Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery.
IEEE Transactions on Information Forensics and Security(2018)
摘要
We consider the use of deep convolutional neural networks (CNNs) with transfer learning for the image classification and detection problems posed within the context of X-ray baggage security imagery. The use of the CNN approach requires large amounts of data to facilitate a complex end-to-end feature extraction and classification process. Within the context of X-ray security screening, limited ava...
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关键词
X-ray imaging,Support vector machines,Security,Task analysis,Feature extraction,Convolutional neural networks,Object detection
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