Fine tuning with data of lower resolution

[Ping-Jung Liu]

Hi Authors,

First I'd like to express my great gratitude toward you sharing this wonderful work. The paper is well written and code base clear.
I was trying to tune the provided LEVIR-CD model using a lower resolution small dataset OSCD (10m/pixel, 24 pairs).
Using the default training specification, img_size 256, batch 8, lr 0.001, lr_policy linear, the model seemed unable to find the balance between the precision and recall between 0 and 1, which means inference is either full black or full white. I am curious whether you have tried fine tuning the model with other data, and if you have any suggestion on this task?
Thank you very much!

Best,
Ping-Jung Liu