Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed ...

The recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, researchers provide a comprehensive review of deep learning-based ...

Imagimob AI, a development platform for building tinyML applications for edge devices, adds support for deep learning anomaly detection. Deep anomaly detection—the identification of rare items, events ...

COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model Peer-Reviewed Publication Beijing Zhongke Journal Publising Co. Ltd.

In this study, we explore an image-based method to automate the manual anomaly detection process on quality control plots using deep learning. To do this we trained a Convolutional Neural Network (CNN ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

Artificial intelligence tackles the deepfake problem through deep learning that takes anomaly detection to an entirely new level.

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

This article explores the transformative potential of machine learning algorithms in combating supply chain fraud, focusing on techniques such as supervised and unsupervised learning, anomaly ...