Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SalGaze: Personalizing Gaze Estimation Using Visual Saliency   Traditional gaze estimation methods typically require explicit user
calibration to achieve high accuracy. This process is cumbersome and
recalibration is often required when there are changes in factors such as
illumination and pose. To address this challenge, we introduce SalGaze, a
framework that utilizes saliency information in the visual content to
transparently adapt the gaze estimation algorithm to the user without explicit
user calibration. We design an algorithm to transform a saliency map into a
differentiable loss map that can be used for the optimization of CNN-based
models. SalGaze is also able to greatly augment standard point calibration data
with implicit video saliency calibration data using a unified framework. We
show accuracy improvements over 24% using our technique on existing methods.

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The categories of this paper are: cmp-lg
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The categories of this paper are: atom-ph
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The categories of this paper are: stat
9
The categories of this paper are: nlin
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The categories of this paper are: chao-dyn
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: quant-ph
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The categories of this paper are: q-alg
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The categories of this paper are: alg-geom
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The categories of this paper are: q-bio
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The categories of this paper are: acc-phys
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The categories of this paper are: math-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat