Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multistage Model for Robust Face Alignment Using Deep Neural Networks   An ability to generalize unconstrained conditions such as severe occlusions
and large pose variations remains a challenging goal to achieve in face
alignment. In this paper, a multistage model based on deep neural networks is
proposed which takes advantage of spatial transformer networks, hourglass
networks and exemplar-based shape constraints. First, a spatial transformer -
generative adversarial network which consists of convolutional layers and
residual units is utilized to solve the initialization issues caused by face
detectors, such as rotation and scale variations, to obtain improved face
bounding boxes for face alignment. Then, stacked hourglass network is employed
to obtain preliminary locations of landmarks as well as their corresponding
scores. In addition, an exemplar-based shape dictionary is designed to
determine landmarks with low scores based on those with high scores. By
incorporating face shape constraints, misaligned landmarks caused by occlusions
or cluttered backgrounds can be considerably improved. Extensive experiments
based on challenging benchmark datasets are performed to demonstrate the
superior performance of the proposed method over other state-of-the-art
methods.

5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
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The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat