Direct link to paper which has good illustrations: https://tau-vailab.github.io/ProtoSnap/
Or another intermediary would be to train a model to transform photos to rubbing and have a more standard representation to work off of before training to recognize characters
You could then train one model on the rubbing->text and then each research center could make their own photo->rubbing model for their particular photography setup
So ideally the ml network would solve the problem end to end but these authors seem to be using a network for only one step of their otherwise classic image processing pipeline
A lot of applied work in vision and audio glues together different existing modules, instead of training the whole thing end-to-end.
In an ideal world, things are ideal. But the world isn't a grad student's wet dream.
But there are not as many influential papers in the world as there are people who respond: "Why didn't they train the whole thing end-to-end?"
(It had earlier defined Ma'at as "order, balance, and justice")
Now that archeologists are more productive with AI they can fire 20% of the staff over hired during covid, and give massive bonuses to the executives running museums and archeology departments.
Archeologists who stay can expect smaller stock grants, too.
Now get back to work before Elon gets here and demands 60+ hr workweeks and requires all 401k plans to be converted to DOGEcoin.
Because a man who hypes Social Security "as a ponzi scheme" knows that crypto is a good business proposition.
The real revolution would be AI reconstruction of the 3d fragments and filtering of the bulk documents (receipts) from the interesting historical augments. (Hate mail, spam, poetry, death threats, omens, math, etc.)
…Which will require lots of sample data for all the steps.
The only thing that differentiates Social Security from a typical Ponzi scheme is that a typical Ponzi scheme is now illegal.
Neither Boomers, Gen x, nor gen y, are paying enough contributions to meet their demands and are instead relying on contributions from future donors.
That is indistinguishable from what Ponzi did.