Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unsupervised Domain Attention Adaptation Network for Caricature
  Attribute Recognition   Caricature attributes provide distinctive facial features to help research in
Psychology and Neuroscience. However, unlike the facial photo attribute
datasets that have a quantity of annotated images, the annotations of
caricature attributes are rare. To facility the research in attribute learning
of caricatures, we propose a caricature attribute dataset, namely WebCariA.
Moreover, to utilize models that trained by face attributes, we propose a novel
unsupervised domain adaptation framework for cross-modality (i.e., photos to
caricatures) attribute recognition, with an integrated inter- and intra-domain
consistency learning scheme. Specifically, the inter-domain consistency
learning scheme consisting an image-to-image translator to first fill the
domain gap between photos and caricatures by generating intermediate image
samples, and a label consistency learning module to align their semantic
information. The intra-domain consistency learning scheme integrates the common
feature consistency learning module with a novel attribute-aware
attention-consistency learning module for a more efficient alignment. We did an
extensive ablation study to show the effectiveness of the proposed method. And
the proposed method also outperforms the state-of-the-art methods by a margin.
The implementation of the proposed method is available at
https://github.com/KeleiHe/DAAN.

17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat