Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting The Objects on The Road Using Modular Lightweight Network   This paper presents a modular lightweight network model for road objects
detection, such as car, pedestrian and cyclist, especially when they are far
away from the camera and their sizes are small. Great advances have been made
for the deep networks, but small objects detection is still a challenging task.
In order to solve this problem, majority of existing methods utilize
complicated network or bigger image size, which generally leads to higher
computation cost. The proposed network model is referred to as modular feature
fusion detector (MFFD), using a fast and efficient network architecture for
detecting small objects. The contribution lies in the following aspects: 1) Two
base modules have been designed for efficient computation: Front module reduce
the information loss from raw input images; Tinier module decrease model size
and computation cost, while ensuring the detection accuracy. 2) By stacking the
base modules, we design a context features fusion framework for multi-scale
object detection. 3) The propose method is efficient in terms of model size and
computation cost, which is applicable for resource limited devices, such as
embedded systems for advanced driver assistance systems (ADAS). Comparisons
with the state-of-the-arts on the challenging KITTI dataset reveal the
superiority of the proposed method. Especially, 100 fps can be achieved on the
embedded GPUs such as Jetson TX2.

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The categories of this paper are: funct-an
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
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The categories of this paper are: atom-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys