Leveraging Self-Supervised Learning for Scene Recognition in Child Sexual Abuse Imagery

arXiv:2403.01183v1 Announce Type: cross
Abstract: Crime in the 21st century is split into a virtual and real world. However, the former has become a global menace to people's well-being and security in the latter. The challenges it presents must be faced with unified global cooperation, and we must rely more than ever on automated yet trustworthy tools to combat the ever-growing nature of online offenses. Over 10 million child sexual abuse reports are submitted to the US National Center for …

abstract abuse arxiv become challenges child child sexual abuse crime cs.ai cs.cv cs.cy cs.lg global global cooperation people recognition security self-supervised learning supervised learning type virtual world