Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cross-Domain Document Object Detection: Benchmark Suite and Method   Decomposing images of document pages into high-level semantic regions (e.g.,
figures, tables, paragraphs), document object detection (DOD) is fundamental
for downstream tasks like intelligent document editing and understanding. DOD
remains a challenging problem as document objects vary significantly in layout,
size, aspect ratio, texture, etc. An additional challenge arises in practice
because large labeled training datasets are only available for domains that
differ from the target domain. We investigate cross-domain DOD, where the goal
is to learn a detector for the target domain using labeled data from the source
domain and only unlabeled data from the target domain. Documents from the two
domains may vary significantly in layout, language, and genre. We establish a
benchmark suite consisting of different types of PDF document datasets that can
be utilized for cross-domain DOD model training and evaluation. For each
dataset, we provide the page images, bounding box annotations, PDF files, and
the rendering layers extracted from the PDF files. Moreover, we propose a novel
cross-domain DOD model which builds upon the standard detection model and
addresses domain shifts by incorporating three novel alignment modules: Feature
Pyramid Alignment (FPA) module, Region Alignment (RA) module and Rendering
Layer alignment (RLA) module. Extensive experiments on the benchmark suite
substantiate the efficacy of the three proposed modules and the proposed method
significantly outperforms the baseline methods. The project page is at
\url{https://github.com/kailigo/cddod}.

2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom