The state-of-the-art in discriminative unsupervised surface anomaly dete...
A key component towards an improved and fast cancer diagnosis is the
dev...
Visual surface anomaly detection aims to detect local image regions that...
In this paper, we present a ship detection pipeline for low-cost medium
...
Anomaly detection in visual data refers to the problem of differentiatin...
Detection of visual anomalies refers to the problem of finding patterns ...
Deep-learning methods have recently started being employed for addressin...
Segmentation-based, two-stage neural network has shown excellent results...
Automatic detection and recognition of traffic signs plays a crucial rol...
Automated surface-anomaly detection using machine learning has become an...