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Illicit object detection in X-ray images using Vision Transformers
The results demonstrate the remarkable accuracy of the DINO Transformer detector in the low-data regime, the impressive real-time performance of YOLOv8, and the effectiveness of the hybrid NextViT backbone.
Self-supervised visual learning for analyzing firearms trafficking activities on the Web
Automated visual firearms classification from RGB images is an important real-world task with applications in public space security, intelligence gathering and law enforcement investigations.
Visual inspection for illicit items in X-ray images using Deep Learning
Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers in airports, subways, customs/post offices, etc.
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