Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot
  Image-to-Image Translation   Image-to-image translation models have shown remarkable ability on
transferring images among different domains. Most of existing work follows the
setting that the source domain and target domain keep the same at training and
inference phases, which cannot be generalized to the scenarios for translating
an image from an unseen domain to another unseen domain. In this work, we
propose the Unsupervised Zero-Shot Image-to-image Translation (UZSIT) problem,
which aims to learn a model that can translate samples from image domains that
are not observed during training. Accordingly, we propose a framework called
ZstGAN: By introducing an adversarial training scheme, ZstGAN learns to model
each domain with domain-specific feature distribution that is semantically
consistent on vision and attribute modalities. Then the domain-invariant
features are disentangled with an shared encoder for image generation. We carry
out extensive experiments on CUB and FLO datasets, and the results demonstrate
the effectiveness of proposed method on UZSIT task. Moreover, ZstGAN shows
significant accuracy improvements over state-of-the-art zero-shot learning
methods on CUB and FLO.

9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys