Comments (1)
Hi @daifeng2016 , this is a technique that has been used in the original cycleGAN paper for stability reasons. You can check out the paper that introduced the technique for proper explanation for the same.
from semi-supervised-segmentation-cyclegan.
Related Issues (18)
- I modified your code to train my crack data set and encountered some problems HOT 2
- network channel problem when use the ACDC dataset HOT 1
- the optimization turn of G and D HOT 1
- RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn HOT 1
- The output of x is nan.
- Channel issue with ACDC dataset HOT 3
- about the training
- Question regarding results in the paper
- Cityscapes HOT 1
- Results after training for 300 epochs not satisfying HOT 2
- validation error
- Hello!Code cannot be trained HOT 1
- There is something wrong with the code being tested!!! HOT 1
- main.py: error: argument --dataset: invalid choice: "'voc2012'" (choose from 'voc2012', 'cityscapes', 'acdc')
- ckpt_for_Arnab_loss.ckpt
- ACDC dataset
- Test code
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from semi-supervised-segmentation-cyclegan.