Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image
  Segmentation   Recently, Neural Architecture Search (NAS) has successfully identified neural
network architectures that exceed human designed ones on large-scale image
classification. In this paper, we study NAS for semantic image segmentation.
Existing works often focus on searching the repeatable cell structure, while
hand-designing the outer network structure that controls the spatial resolution
changes. This choice simplifies the search space, but becomes increasingly
problematic for dense image prediction which exhibits a lot more network level
architectural variations. Therefore, we propose to search the network level
structure in addition to the cell level structure, which forms a hierarchical
architecture search space. We present a network level search space that
includes many popular designs, and develop a formulation that allows efficient
gradient-based architecture search (3 P100 GPU days on Cityscapes images). We
demonstrate the effectiveness of the proposed method on the challenging
Cityscapes, PASCAL VOC 2012, and ADE20K datasets. Auto-DeepLab, our
architecture searched specifically for semantic image segmentation, attains
state-of-the-art performance without any ImageNet pretraining.

6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
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The categories of this paper are: math-ph
30
The categories of this paper are: q-alg