Reconstruction by inpainting for visual anomaly detection

作者：

Highlights：

• A reconstruction-by-inpainting-based anomaly detection method (RIAD) was proposed.

• RIAD achieves state-of-the-art performance on anomaly detection and localization.

• We compare RIAD anomaly detection results with recent anomaly detection methods.

• The generality of RIAD is demonstrated by applying it on video anomaly detection.

摘要

•A reconstruction-by-inpainting-based anomaly detection method (RIAD) was proposed.•RIAD achieves state-of-the-art performance on anomaly detection and localization.•We compare RIAD anomaly detection results with recent anomaly detection methods.•The generality of RIAD is demonstrated by applying it on video anomaly detection.

论文关键词：Anomaly detection,Video anomaly detection,Inpainting,CNN

论文评审过程：Received 29 May 2020, Revised 22 September 2020, Accepted 14 October 2020, Available online 17 October 2020, Version of Record 30 January 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107706