Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hierarchical Domain-Adapted Feature Learning for Video Saliency
  Prediction   In this work, we propose a 3D fully convolutional architecture for video
saliency prediction that employs hierarchical supervision on intermediate maps
(referred to as conspicuity maps) generated using features extracted at
different abstraction levels. We provide the base hierarchical learning
mechanism with two techniques for domain adaptation and domain-specific
learning. For the former, we encourage the model to unsupervisedly learn
hierarchical general features using gradient reversal at multiple scales, to
enhance generalization capabilities on datasets for which no annotations are
provided during training. As for domain specialization, we employ
domain-specific operations (namely, priors, smoothing and batch normalization)
by specializing the learned features on individual datasets in order to
maximize performance. The results of our experiments show that the proposed
model yields state-of-the-art accuracy on supervised saliency prediction. When
the base hierarchical model is empowered with domain-specific modules,
performance improves, outperforming state-of-the-art models on three out of
five metrics on the DHF1K benchmark and reaching the second-best results on the
other two. When, instead, we test it in an unsupervised domain adaptation
setting, by enabling hierarchical gradient reversal layers, we obtain
performance comparable to supervised state-of-the-art.

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The categories of this paper are: astro-ph
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ex
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The categories of this paper are: quant-ph
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
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The categories of this paper are: supr-con
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The categories of this paper are: funct-an
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The categories of this paper are: bayes-an
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The categories of this paper are: gr-qc
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The categories of this paper are: eess
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The categories of this paper are: solv-int
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The categories of this paper are: comp-gas
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The categories of this paper are: econ
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The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph