Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Transformer-based HTR for Historical Documents   We apply the TrOCR framework to real-world, historical manuscripts and show
that TrOCR per se is a strong model, ideal for transfer learning. TrOCR has
been trained on English only, but it can adapt to other languages that use the
Latin alphabet fairly easily and with little training material. We compare
TrOCR against a SOTA HTR framework (Transkribus) and show that it can beat such
systems. This finding is essential since Transkribus performs best when it has
access to baseline information, which is not needed at all to fine-tune TrOCR.

18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
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The categories of this paper are: q-fin
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The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an