In recent years, deep learning methods have been widely used in various industrial
scenarios, promoting industrial intelligence. Real-time surface defect inspection of industrial …

Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …

While the performance of face recognition systems has improved significantly in the last
decade, they are proved to be highly vulnerable to presentation attacks (spoofing). Most of …

Vehicles can encounter a myriad of obstacles on the road, and it is impossible to record
them all beforehand to train a detector. Instead, we select image patches and inpaint them …

In the present study, the digital volume correlation (DVC) technique is used to study the
deformation behavior occurring inside a carbon fibre-reinforced epoxy composite. While a …

Visual anomaly detection aims to identify areas where the appearance deviates from the
normal distribution. Reconstruction-based methods detect anomalies through the analysis of …

We focus on a specific use case in anomaly detection where the distribution of normal
samples is supported by a lower-dimensional manifold. Here, regularized autoencoders …

We focus on detecting anomalies in images where the data distribution is supported by a
lower-dimensional embedded manifold. Approaches based on autoencoders have aimed to …

Visual inspection systems (VISs) are one of the key technologies needed for mass
production in the manufacturing industry. Fast and accurate algorithms are required for …

Techniques for monitoring a computing environment for anomalous activity are presented.
An example method includes receiving a request to invoke an action within a computing …