Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Facial Landmark Detection via Aggregation on Geometrically
  Manipulated Faces   In this work, we present a practical approach to the problem of facial
landmark detection. The proposed method can deal with large shape and
appearance variations under the rich shape deformation. To handle the shape
variations we equip our method with the aggregation of manipulated face images.
The proposed framework generates different manipulated faces using only one
given face image. The approach utilizes the fact that small but carefully
crafted geometric manipulation in the input domain can fool deep face
recognition models. We propose three different approaches to generate
manipulated faces in which two of them perform the manipulations via
adversarial attacks and the other one uses known transformations. Aggregating
the manipulated faces provides a more robust landmark detection approach which
is able to capture more important deformations and variations of the face
shapes. Our approach is demonstrated its superiority compared to the
state-of-the-art method on benchmark datasets AFLW, 300-W, and COFW.

23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th