Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Attention-Fused Network for Semantic Segmentation of
  Very-High-Resolution Remote Sensing Imagery   Semantic segmentation is an essential part of deep learning. In recent years,
with the development of remote sensing big data, semantic segmentation has been
increasingly used in remote sensing. Deep convolutional neural networks (DCNNs)
face the challenge of feature fusion: very-high-resolution remote sensing image
multisource data fusion can increase the network's learnable information, which
is conducive to correctly classifying target objects by DCNNs; simultaneously,
the fusion of high-level abstract features and low-level spatial features can
improve the classification accuracy at the border between target objects. In
this paper, we propose a multipath encoder structure to extract features of
multipath inputs, a multipath attention-fused block module to fuse multipath
features, and a refinement attention-fused block module to fuse high-level
abstract features and low-level spatial features. Furthermore, we propose a
novel convolutional neural network architecture, named attention-fused network
(AFNet). Based on our AFNet, we achieve state-of-the-art performance with an
overall accuracy of 91.7% and a mean F1 score of 90.96% on the ISPRS Vaihingen
2D dataset and an overall accuracy of 92.1% and a mean F1 score of 93.44% on
the ISPRS Potsdam 2D dataset.

5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
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The categories of this paper are: physics
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The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas