Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces
  using Generative Adversarial Networks   The large domain discrepancy between faces captured in polarimetric (or
conventional) thermal and visible domain makes cross-domain face verification a
highly challenging problem for human examiners as well as computer vision
algorithms. Previous approaches utilize either a two-step procedure (visible
feature estimation and visible image reconstruction) or an input-level fusion
technique, where different Stokes images are concatenated and used as a
multi-channel input to synthesize the visible image given the corresponding
polarimetric signatures. Although these methods have yielded improvements, we
argue that input-level fusion alone may not be sufficient to realize the full
potential of the available Stokes images. We propose a Generative Adversarial
Networks (GAN) based multi-stream feature-level fusion technique to synthesize
high-quality visible images from prolarimetric thermal images. The proposed
network consists of a generator sub-network, constructed using an
encoder-decoder network based on dense residual blocks, and a multi-scale
discriminator sub-network. The generator network is trained by optimizing an
adversarial loss in addition to a perceptual loss and an identity preserving
loss to enable photo realistic generation of visible images while preserving
discriminative characteristics. An extended dataset consisting of polarimetric
thermal facial signatures of 111 subjects is also introduced. Multiple
experiments evaluated on different experimental protocols demonstrate that the
proposed method achieves state-of-the-art performance. Code will be made
available at https://github.com/hezhangsprinter.

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The categories of this paper are: cmp-lg
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The categories of this paper are: funct-an
2
The categories of this paper are: math
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The categories of this paper are: chem-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-lat
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The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
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The categories of this paper are: patt-sol
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The categories of this paper are: supr-con