Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Canonical Saliency Maps: Decoding Deep Face Models   As Deep Neural Network models for face processing tasks approach human-like
performance, their deployment in critical applications such as law enforcement
and access control has seen an upswing, where any failure may have far-reaching
consequences. We need methods to build trust in deployed systems by making
their working as transparent as possible. Existing visualization algorithms are
designed for object recognition and do not give insightful results when applied
to the face domain. In this work, we present 'Canonical Saliency Maps', a new
method that highlights relevant facial areas by projecting saliency maps onto a
canonical face model. We present two kinds of Canonical Saliency Maps:
image-level maps and model-level maps. Image-level maps highlight facial
features responsible for the decision made by a deep face model on a given
image, thus helping to understand how a DNN made a prediction on the image.
Model-level maps provide an understanding of what the entire DNN model focuses
on in each task and thus can be used to detect biases in the model. Our
qualitative and quantitative results show the usefulness of the proposed
canonical saliency maps, which can be used on any deep face model regardless of
the architecture.

34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th