Data‐driven deep learning is effective in diagnosing known faults, but not so well when new
or unknown faults occur. With unknown faults as a zero‐shot learning problem, this article …

Anomalies are rare, contextual, and hard to annotate in anomaly detection scenarios.
Usually, anomalies are coarse-grained labeled and there exists at least one abnormal patch …

Recent advancements in Transformer-based monocular 3D object detection techniques
have exhibited exceptional performance in inferring 3D attributes from single 2D images. By …

Small object detection is a critical research area in computer vision, with broad applications
in industrial defect detection and satellite remote sensing. In printing defect detection …

Vehicle detection under low-light conditions remains a significant challenge in the field of
computer vision, exerting a notable impact on crucial applications such as autonomous …

Artificial intelligence (AI) has proven to be a key tool to improve the efficiency of video
surveillance systems, contributing to public safety. This systematic review aims to analyze …