论文标题
视觉感觉异常检测的调查
A Survey of Visual Sensory Anomaly Detection
论文作者
论文摘要
视觉感觉异常检测（AD）是计算机视觉中的基本问题，由于AI的发展，最近它正在获得动力。与检测在标签水平（语义移位）上检测异常的语义异常检测相比，视觉感觉AD检测样品的异常部分（协变量移位）。但是，尚未提供详尽的审查来总结计算机视觉社区的此领域。在这项调查中，我们是第一个根据异常的形式将视觉感官广告和类别分为三个级别的全面审查的人。此外，我们根据监督水平对每种异常进行分类。最后，我们总结了挑战，并为这个社区提供了开放的方向。所有资源均可在https://github.com/m-3lab/awesome-visual-sensory-anomaly-detection上获得。
Visual sensory anomaly detection (AD) is an essential problem in computer vision, which is gaining momentum recently thanks to the development of AI for good. Compared with semantic anomaly detection which detects anomaly at the label level (semantic shift), visual sensory AD detects the abnormal part of the sample (covariate shift). However, no thorough review has been provided to summarize this area for the computer vision community. In this survey, we are the first one to provide a comprehensive review of visual sensory AD and category into three levels according to the form of anomalies. Furthermore, we classify each kind of anomaly according to the level of supervision. Finally, we summarize the challenges and provide open directions for this community. All resources are available at https://github.com/M-3LAB/awesome-visual-sensory-anomaly-detection.
