  The considerable significance of Anomaly Detection (AD) problem has recently
drawn the attention of many researchers. Consequently, the number of proposed
methods in this research field has been increased steadily. AD strongly
correlates with the important computer vision and image processing tasks such
as image/video anomaly, irregularity and sudden event detection. More recently,
Deep Neural Networks (DNNs) offer a high performance set of solutions, but at
the expense of a heavy computational cost. However, there is a noticeable gap
between the previously proposed methods and an applicable real-word approach.
Regarding the raised concerns about AD as an ongoing challenging problem,
notably in images and videos, the time has come to argue over the pitfalls and
prospects of methods have attempted to deal with visual AD tasks. Hereupon, in
this survey we intend to conduct an in-depth investigation into the
images/videos deep learning based AD methods. We also discuss current
challenges and future research directions thoroughly.
