Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Toxic and Narcotic Medication Detection with Rotated Object
  Detector   Recent years have witnessed the advancement of deep learning vision
technologies and applications in the medical industry. Intelligent devices for
special medication management are in great need of, which requires more precise
detection algorithms to identify the specifications and locations. In this
work, YOLO (You only look once) based object detectors are tailored for toxic
and narcotic medications detection tasks. Specifically, a more flexible
annotation with rotated degree ranging from $0^\circ$ to $90^\circ$ and a
mask-mapping-based non-maximum suppression method are proposed to achieve a
feasible and efficient medication detector aiming at arbitrarily oriented
bounding boxes. Extensive experiments demonstrate that the rotated YOLO
detectors are more suitable for identifying densely arranged drugs. The best
shot mean average precision of the proposed network reaches 0.811 while the
inference time is less than 300ms.

16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ