MFA-net: Object detection for complex X-ray cargo and baggage security imagery.
Deep convolutional networks have been developed to detect prohibited items for automated inspection of X-ray screening systems in the transport security system. To our knowledge, the existing frameworks were developed to recognize threats using only baggage security X-ray scans. Therefore, the detec...
Main Authors: | Thanaporn Viriyasaranon, Seung-Hoon Chae, Jang-Hwan Choi |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0272961 |
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