Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Visually Explaining Video Understanding Networks with
  Perturbation   ''Making black box models explainable'' is a vital problem that accompanies
the development of deep learning networks. For networks taking visual
information as input, one basic but challenging explanation method is to
identify and visualize the input pixels/regions that dominate the network's
prediction. However, most existing works focus on explaining networks taking a
single image as input and do not consider the temporal relationship that exists
in videos. Providing an easy-to-use visual explanation method that is
applicable to diversified structures of video understanding networks still
remains an open challenge. In this paper, we investigate a generic
perturbation-based method for visually explaining video understanding networks.
Besides, we propose a novel loss function to enhance the method by constraining
the smoothness of its results in both spatial and temporal dimensions. The
method enables the comparison of explanation results between different network
structures to become possible and can also avoid generating the pathological
adversarial explanations for video inputs. Experimental comparison results
verified the effectiveness of our method.

30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph