Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Combining Visual Saliency Methods and Sparse Keypoint Annotations to
  Providently Detect Vehicles at Night   Provident detection of other road users at night has the potential for
increasing road safety. For this purpose, humans intuitively use visual cues,
such as light cones and light reflections emitted by other road users to be
able to react to oncoming traffic at an early stage. This behavior can be
imitated by computer vision methods by predicting the appearance of vehicles
based on emitted light reflections caused by the vehicle's headlights. Since
current object detection algorithms are mainly based on detecting directly
visible objects annotated via bounding boxes, the detection and annotation of
light reflections without sharp boundaries is challenging. For this reason, the
extensive open-source dataset PVDN (Provident Vehicle Detection at Night) was
published, which includes traffic scenarios at night with light reflections
annotated via keypoints. In this paper, we explore the potential of
saliency-based approaches to create different object representations based on
the visual saliency and sparse keypoint annotations of the PVDN dataset. For
that, we extend the general idea of Boolean map saliency towards a
context-aware approach by taking into consideration sparse keypoint annotations
by humans. We show that this approach allows for an automated derivation of
different object representations, such as binary maps or bounding boxes so that
detection models can be trained on different annotation variants and the
problem of providently detecting vehicles at night can be tackled from
different perspectives. With that, we provide further powerful tools and
methods to study the problem of detecting vehicles at night before they are
actually visible.

22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org