Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Rail Component Detection Based on AttnConv-Net   The automatic detection of major rail components using railway images is
beneficial to ensure the rail transport safety. In this paper, we propose an
attention-powered deep convolutional network (AttnConv-net) to detect multiple
rail components including the rail, clips, and bolts. The proposed method
consists of a deep convolutional neural network (DCNN) as the backbone,
cascading attention blocks (CAB), and two feed forward networks (FFN). Two
types of positional embedding are applied to enrich information in latent
features extracted from the backbone. Based on processed latent features, the
CAB aims to learn the local context of rail components including their
categories and component boundaries. Final categories and bounding boxes are
generated via two FFN implemented in parallel. To enhance the detection of
small components, various data augmentation methods are employed in the
training process. The effectiveness of the proposed AttnConv-net is validated
with one real dataset and another synthesized dataset. Compared with classic
convolutional neural network based methods, our proposed method simplifies the
detection pipeline by eliminating the need of prior- and post-processing, which
offers a new speed-quality solution to enable faster and more accurate
image-based rail component detections

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The categories of this paper are: cond-mat
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
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The categories of this paper are: math-ph
2
The categories of this paper are: math
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The categories of this paper are: hep-ex
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The categories of this paper are: solv-int