Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improved Visual Relocalization by Discovering Anchor Points   We address the visual relocalization problem of predicting the location and
camera orientation or pose (6DOF) of the given input scene. We propose a method
based on how humans determine their location using the visible landmarks. We
define anchor points uniformly across the route map and propose a deep learning
architecture which predicts the most relevant anchor point present in the scene
as well as the relative offsets with respect to it. The relevant anchor point
need not be the nearest anchor point to the ground truth location, as it might
not be visible due to the pose. Hence we propose a multi task loss function,
which discovers the relevant anchor point, without needing the ground truth for
it. We validate the effectiveness of our approach by experimenting on
CambridgeLandmarks (large scale outdoor scenes) as well as 7 Scenes (indoor
scenes) using variousCNN feature extractors. Our method improves the median
error in indoor as well as outdoor localization datasets compared to the
previous best deep learning model known as PoseNet (with geometric
re-projection loss) using the same feature extractor. We improve the median
error in localization in the specific case of Street scene, by over 8m.

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The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: solv-int
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The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: nlin
18
The categories of this paper are: econ
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The categories of this paper are: stat
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The categories of this paper are: patt-sol
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The categories of this paper are: cmp-lg
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The categories of this paper are: plasm-ph