Paper Info
Title
Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats.
Abstract
Screening baggage against potential threats has become one of the prime aviation security concerns all over the world, where manual detection of prohibited items is a time-consuming and hectic process. Many researchers have developed autonomous systems to recognize baggage threats using security X-ray scans. However, all of these frameworks are vulnerable against screening cluttered and concealed contraband items. Furthermore, to the best of our knowledge, no framework possesses the capacity to recognize baggage threats across multiple scanner specifications without an explicit retraining process. To overcome this, we present a novel meta-transfer learning-driven tensor-shot detector that decomposes the candidate scan into dual-energy tensors and employs a meta-one-shot classification backbone to recognize and localize the cluttered baggage threats. In addition, the proposed detection framework can be well-generalized to multiple scanner specifications due to its capacity to generate object proposals from the unified tensor maps rather than diversified raw scans. We have rigorously evaluated the proposed tensor-shot detector on the publicly available SIXray and GDXray datasets (containing a cumulative of 1,067,381 grayscale and colored baggage X-ray scans). On the SIXray dataset, the proposed framework achieved a mean average precision (mAP) of 0.6457, and on the GDXray dataset, it achieved the precision and F-1 score of 0.9441 and 0.9598, respectively. Furthermore, it outperforms state-of-the-art frameworks by 8.03% in terms of mAP, 1.49% in terms of precision, and 0.573% in terms of F-1 on the SIXray and GDXray dataset, respectively.
Year
DOI
Venue
2020
10.3390/s20226450
SENSORS
Keywords
DocType
Volume
aviation security,meta-transfer learning,one-shot learning,convolutional neural networks,structure tensors,X-ray imagery
Journal
20
Issue
ISSN
Citations 
22
1424-8220
2
PageRank 
References 
Authors
0.37
9
7
Name
Order
Citations
PageRank
Taimur Hassan1135.69
Muhammad Shafay220.37
Samet Akcay3216.33
Salman Khan438741.05
M. Bennamoun53197167.23
Ernesto Damiani63911416.18
Naoufel Werghi732641.99