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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436121/ https://www.ncbi.nlm.nih.gov/pubmed/36048779 http://dx.doi.org/10.1371/journal.pone.0272961 |