Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gaining Scale Invariance in UAV Bird's Eye View Object Detection by
  Adaptive Resizing   This work introduces a new preprocessing step for object detection applicable
to UAV bird's eye view imagery, which we call Adaptive Resizing. By design, it
helps alleviate the challenges coming with the vast variances in objects'
scales, naturally inherent to UAV data sets. Furthermore, it improves inference
speed by two to three times on average. We test this extensively on UAVDT,
VisDrone, and on a new data set we captured ourselves and achieve consistent
improvements while being considerably faster. Moreover, we show how to apply
this method to generic UAV object detection tasks. Additionally, we
successfully test our approach on a height transfer task where we train on some
interval of altitudes and test on a different one. Furthermore, we introduce a
small, fast detector meant for deployment to an embedded GPU. Code will be made
publicly available on our website.

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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: econ
33
The categories of this paper are: plasm-ph
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The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
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The categories of this paper are: eess
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The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
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The categories of this paper are: dg-ga
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The categories of this paper are: math
21
The categories of this paper are: adap-org
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The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc