You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am training PICK on a privately annotated invoice dataset. At the moment LayoutLM V2's performance seems to be better than PICK.
Will pre-training the encoders help?
I am seeing that the resnet50 being used in pick has been modified.
Can somebody suggest what would be the best method to boost a bit of performance? At the moment my training samples are less than 1000. Almost similar to SROIE.
The text was updated successfully, but these errors were encountered:
I am training PICK on a privately annotated invoice dataset. At the moment LayoutLM V2's performance seems to be better than PICK.
Will pre-training the encoders help?
I am seeing that the resnet50 being used in pick has been modified.
Can somebody suggest what would be the best method to boost a bit of performance? At the moment my training samples are less than 1000. Almost similar to SROIE.
The text was updated successfully, but these errors were encountered: