Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for
  Event Recognition   We present a novel event recognition approach called Spatially-preserved
Doubly-injected Object Detection CNN (S-DOD-CNN), which incorporates the
spatially preserved object detection information in both a direct and an
indirect way. Indirect injection is carried out by simply sharing the weights
between the object detection modules and the event recognition module.
Meanwhile, our novelty lies in the fact that we have preserved the spatial
information for the direct injection. Once multiple regions-of-intereset (RoIs)
are acquired, their feature maps are computed and then projected onto a
spatially-preserving combined feature map using one of the four RoI Projection
approaches we present. In our architecture, combined feature maps are generated
for object detection which are directly injected to the event recognition
module. Our method provides the state-of-the-art accuracy for malicious event
recognition.

17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph