Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PhIT-Net: Photo-consistent Image Transform for Robust Illumination
  Invariant Matching   We propose a new and completely data-driven approach for generating a
photo-consistent image transform. We show that simple classical algorithms
which operate in the transform domain become extremely resilient to
illumination changes. This considerably improves matching accuracy,
outperforming the use of state-of-the-art invariant representations as well as
new matching methods based on deep features. The transform is obtained by
training a neural network with a specialized triplet loss, designed to
emphasize actual scene changes while attenuating illumination changes. The
transform yields an illumination invariant representation, structured as an
image map, which is highly flexible and can be easily used for various tasks.

31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex