Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face
  Extraction   Occlusions often occur in face images in the wild, troubling face-related
tasks such as landmark detection, 3D reconstruction, and face recognition. It
is beneficial to extract face regions from unconstrained face images
accurately. However, current face segmentation datasets suffer from small data
volumes, few occlusion types, low resolution, and imprecise annotation,
limiting the performance of data-driven-based algorithms. This paper proposes a
novel face occlusion dataset with manually labeled face occlusions from the
CelebA-HQ and the internet. The occlusion types cover sunglasses, spectacles,
hands, masks, scarfs, microphones, etc. To the best of our knowledge, it is by
far the largest and most comprehensive face occlusion dataset. Combining it
with the attribute mask in CelebAMask-HQ, we trained a straightforward face
segmentation model but obtained SOTA performance, convincingly demonstrating
the effectiveness of the proposed dataset.

17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio