Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CNNs Fusion for Building Detection in Aerial Images for the Building
  Detection Challenge   This paper presents our contribution to the DeepGlobe Building Detection
Challenge. We enhanced the SpaceNet Challenge winning solution by proposing a
new fusion strategy based on a deep combiner using segmentation both results of
different CNN and input data to segment. Segmentation results for all cities
have been significantly improved (between 1% improvement over the baseline for
the smallest one to more than 7% for the largest one). The separation of
adjacent buildings should be the next enhancement made to the solution.

36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas