERFNet on CULane HOT 1
- Import Error: libpython3.5m.so.1.0:cannot open shared object file:No such file or directory HOT 1
- Train and build in Windows
- Train Error
- about the test problems. HOT 1
- Test results on other data are not so satisfying
- Training codes of IntRA-KD HOT 7
- Test on CULane dataset HOT 1
- image data distribution HOT 1
- test problem ? HOT 1
- apollo datasets HOT 2
- The way of transforming apollo color to train_id HOT 1
- 你好，何时能开源训练代码
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