DFL-CNN
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代码复现的正确率
Hello, thank you very much for sharing the code, why I use your code training only 42%
@xiangzhang06 Hello,When I try to train this code .The following problems are appeared.Do you know how to solve it? Thanks
/home/steven/Documents/test/DFL-CNN/main.py
DFL-CNN <==> Part1 : prepare for parameters <==> Begin
DFL-CNN <==> Part1 : prepare for parameters <==> Done
DFL-CNN <==> Part2 : Load Network <==> Begin
DFL-CNN <==> Part2 : Load Network <==> Done
DFL-CNN <==> Part3 : Load Dataset <==> Begin
Traceback (most recent call last):
File "/home/steven/Documents/test/DFL-CNN/main.py", line 180, in
Process finished with exit code 1
@xiangzhang06 Thank you for your reply. Specific loss weights is not '1:1:1', you can try to tune it.
@fxle --dataroot /PATH/TO/YOUR_DATA
@xiangzhang06 I got the same result as yours. Sad... Have you met the overfitting problem? i.e. Accuracy on train set is 100% while accuracy on test set is only ~48%?
Yes, I have the same problem as you. How did you solve it ? @pengshiqi