Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging

作者：

Highlights：

• Toxonomy - an extensive overview of classical machine learning and contemporary deep learning within X-ray security imaging.

• Datasets - an overview of the large datasets used to train deep learning approaches within the field.

• Open problems - discussion of the open problems, current challenges, and future directions based on the current trends within computer vision.

摘要

•Toxonomy - an extensive overview of classical machine learning and contemporary deep learning within X-ray security imaging.•Datasets - an overview of the large datasets used to train deep learning approaches within the field.•Open problems - discussion of the open problems, current challenges, and future directions based on the current trends within computer vision.

论文关键词：Review,Survey,X-Ray security imaging,Deep learning

论文评审过程：Received 31 May 2020, Revised 17 November 2020, Accepted 10 August 2021, Available online 8 September 2021, Version of Record 20 September 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108245