Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: WEDGE: Web-Image Assisted Domain Generalization for Semantic
  Segmentation   Domain generalization for semantic segmentation is highly demanded in real
applications, where a trained model is expected to work well in previously
unseen domains. One challenge lies in the lack of data which could cover the
diverse distributions of the possible unseen domains for training. In this
paper, we propose a WEb-image assisted Domain GEneralization (WEDGE) scheme,
which is the first to exploit the diversity of web-crawled images for
generalizable semantic segmentation. To explore and exploit the real-world data
distributions, we collect a web-crawled dataset which presents large diversity
in terms of weather conditions, sites, lighting, camera styles, etc. We also
present a method which injects the style representation of the web-crawled data
into the source domain on-the-fly during training, which enables the network to
experience images of diverse styles with reliable labels for effective
training. Moreover, we use the web-crawled dataset with predicted pseudo labels
for training to further enhance the capability of the network. Extensive
experiments demonstrate that our method clearly outperforms existing domain
generalization techniques.

10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an