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. When applied to images massively crawled from the World Wide Web (including social media and dark Web sites), it can serve as an important component of systems that attempt to identify criminal firearms trafficking networks, by analyzing Big Data from open-source intelligence. Deep Neural Networks (DNN) are the state-of-the-art methodology for achieving this, with Convolutional Neural …

applications automated classification cs.ai cs.cv dark web images intelligence investigations law law enforcement media public security serve social social media space visual web world world wide web