Hi, thanks for sharing the SCSegamba code and datasets.
I have three questions about the dataset splits:
-
How were the train/validation/test sets created? Were they randomly split, stratified, or grouped by image source or scene? What random seed was used?
-
For DeepCrack, why does the released split contain 373/58/106 images instead of the commonly used 300/237 split? Are the results in the paper based on the released split?
-
Could you share the split-generation script or filename lists so that the experiments can be reproduced exactly?
Thanks for your help!
Hi, thanks for sharing the SCSegamba code and datasets.
I have three questions about the dataset splits:
How were the train/validation/test sets created? Were they randomly split, stratified, or grouped by image source or scene? What random seed was used?
For DeepCrack, why does the released split contain 373/58/106 images instead of the commonly used 300/237 split? Are the results in the paper based on the released split?
Could you share the split-generation script or filename lists so that the experiments can be reproduced exactly?
Thanks for your help!