Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Addressing Visual Search in Open and Closed Set Settings   Searching for small objects in large images is a task that is both
challenging for current deep learning systems and important in numerous
real-world applications, such as remote sensing and medical imaging. Thorough
scanning of very large images is computationally expensive, particularly at
resolutions sufficient to capture small objects. The smaller an object of
interest, the more likely it is to be obscured by clutter or otherwise deemed
insignificant. We examine these issues in the context of two complementary
problems: closed-set object detection and open-set target search. First, we
present a method for predicting pixel-level objectness from a low resolution
gist image, which we then use to select regions for performing object detection
locally at high resolution. This approach has the benefit of not being fixed to
a predetermined grid, thereby requiring fewer costly high-resolution glimpses
than existing methods. Second, we propose a novel strategy for open-set visual
search that seeks to find all instances of a target class which may be
previously unseen and is defined by a single image. We interpret both detection
problems through a probabilistic, Bayesian lens, whereby the objectness maps
produced by our method serve as priors in a maximum-a-posteriori approach to
the detection step. We evaluate the end-to-end performance of both the
combination of our patch selection strategy with this target search approach
and the combination of our patch selection strategy with standard object
detection methods. Both elements of our approach are seen to significantly
outperform baseline strategies.

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The categories of this paper are: comp-gas
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: chem-ph
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The categories of this paper are: math-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: eess
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The categories of this paper are: nucl-ex
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The categories of this paper are: alg-geom
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The categories of this paper are: mtrl-th
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The categories of this paper are: supr-con
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The categories of this paper are: q-alg
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The categories of this paper are: gr-qc
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The categories of this paper are: physics
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The categories of this paper are: nucl-th