Image classification represents the most straightforward among the three tasks and entails the categorization of an entire image into one of several predetermined classes. The outcome of an image ...

Before deep learning, traditional methods for object detection and segmentation were used. These rely on edges, textures, or color histograms combined with classifiers like SVMs or decision trees.

On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security ... We find that sub-component level segmentation produces marginally ...

In general, Anomaly detection is also called Novelty Detection or Outlier Detection, Forgery Detection and Out-of-distribution Detection. Each term has slightly different meanings. Mostly, on the ...

This Collection showcases some of our latest research on computer vision, particularly highlighting the advance in recognition, classification, and segmentation. Skip to main content Thank you for ...

With the rapid development of intelligent surveillance, video anomaly detection has become a popular topic in related areas of artificial intelligence. In this work, the main focus is on those ...