Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Forged Facial Videos using convolutional neural network   In this paper, we propose to detect forged videos, of faces, in online
videos. To facilitate this detection, we propose to use smaller (fewer
parameters to learn) convolutional neural networks (CNN), for a data-driven
approach to forged video detection. To validate our approach, we investigate
the FaceForensics public dataset detailing both frame-based and video-based
results. The proposed method is shown to outperform current state of the art.
We also perform an ablation study, analyzing the impact of batch size, number
of filters, and number of network layers on the accuracy of detecting forged
videos.

24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th