DAGNet, a three-module architecture, improves multi-label contraband classification mAP on the DvXray dual-view X-ray dataset by about 1.5 to 2.4 points over AHCR and 2.5 to 4.8 points over the dual-view baseline.
Towards real-world x-ray security inspection: A high- quality benchmark and lateral inhibition module for prohibited items detection,
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DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection
DAGNet, a three-module architecture, improves multi-label contraband classification mAP on the DvXray dual-view X-ray dataset by about 1.5 to 2.4 points over AHCR and 2.5 to 4.8 points over the dual-view baseline.