Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts   Digitization of newspapers is of interest for many reasons including
preservation of history, accessibility and search ability, etc. While
digitization of documents such as scientific articles and magazines is
prevalent in literature, one of the main challenges for digitization of
newspaper lies in its complex layout (e.g. articles spanning multiple columns,
text interrupted by images) analysis, which is necessary to preserve human
read-order. This work provides a major breakthrough in the digitization of
newspapers on three fronts: first, releasing a dataset of 3000 fully-annotated,
real-world newspaper images from 21 different U.S. states representing an
extensive variety of complex layouts for document layout analysis; second,
proposing layout segmentation as a precursor to existing optical character
recognition (OCR) engines, where multiple state-of-the-art image segmentation
models and several post-processing methods are explored for document layout
segmentation; third, providing a thorough and structured evaluation protocol
for isolated layout segmentation and end-to-end OCR.

28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci